An AI hospital and an operation method and a business model of AI diagnosis and treatment, prescription and medicine taking

Abstract

This invention discloses an AI hospital and its operational methods and business model for AI diagnosis, prescription, and medication dispensing, relating to the smart healthcare industry. It employs an AI robot doctor integrated with detection equipment to provide better assessment of patients' conditions. The AI ​​robot doctor has its own stored medical records and a backend server with big data on medical records and computing power. Based on the patient's weight, height, age, physique, and various detected indicators, it generates targeted prescriptions and dosages. Robots or automated equipment retrieve various medications, print dosage instructions, and package them, placing them at a designated location for patients and their families to collect, informing them of the dosage and method of administration. The backend server stores each patient's historical records for easier follow-up appointments. The AI ​​robot doctor can also prescribe dietary therapy formulas for patients to use to treat their conditions and achieve recovery and health.

Description

Technical Field

[0001] This invention relates to the application of artificial intelligence (AI) and robotics technology in the medical industry, and in particular to an AI hospital and its operation methods and business models for AI diagnosis, prescription, and drug dispensing; specifically, this invention relates to the intelligent diagnosis, automatic prescription issuance, drug retrieval and distribution by AI robot doctors in an AI hospital, as well as the corresponding charging and commercial management methods. Background Technology

[0002] With the continuous advancement of artificial intelligence (AI) technology, its application in the medical field is gradually increasing, especially in disease diagnosis, treatment assistance, surgical procedures, and drug management. Traditional hospital-based manual diagnosis and treatment methods are not only inefficient but also susceptible to human factors, such as diagnostic errors and medication mismatches. The introduction of robotics and AI technologies can significantly improve the accuracy and efficiency of medical services. Currently, many medical institutions have begun to try to apply AI and robotics technologies to routine medical services, such as intelligent diagnosis, automated prescription dispensing, and surgical assistance. However, most are still in the exploratory stage, and the maturity of the technology and the effectiveness of its practical application are limited. In addition, the commercialization models of the existing medical system in terms of billing, drug management, and patient health management have not been fully optimized, making it difficult to meet the growing market demand. Therefore, how to effectively integrate AI robot doctors with all aspects of medical services, improve medical efficiency and accuracy, and achieve reasonable commercial management on this basis has become an urgent problem to be solved in the current medical industry. Summary of the Invention

[0003] The purpose of this invention is to provide an AI hospital and an operational method and business model for AI diagnosis, prescription, and medication dispensing. By combining AI and robotics technologies, a fully intelligent diagnosis and treatment process is achieved, automating everything from patient information collection, diagnosis, prescription, medication dispensing to payment settlement, thus improving the efficiency and accuracy of medical services. Specifically, the AI ​​hospital includes basic building functions, an AI robot doctor, testing and laboratory equipment, a medical record collection and storage system, a prescription and medication history retrieval system, a case and rehabilitation case collection, storage, and retrieval system, a human management and monitoring room, an AI machine and local system, a backend server, and human feature algorithms to draw conclusions. It also includes an electronic prescription and medication dispensing system, a payment confirmation system, a paper and electronic medical record management system, and a paper medical record printing system. Based on the prescription issued by the AI ​​robot doctor, after the patient agrees and confirms payment, the robot automatically dispenses the medication, placing it in a container or packaging it before delivering it to the patient. The aforementioned building functions and infrastructure include an intelligent hospital management system and Internet of Things (IoT) devices; the intelligent hospital management system integrates hospital management, treatment processes, queuing systems, appointment systems, and medical resource allocation functions; the IoT devices connect hospital beds, testing equipment, and laboratory equipment to the hospital management system, and monitor patient status in real time through sensors and network protocols. The AI ​​robot doctor is equipped with an AI system, a speech recognition and natural language processing system, and machine learning and deep learning capabilities. The speech recognition and natural language processing system technology realizes speech-to-text conversion and combines natural language processing tools for disease analysis and dialogue generation. The machine learning and deep learning technologies enable the AI ​​robot doctor to perform symptom matching and prediction based on historical cases and patient information using deep neural networks. The case data collection and storage includes data collection and storage, and human feature algorithm technology. The data collection and storage can establish a unified electronic health record, storing the patient's historical medical records, physical examination results, laboratory data, etc. in structured or unstructured data; it is also equipped with cloud storage and database; the human feature algorithm technology uses feature extraction and machine learning models, combined with the patient's physical characteristics such as age, gender, genes, etc., and uses machine learning algorithms such as decision trees and random forests to perform personalized diagnostic predictions. The electronic prescription and drug capture, electronic prescription generation engine, based on the patient's symptoms, signs and medical knowledge base, uses a rule engine to generate standardized electronic prescriptions, and can also use natural language generation technology to convert the diagnosis results into prescription information that doctors can read; The drug grabbing and automation system includes a robotic drug grabbing system and an automated drug delivery system. The robotic drug grabbing system uses robots to automatically grab drugs; through computer vision and drug recognition technology, it automatically identifies drugs and completes the grabbing. The robotic grabbing system can be used in conjunction with an automated material handling system to realize the automatic handling and packaging of drugs. The automated drug delivery system also uses robots to transport drugs to patients or medical staff via electric trolleys or automated guided vehicles to ensure accurate delivery. The payment confirmation system includes an electronic signature and verification system and a payment system. The electronic signature and verification system uses the platform's integrated electronic signature function to ensure that patients sign electronic consent after a prescription is issued. The system can automatically record information such as the consent time and signatory, and upload it to the cloud for storage. The payment system supports payment methods such as Alipay, WeChat Pay, Apple Pay, and bank cards, allowing patients to complete payment after confirmation by an AI robot doctor. After payment, the system automatically triggers instructions for drug retrieval and delivery. The paper-based and electronic medical record management system establishes a blockchain-based medical record management system to ensure that medical record data is not tampered with and has an immutable historical record. Patient medical records and doctors' diagnostic records can be queried and updated in the electronic medical record database. The paper medical record printing system can automatically generate and print paper medical records after a patient's visit, and print drug information and diagnostic summary information through a labeling system.

[0004] Preferably, the AI ​​hospital also includes on-site treatment equipment, diagnostic equipment, monitoring equipment, support systems, and AI-assisted equipment, capable of diagnosis, treatment, monitoring, and patient management; all of the above-mentioned equipment are equipped with power supply devices, transformers, inverters, voltage regulators, circuit integrated boards, main control modules, motion control modules, communication modules, detection modules, various sensor modules, sensing modules, camera modules, computing chips; AI large model, backend server, backend server computing module, storage module, data retrieval module, communication module, command sending module, and also includes the aforementioned sharing module and consultation method.

[0005] Preferably, the AI ​​hospital is equipped with intelligent facilities in multiple building rooms, medical equipment and AI treatment, automated medical management and data transmission, and monitoring and emergency assistance equipment; The building's intelligent facilities include doors, windows, and intelligent access control and security systems. Access to hospital rooms is controlled through RFID or biometric technology. Room doors are equipped with electric door control systems and connected to the hospital's central control system. Each door can be configured with automatic opening and closing and access control management systems. High-definition cameras are installed in the rooms to monitor the ward environment in real time through a network video surveillance system. Combined with intelligent analysis algorithms, anomaly detection is achieved. The intelligent facilities in the building rooms also include automatic walking chairs and beds, driven by an electrically controlled servo motor system and stepper motors, with a battery management system ensuring power supply. An intelligent positioning system locates and navigates the chairs / beds. The bed-chair system can automatically fold from bed to chair and vice versa using electric actuators. Sensors detect movement during folding to prevent collisions and unsafe operation. The bed-chair system is equipped with an intelligent support frame made of lightweight yet sturdy materials, providing precise support and comfort through electric drive. The bed-chair system also features a built-in voice recognition system, allowing patients to interact with the AI ​​system via voice to provide symptom descriptions and information updates. Built-in microphones and speakers enable two-way communication. The equipment is numbered and located, and each device and hospital bed chair is equipped with an RFID tag or QR code. The device location, usage status, maintenance records and other information are managed through an Internet of Things system to achieve real-time tracking. The device has a built-in integrated circuit board that connects to a communication module to enable real-time data uploading and remote monitoring. The medical equipment and AI treatment include AI robot doctors and auxiliary equipment, operating rooms and AI surgical robots, diagnostic and treatment equipment, and AI-powered traditional Chinese medicine pulse diagnosis and treatment. The robot doctors and auxiliary equipment include an AI diagnostic system, blood bank and pharmacy management, and an oxygen supply device. The AI ​​diagnostic system uses a deep learning AI model to analyze patient symptoms and signs, and obtains relevant diagnostic suggestions from historical cases, literature, and big data. It analyzes patient symptom descriptions and intelligently generates diagnostic reports. The AI ​​robot doctor communicates with patients through voice interaction and automatically generates diagnostic suggestions based on collected medical record data. The blood bank and pharmacy management uses RFID technology to manage blood inventory and pharmacy medications. An automated medication dispensing system can automatically dispense medications based on electronic prescriptions, ensuring accurate delivery. The oxygen supply device integrates an oxygen concentration sensor to monitor and adjust oxygen concentration in real time. The oxygen supply device shares data with the hospital system via wireless connection. The operating room and AI surgical robot include intelligent operating room management and an AI surgeon. The intelligent operating room management manages the surgical environment through a sensor network, and the AI ​​surgical robot... The system enables precise surgical procedures and is equipped with a high-precision motion control system. The AI ​​surgeon makes surgical decisions based on real-time CT and MRI image analysis and immediate suggestions from an AI assistant. The diagnostic and treatment equipment includes a CT and MRI room, an ultrasound and color Doppler ultrasound room, a blood glucose meter, and vital sign monitoring. The CT and MRI room utilizes high-frequency sensors for image acquisition, and an AI image processing system analyzes the images, automatically marking lesion sites to reduce human error. The ultrasound and color Doppler ultrasound room integrates AI image recognition technology to automatically identify lesion areas and analyze the patient's physical data. The blood glucose meter and vital sign monitoring system monitor the patient's vital signs in real time, automatically recording blood glucose levels and sharing the data with the doctor in real time via a data upload module. The TCM pulse diagnosis and treatment system includes an AI TCM pulse diagnosis system, a meridian therapy instrument, and an electrotherapy instrument. The AI ​​TCM pulse diagnosis system simulates TCM pulse diagnosis through a sensor array and analyzes pulse changes using a machine learning model to provide TCM diagnosis. The meridian therapy instrument and electrotherapy instrument stimulate specific areas with electrical pulses, and the treatment intensity is adjusted using a sensor feedback system. The automated medical management and data transmission system includes a data acquisition and transmission system. The medical data collected by the equipment is transmitted in real time to the hospital's central database via a wireless communication protocol. Patient information, vital signs, and imaging data are analyzed using big data and AI and transmitted to a big data platform. AI models then analyze and compare these data to provide precise diagnosis and personalized treatment. Through automated feedback and command transmission, the system automatically sends commands to relevant devices based on the analysis results to initiate drug delivery, treatment, or emergency procedures. The monitoring and emergency equipment includes a ventilator, emergency equipment, an ice bed, and an ice head cover; the ventilator and emergency equipment are combined with an intelligent monitoring system to automatically start the ventilator, defibrillator, and other equipment in emergency situations, and guide medical staff to perform emergency operations through voice prompts; the ice bed and ice head cover are combined with a temperature control system for use in hot weather or emergency treatment scenarios, and control the patient's body temperature by adjusting the temperature. The aforementioned main equipment and supporting medical equipment are integrated with national approval and directly designed into AI doctors and AI intelligent devices.

[0006] Preferably, the AI ​​hospital includes departments of internal medicine, surgery, obstetrics and gynecology, pediatrics, dentistry, ophthalmology, dermatology, anesthesiology, rehabilitation, preventive healthcare, pharmacy, laboratory medicine, radiology, blood transfusion, nuclear medicine, physiotherapy, sterilization supply center, operating room, medical records room, nutrition department, as well as beds and monitoring rooms, emergency room, oxygen supply room and their equipped departments, traditional Chinese medicine department, infectious disease department, general practice department, etc., and departments equipped according to national hospital standards; the above-mentioned departments can be integrated with national approval, and the department design can be directly merged or designed into AI doctors and smart devices.

[0007] Preferably, an AI hospital includes an AI hospital monitoring and control system, the multifunctionality and automation of AI robot doctors, living and service facilities, and energy and facility guarantees. The AI ​​hospital monitoring and control system ensures the safe and standardized operation of all equipment within the AI ​​hospital and complies with national medical equipment regulations. It guarantees medical quality and the correct use of equipment through remote monitoring and real-time surveillance. The AI-powered hospital monitoring and control system includes an intelligent video surveillance system, remote operation and control. The intelligent video monitoring system is equipped with ordinary visual recognition, action standard recognition, and multi-angle and multi-form recognition. The monitoring control room is equipped with high-resolution HD cameras and uses video analysis technology to monitor whether the operations of AI robot doctors and AI nurses comply with regulations. The ordinary visual recognition is used to monitor the interaction between AI robot doctors and patients in real time and identify whether the procedures are followed. The action standard recognition, based on AI image processing technology, determines whether the AI ​​robot doctor is correctly performing diagnostic and treatment operations. The multi-angle and multi-form recognition uses multi-angle cameras to ensure comprehensive monitoring and supports technologies such as 3D posture recognition to ensure the standardization of AI robot doctor's actions. The remote operation and control system allows human doctors or nurses to view the operation of the AI ​​robot in real time through a remote medical platform and pause or adjust the robot's operation when necessary. The control system includes an instant alarm system; if the AI ​​robot does not operate according to regulations, the system automatically pushes information to human supervisors, who can directly adjust the robot's operation through the control console. The monitoring center can connect to the AI ​​robot management system, allowing human doctors to control the robot's operation and provide diagnostic and treatment corrections in abnormal situations. The AI ​​hospital monitoring and control system also includes a standardized operation and automatic correction system. Equipped with a standardized operation database, the robot doctor operates based on historical treatment data, medical literature, and clinical cases through an internal AI large-scale model system. The system's built-in standardized operation database records and compares the AI ​​robot's actual operations to ensure it follows the correct treatment process. Real-time data analysis and feedback are also provided; the AI ​​backend server collects all data during the AI ​​robot doctor's execution process, performs real-time analysis, and provides automatic correction functions through big data analysis and AI algorithms when problems are detected. The system can automatically adjust the AI ​​robot's operating mode based on error type, treatment process, and medical records to ensure the correctness of treatment. The AI ​​robot doctor boasts versatility and automation. Beyond diagnostic and treatment functions, it can perform a variety of tasks, including nursing, laboratory work, pharmacy medication management, surgery, disinfection, and general labor, enhancing the automation level of the AI ​​hospital. It also features self-disinfection and hospital environment cleaning capabilities. The AI ​​robot doctor can provide daily patient care, checking vital signs, administering medication, and monitoring patient status. It integrates an automated medication dispensing system, allowing it to automatically retrieve medications from electronic prescriptions and deliver them to patients. The AI ​​robot doctor can perform routine examinations such as ultrasound, blood glucose testing, and CT scans, and integrates a medical image acquisition system. It can assist in minimally invasive or robotic surgical procedures, performing precise cutting and suturing. Equipped with ultraviolet disinfection lamps and a spray disinfection system, it automatically disinfects wards, operating rooms, and public areas. Furthermore, its floor cleaning function automatically cleans ward floors and corridors, ensuring environmental hygiene. The AI ​​robot doctor can also integrate with other intelligent medical devices, such as tools, examination equipment, laboratory equipment, treatment equipment, rehabilitation equipment, surgical equipment, oxygen supply equipment, and other related equipment. The AI ​​robot doctor can control, monitor, and manage these devices. When integrated with surgical equipment, the AI ​​robot doctor controls surgical instruments to perform surgical cutting, suturing, and other operations, providing precise assistance. When integrated with oxygen supply equipment, the robot automatically adjusts the oxygen concentration and supplies oxygen according to the patient's needs. The living and service facilities of the AI ​​hospital should meet the living needs of patients and their companions, including intelligent facilities and environmental control, living service areas, intelligent auxiliary equipment, and energy and facility support. The intelligent facilities and environmental control system includes a temperature and humidity control system, an air purification system, and an intelligent lighting system. The temperature and humidity control system monitors and adjusts the temperature and humidity within the hospital in real time through monitoring equipment to ensure a comfortable medical environment. The intelligent air conditioning system automatically adjusts according to different areas such as wards and operating rooms. The air purification system is equipped with air filters and negative ion air purifiers to purify the air in the wards in real time and prevent cross-infection. The intelligent lighting system automatically adjusts the brightness of the lights in the room using sensors and light sensors, adjusting the brightness according to the patient's needs. The living service area includes an AI restaurant and an automated smart restaurant, a health rehabilitation area and an entertainment and leisure area, as well as supporting living facilities; the AI ​​restaurant and the automated smart restaurant include an automated ordering system and an automated food delivery system; the automated ordering system allows patients and medical staff to select meals through a touch screen or voice control; the automated food delivery system delivers meals directly to patients' wards via a robot delivery system. The health rehabilitation area and recreational area include rehabilitation exercise equipment and a recreational park space; the rehabilitation exercise equipment includes intelligent treadmills and virtual reality rehabilitation training equipment to help patients perform exercise therapy during rehabilitation; the recreational park space is equipped with an intelligent guidance system, allowing patients to walk in the hospital's green spaces or gardens and enjoy a relaxing environment. The amenities include a tea bar, a coffee bar, a convenience store, and a supermarket. The intelligent auxiliary equipment includes automatic water supply and drinking water management and intelligent seats. The automatic water supply and drinking water management system automatically detects water quality and provides clean drinking water to wards, rest areas, etc. on a regular basis through an intelligent water equipment system. The intelligent seats are equipped with wireless charging, heating and massage functions to provide a comfortable resting environment for patients and their companions. The energy and facility protection includes a voltage stabilizer, an intelligent water management system, and a fire protection system. The power supply and voltage stabilizer adopt an uninterruptible power supply system and a voltage stabilizer to ensure that all equipment in the hospital can operate normally in the event of a sudden power outage. The intelligent water management system realizes the efficient use and conservation of water resources within the hospital and monitors water pressure, water flow, etc. The fire protection system, an intelligent fire detection and alarm system, includes smoke detectors and an automatic fire extinguishing system to ensure the safety of the hospital.

[0008] Preferably, the AI ​​hospital also includes an equipment control and management center and a system control center, medical equipment and its functional integration, an AI robot doctor and intelligent equipment control, a data processing and big data analysis system, and a power supply and charging system; The equipment control and management center and system management center include a medical equipment management system and equipment self-testing and automatic repair functions. The medical equipment management system has an integrated control platform and a medical equipment allocation and coordination system. The integrated control platform uses IoT technology to connect all medical equipment to the central management platform. Each device is equipped with a smart tag for real-time tracking of device status, location, and performance data. The control platform adopts a distributed architecture, supporting simultaneous control and monitoring of multiple devices. The equipment management center exchanges data, controls, and schedules equipment through API interfaces. Through a real-time data monitoring system, the operating status of the equipment is automatically recorded, and abnormalities are detected. The system triggers an alarm to notify manual intervention. The medical equipment allocation and coordination system uses an AI scheduling system to predict equipment usage frequency and maintenance cycles through big data analysis and machine learning models, intelligently scheduling equipment usage. The equipment self-check and automatic repair functions include a self-check system and an automatic repair mechanism. The self-check system has an embedded self-check module in each device, monitoring equipment status in real time and detecting faults or non-standard operation. The device performs self-checks through the embedded control system and feeds back to the management platform. The automatic repair mechanism uses machine learning algorithms; AI can analyze the causes of equipment failures and automatically propose repair suggestions or initiate automatic repair programs based on historical data and equipment manuals. The medical equipment and its functional integration: All medical equipment, such as ventilators, blood glucose meters, X-ray machines, and CT scanners, adopt a modular design, allowing for flexible combination according to the needs of the AI ​​hospital. Each module can work independently or collaboratively as a whole. Blood glucose meters, blood pressure monitors, pulse oximeters, etc., can be integrated into the AI ​​robot doctor's arm or control console, forming a multi-functional integrated device. After merging with the above-mentioned equipment, the AI ​​robot doctor integrates the functions of these devices. The AI ​​robot doctor itself is equipped with multiple functional modules, such as detection sensors, cameras, and processing units. The AI ​​robot doctor can control and execute various medical operations as needed, such as blood glucose testing, electrocardiogram testing, and X-ray imaging. Each medical device is equipped with an adjustable and movable support frame, enabling the device to be raised, lowered, and moved left and right. The support frame is equipped with an electric drive system and a hydraulic system, allowing for free movement of the device as needed, facilitating the transfer of equipment between different areas by doctors and nurses. The support frame design ensures the stability and accuracy of the equipment during operation, maintaining a stable operating environment for precision equipment such as CT scanners and X-ray machines. The AI ​​robot doctor, controlled by intelligent devices, can perform multiple tasks. It not only performs routine diagnostic functions but can also act as a nurse, pharmacist, and laboratory technician. Through modular design, the robot can switch between different functional modules as needed. When a patient requires blood glucose testing, the robot activates its built-in blood glucose meter module to take a measurement and synchronizes the data with the doctor's AI system in real time. The AI ​​robot doctor can also collaborate with other devices such as ventilators, drug management systems, and surgical robots to ensure the efficient execution of medical tasks. The AI ​​robot doctor can walk and perform tasks freely. It possesses independent walking capabilities, using built-in LiDAR, cameras, and sensors to perceive its environment in real time, enabling obstacle avoidance and autonomous navigation. The robot doctor's joints are motor-controlled, allowing for precise adjustment of movements and complex operations such as medical examinations, injections, and nursing care. Each joint is equipped with a force feedback system to ensure accurate and safe movements. The AI ​​robot doctor is equipped with multiple high-definition cameras for visual recognition, dynamically adjusting based on patient symptoms and feedback. It also integrates speech recognition and synthesis technology, enabling natural language communication with patients. Languages ​​include Chinese, English, and various languages ​​from around the world, as well as local dialects and minority languages ​​such as Minnan and Cantonese. The AI ​​robot doctor has a built-in high-performance AI chip for local computation and real-time decision-making. This chip processes information from speech, vision, and sensor data, and reacts based on the analysis results. The data processing and big data analysis system includes data storage and processing, image processing and verification, and equipment control and automatic feedback. Data storage and processing include equipment data storage and cloud computing, and big data analysis and optimization. In the equipment data storage and cloud computing, data from all medical devices, such as temperature, blood pressure, and blood sugar, are transmitted in real-time to the central database via sensors. Data can be stored locally or in the cloud, and distributed storage technology ensures efficient and secure data management. The data storage system uses an AI database management system to classify and store different types of medical data, including case records, test results, and image data. Based on the frequency and importance of data usage, the AI ​​database management system can divide data into multiple levels for storage, including hot data, cold data, and archived data, and includes data encryption and privacy protection. In the big data analysis and optimization, AI algorithms and big data models analyze historical case data to help doctors predict diseases, optimize treatment plans, and allocate medical resources. The AI ​​system automatically optimizes the treatment process and equipment scheduling based on historical data to improve diagnostic and treatment efficiency. Machine learning algorithms are used for in-depth analysis of medical data, including disease diagnosis, risk assessment, and drug response, to form personalized medical plans. The image processing and verification process uses deep learning algorithms to analyze medical images, automatically identify lesion areas in X-ray and CT scan images, and verify them against the doctor's diagnosis. The image recognition results are then displayed to the doctor through the image verification system to help the doctor make an accurate diagnosis. The equipment control and automation feedback system is equipped with a real-time control system and feedback and optimization mechanisms. Each device in the real-time control system is equipped with an electronic control system, PCB circuit board, electronic components, chips, communication modules, and embedded microcontrollers, connected to the central management system's backend server to achieve automatic adjustment and remote control. When equipment malfunctions, the system automatically adjusts and sends commands for equipment repair or adjustment via remote control. The backend management system is responsible for the scheduling of AI hospital resources, equipment monitoring, and patient information management, including an AI hospital platform, an equipment monitoring platform, and equipment fault diagnosis and prediction. The AI ​​hospital platform provides user role management and permission allocation functions, supporting access control for administrators, doctors, nurses, and patients. The equipment monitoring platform uses IoT technology to monitor equipment status in real time, including on / off status, battery level, and operational health. The system issues alarms based on equipment status to remind maintenance personnel to inspect or repair. The equipment fault diagnosis and prediction system combines artificial intelligence and machine learning algorithms to analyze historical data and predict potential equipment failure risks, and implements automated maintenance plans. The power supply and charging system is equipped with automatic charging modules for all equipment and robots, allowing them to charge automatically via wireless charging or plug-in charging. The battery management system ensures that the batteries of the equipment are in optimal condition, preventing work interruptions due to insufficient power. The hospital's power system is equipped with voltage stabilizers and uninterruptible power supplies to ensure that the equipment continues to operate in the event of power fluctuations or power outages.

[0009] Preferably, the AI ​​robot doctor is equipped with a support frame, a robotic arm, and autonomous navigation. The AI ​​robot doctor can be integrated with medical equipment and is equipped with a control system and a self-testing system. The AI ​​robot doctor's support frame is equipped with a motor and hydraulic system to support its stable movement. The AI ​​robot doctor is equipped with replaceable robotic arms, each with multiple joint drives, enabling precise grasping, cutting, and suturing tasks. The robotic arms support multiple modular accessories, including scalpels, laser scalpels, and suction devices. The AI ​​robot doctor has built-in LiDAR and visual sensors, combined with simultaneous localization and mapping (SLAM) technology, allowing it to move freely and avoid obstacles within the hospital. The AI ​​robot doctor can be integrated with medical devices. The AI ​​doctor robot can be equipped with different medical device modules, such as blood glucose meters, electrocardiographs, and microscopes, to perform various diagnostic and treatment tasks. The robot can adapt to different medical scenarios by automatically recognizing the device status and automatically adjusting the device parameters. The medical devices are connected through wireless communication or hard access interfaces for data interaction and control. Data is exchanged with the AI ​​doctor robot through IoT protocols to ensure that the robot can control and operate these devices. The AI ​​robotic surgeon can be integrated with surgical equipment. Equipped with a high-precision microscope and integrated surgical instruments, it can perform delicate surgical procedures, including ophthalmic and neurosurgical surgeries. The microscope features a built-in autofocus system and image enhancement technology to ensure high resolution and real-time imaging. It is also equipped with high-frequency electrocautery, electroscalpels, and electrocautery devices, which are precisely operated through a robotic control system with intelligent adjustment functions to ensure stability and safety during operation. Furthermore, it is equipped with a pathology slicer and an ultra-high-frequency electrosurgical unit. The pathology slicer can be operated by the AI ​​robotic surgeon's arm to perform precise pathology sectioning tasks, cutting samples to a specified thickness and preparing them for pathological analysis. The ultra-high-frequency electrosurgical unit, controlled by the robot, precisely performs surgeries such as tumor resection and tissue coagulation by controlling the frequency and energy output of the electromagnetic waves. The AI ​​robot doctor can be integrated with diagnostic equipment, including an illumination imaging and imaging system and a blood glucose monitoring and vital sign detection system. The illumination imaging and imaging system incorporates a high-resolution lighting system to capture clear images, making it particularly suitable for endoscopic examinations and examinations of skin lesions. Combined with an AI image analysis system, it can assist doctors in diagnosis. The blood glucose monitoring and vital sign detection system includes a built-in blood glucose meter, blood pressure monitor, and pulse meter, enabling real-time monitoring of the patient's blood glucose, blood pressure, pulse, and other data, which is then uploaded to the hospital's medical cloud platform. Through sensor fusion, the robot can simultaneously measure multiple vital signs, automatically generate reports, and provide a preliminary diagnosis. The AI ​​robot doctor can be integrated with imaging diagnostic and examination equipment, including X-ray and CT scans, and MRI and cancer cell detection. For X-ray and CT scans, the robot can control the X-ray machine and CT scanner to perform imaging, automatically adjusting imaging parameters to obtain optimal images. AI image recognition can be used, and the scan results are analyzed through AI algorithms to automatically mark possible abnormal areas and generate diagnostic reports. For MRI and cancer cell detection, the MRI is operated by the AI ​​robot doctor, combining high-field magnets and advanced scanning technology for detailed examinations of tumors, the nervous system, etc. It is also equipped with a cancer cell detector; through high-precision biosensors, the AI ​​robot doctor can identify cancer cells in the blood and perform rapid analysis and diagnosis. The AI ​​robot doctor can be integrated with automated laboratory equipment, including automated blood collection and testing machines, and automated bone analyzers and pulse oximeters. The automated blood collection and testing machines allow the AI ​​robot doctor to automatically collect and analyze blood samples, which are then automatically sent to the laboratory for further testing. The automated blood testing equipment can analyze multiple indicators such as complete blood count, blood glucose, and blood lipids; the robot can control the testing equipment and process the results. The automated bone analyzer and pulse oximeter allow the AI ​​robot doctor to operate a bone density analyzer for rapid and accurate bone health checks, identifying issues such as fractures and osteoporosis. The pulse oximeter collects data through sensors, and the AI ​​robot doctor monitors and analyzes the patient's pulse in real time to predict cardiovascular health problems. The AI ​​robot doctor can be integrated with cardiac imaging and advanced diagnostic and treatment equipment, including cardiac imaging equipment and electroencephalography (EEG) equipment. With the cardiac imaging equipment, the AI ​​robot doctor can operate the equipment, providing doctors with a three-dimensional model of the heart to assist in the accurate diagnosis and treatment of coronary artery and heart valve problems. With the EEG equipment, the AI ​​robot doctor can be equipped with an EEG device to monitor the patient's brain activity in real time and diagnose neurological diseases such as epilepsy and insomnia. The AI ​​algorithm combines EEG data to automatically analyze and generate reports. The AI ​​robot doctor is equipped with a control system and a self-diagnostic system. The embedded operating system controls its movements, equipment scheduling, image analysis, and other functions. The operating system integrates adaptive control algorithms to ensure that the robot can accurately perform tasks in a changing medical environment. Through a cloud-based remote control platform or local AI control, doctors can dispatch the robot to perform different medical tasks in real time, such as surgery, examinations, or nursing care. The AI ​​robot doctor has an embedded self-diagnostic module that regularly checks its hardware status, software operation, and equipment access status. Whenever a fault or potential problem is detected, the system will automatically report and issue a maintenance command. Each medical device can be automatically calibrated through the AI ​​system to ensure that the device is always in optimal working condition.

[0010] Preferably, the AI ​​hospital also involves a fully automated process from automatic collection, analysis, treatment, prescription writing to subsequent long-term health management of patient information, including information collection, intelligent diagnosis, prescription generation and drug retrieval, and long-term health data management. The information collection utilizes an automated chair for automatic data entry. Upon entering the AI ​​hospital, patients or individuals registered using the AI-equipped automated chair, which features a touchscreen display and a facial recognition camera. The camera scans the patient's face, automatically identifying them using facial recognition technology. Patients input personal information on the display screen, such as name, gender, height, weight, blood type, age, ID number, and contact information, or interact with the AI ​​system via voice input. This information is automatically stored in a cloud database for future diagnosis and treatment. Patients can provide family information, such as names, contact information, and relationships, which is then linked and stored by the AI ​​system to ensure the completeness and accuracy of medical information. Once the information is entered, the AI ​​database stores the patient's complete information and generates an electronic health record. During subsequent visits, the AI ​​system automatically identifies the patient through facial recognition and identity information matching, avoiding duplicate data entry. The system automatically records changes in the patient's health and disease progression based on big data analysis, updating the records with each visit to maintain their current status. As the patient ages, the AI ​​model automatically updates the patient's information. Each time the patient enters the hospital, the AI ​​system will optimize the treatment plan by updating information such as age, weight, and health status. The intelligent diagnosis involves the AI ​​system collecting the patient's health data, such as gait recognition, facial expression, and movement, and analyzing the patient's physical condition using computer vision and deep learning models. Combined with historical medical data, the AI ​​system provides preliminary diagnostic suggestions to help doctors determine the condition. A big data model comprehensively analyzes the patient's physiological data, such as body temperature, blood pressure, and heart rate, as well as lifestyle habits, and combines this with data from a cloud computing platform to derive the symptoms, onset time, possible causes, and disease progression. Based on the patient's data, the AI ​​system predicts the disease's progression and generates medication recommendations. Simultaneously, based on the patient's historical medication records and big data analysis, it predicts the patient's recovery time, required costs, dietary therapy methods, and provides personalized treatment plans. Cell analysis and DNA sequencing are also used to prescribe medications. The prescription generation and drug retrieval process involves an AI-powered robotic doctor automatically generating an electronic prescription based on the diagnosis and condition analysis. The prescription includes detailed information such as drug name, dosage, usage, and course of treatment. The AI-powered robotic doctor also incorporates the patient's historical data, such as allergy records and drug interactions, for drug screening, and performs cell and DNA sequence analysis to ensure the safety and effectiveness of the prescribed medication. After confirming the prescription, the patient can complete payment via electronic payment systems such as Alipay, WeChat Pay, or bank card. Once payment is complete, the medication will be delivered to the patient through an intelligent drug delivery system. The system automatically generates a billing statement, including treatment fees, medication costs, and rehabilitation fees, which the patient can view in detail on the hospital platform. The AI ​​hospital is equipped with an automated drug distribution system. The AI-powered robotic doctor or intelligent devices automatically retrieve the corresponding medication from the pharmacy according to the prescription instructions and deliver it to the patient via an automated delivery system, such as an automated conveyor belt or robotic drug delivery system. This drug delivery system uses RFID tags and QR code technology to ensure the accuracy and safety of the medication. Drug information, such as batch number and expiration date, is automatically linked to the patient's prescription to ensure medication accuracy. The long-term health data management system automatically extracts historical records and updates patients' health files each time they enter the AI ​​hospital, ensuring the timeliness and accuracy of the data. All patient information, medical reports, treatment records, examination results, electronic prescriptions, etc., are stored in a cloud database or distributed storage system, ensuring data reliability, persistence, and accessibility. All patients' personal information and health data are encrypted to ensure data security. During transmission, encryption protocols are used to ensure data privacy. Patients can set personal passwords and access their health data through dual authentication or biometric authentication (such as facial recognition or fingerprint recognition). Patients can also authorize third parties, such as family members or designated medical experts, to view their data. The AI ​​robot doctor will automatically generate electronic medical reports and electronic prescriptions based on the patient's health data. These reports can be viewed through the patient health management platform, and patients can access, download, or print their personal health reports at any time. Patients can authorize family members or other medical professionals to view their health reports, ensuring information sharing and collaborative treatment. Through secure access control, patients can choose which third parties are allowed to access their health data.

[0011] Preferably, the AI ​​hospital includes an AI pharmacy equipped with drug racks and drug separation devices. The drug racks are designed with a multi-layer structure, and each layer can be classified and stored according to the drug category, such as prescription drugs, over-the-counter drugs, and emergency drugs. Each rack has a unique location code for accurate drug positioning. The drug racks can be designed as fixed racks or mobile racks according to the actual needs of the hospital. The location number, category label, and drug type of each drug are identified using RFID tags, QR code scanning, and other technologies to ensure accurate drug positioning and prevent confusion. The drug separation device uses an automatic separation device on the drug racks to ensure that different categories or different drugs will not be confused or cross-contaminated. An electric lifting platform or conveyor belt can be used to accurately separate drugs according to category, brand, and number. The AI ​​pharmacy is equipped with an AI robot dispensing and management system and a drug storage, retrieval, and verification monitoring system. The AI ​​robot dispensing and management system uses a robotic arm to automatically dispense drugs. The AI ​​robot uses a visual recognition system to identify the type, number, and location of the drugs, and then uses the robotic arm to accurately grasp the designated drugs. The robotic arm has a control system and is driven by a motor to perform precise grasping actions, ensuring that the drugs are not damaged. The robotic arm can rotate, move up and down, and move forward, backward, left, and right within a 0-360 degree range to ensure smooth drug grasping and placement. The AI ​​robot is equipped with drug recognition; through cameras mounted on the robotic arm, the system uses image recognition algorithms to identify drugs. These cameras synchronize with a drug database to update the storage location and inventory of drugs in real time. The drug storage, retrieval, and verification monitoring system uses high-definition cameras installed on the drug shelves to monitor the quantity and status of drugs in real time. These cameras are not only used for verifying drug storage and retrieval but also to ensure that drugs are stored and retrieved according to standardized procedures. The camera records the quantity of medicines stored and taken out in real time, and compares the data with the back-end database through data analysis to ensure the accuracy of medicine inventory; The AI ​​pharmacy also features an intelligent drug management system, a drug database, a drug delivery system, and a drug verification system. The intelligent drug management system is equipped with an intelligent drug management platform that uses an AI-powered large-scale model database to manage drug storage, classification, usage, and expiration reminders. All drug information, such as drug name, category, manufacturer, and storage location, is synchronized to the database system in real time. When drug inventory changes, the AI ​​system automatically reminds pharmacy staff to replenish or update drugs to prevent shortages or expiration. The drug management platform is connected to a cloud computing platform to ensure efficient data storage and real-time updates. The drug database can be integrated with the AI ​​large-scale model. Built upon a large AI model database, the intelligent drug management system provides detailed data on drugs, such as instructions for use, indications, and pharmacological effects. Information on each drug can be intelligently matched with patient health data and clinical treatment plans, providing doctors with accurate medication recommendations. Through sensors, cameras, and recognition devices on drug shelves, drug information is transmitted to the AI ​​model database in real time, updating information such as storage location and usage status to ensure efficient drug management. Drugs are delivered from the pharmacy to the patient's department or ward via an automated drug delivery system, ensuring accurate delivery. The drug verification system has a built-in verification mechanism, including drug quantity verification and drug type verification. All drug storage and retrieval data are compared with the drug list to ensure the accuracy of drug inventory and types. The AI ​​pharmacy's medicine placement rack also includes an intelligent placement rack. The intelligent placement rack has a multi-layered structure, with automatically moving tracks installed on top of or around each layer. These tracks enable automatic movement up, down, left, right, and forward / backward. Robotic arms that grasp or place medicines are mounted on the tracks. These robotic arms can move independently or follow the tracks. Each robotic arm is equipped with a camera and a system-controlled power mechanism. Specifically designed for grasping and placing medicines, the robotic arm features a multi-joint design, including one or more joints capable of lifting, lowering, flattening, and rotating 0-360 degrees. The robotic arm is equipped with multiple cameras, a visual recognition system, an intelligent feedback system, communication receivers, integrated circuitry, and chips. Using the intelligent feedback system, combined with the cameras and recognition devices, the robotic arm ensures that medicines are grasped and placed correctly according to the prescription.

[0012] Preferably, the AI ​​pharmacy is a closed or isolated space equipped with a door and ventilation system. The entrance to the AI ​​pharmacy uses an automatic electronic lock or mechanical lock to ensure that only authorized personnel and AI robots with access obtained through an identity verification system can enter, thus ensuring the pharmacy's security. Within the AI ​​pharmacy, medicines are categorized and stored according to type, brand, dosage, etc., with each medicine having a unique number. An intelligent identification system ensures that medicines are not mixed up. The AI ​​robot then automatically retrieves or moves the medicines. Before delivery, the system uses a multi-check mechanism to ensure the consistency between the medicine and the prescription. After the medicine is retrieved, at least one set of devices terminates the process. The terminal works in conjunction with the system to verify the captured medications and patients. The system automatically compares the medication name, quantity, dosage, etc., with the prescription information to ensure that the medication meets the prescription requirements. Once all verifications are accurate and pass the review, the medication is delivered to the patient. If the medication does not match the prescription, the system will immediately notify the AI ​​robot to stop medication dispensing and send an alert to the cloud management system. Human administrators can intervene through the console. The system will pause medication dispensing, and human administrators can manually verify the medication through image recognition or physical inspection to ensure accuracy. After successful verification, human administrators will deliver the medication to the patient through authorized operations. The AI ​​pharmacy also collaborates with multiple departments to manage prescriptions, including those from various departments of traditional Chinese medicine and Western medicine, as well as prescriptions issued by AI doctors. AI doctors generate personalized prescriptions based on patients' diagnostic data, symptom descriptions, examination results, and historical medical records. During the AI ​​prescription generation process, the system combines patients' physiological data, allergy history, and other information to calculate and verify the prescription, ensuring that the medication is prescribed according to the patient's condition. All patients are managed by dedicated AI doctors to ensure the safety of the medications.

[0013] Preferably, the AI ​​hospital integrates a human management and scheduling system with an AI robot control system. The entire AI hospital system combines automated operation with human intervention to ensure timely intervention in any unpredictable situation and to ensure the smooth operation of the AI ​​hospital. It includes a human management and scheduling room, a human scheduling and management system, an AI robot and equipment monitoring system, robot behavior monitoring and standardization, a human intervention and substitution mechanism, multiple control and security measures for the AI ​​hospital, and a global monitoring platform. The human management and scheduling room is equipped with a large-screen display system that displays the real-time working status of AI robots, the operating status of medical equipment, patient progress, and other information. The tasks of each department, the working status of AI doctors / nurses, drug inventory, medical equipment status, and treatment progress are all displayed in the information system of the scheduling room. The dispatcher can view the task execution status of all AI robots through the interface, including whether there are any faults, deviations from tasks, system alarms, etc. The dispatcher can receive alarms from the AI ​​robot and equipment management system in real time through the interface. Once a fault is found in an AI robot or medical equipment or it does not conform to the operating procedures, the dispatcher will immediately intervene manually. The manual dispatch and management system intelligently allocates tasks to the AI ​​robot based on actual needs. The system can automatically adjust task priorities based on factors such as emergency needs, departmental requirements, and doctor schedules. Manual dispatchers can also manually adjust tasks to ensure that critical tasks are prioritized. In case of unexpected or abnormal situations, the system will issue an alarm through the automatic warning system. Manual dispatchers can immediately view the alarm information and intervene. Dispatchers can control the AI ​​robot to pause its work or switch to manual operation mode through the interface to ensure that the medical process is not disturbed. The AI ​​robot and equipment monitoring system is equipped with an AI robot monitoring system and an automatic and manual control system. The AI ​​robot monitoring system monitors the work process of AI robot doctors, AI nurses, etc., through technologies such as cameras, sensors, and real-time data acquisition. The system can analyze the robot's work trajectory and whether its actions meet the standards in real time, and promptly detect and report abnormalities. The monitoring system collects data on robot behavior and analyzes it in combination with machine learning algorithms to ensure that the robot's behavior meets predetermined standards. The robot system can perform tasks in automatic mode, but once the monitoring system detects non-standard behavior, it will automatically switch to manual control mode and send an alarm to the manual dispatch management system. The robot behavior monitoring and standardization system equips each AI robot with multiple visual sensors, motion sensors, and environmental sensors to monitor its behavior in real time to ensure it conforms to the prescribed operating procedures. The monitoring system automatically compares the robot's behavior against preset standards to ensure accurate operation. The human intervention and substitution mechanism automatically pauses the robot's operation and transfers it to human control or another robot when the robot malfunctions or operates improperly. During this process, a human dispatcher can take over the robot's task through the remote control system to ensure uninterrupted medical services. The AI ​​hospital's multi-layered control and security system includes a separate control system and a multi-level security control system. The separate control system, comprising the AI ​​robot control system and the manual management and scheduling system, are two independent systems to ensure no interference between them. The AI ​​robot control system is primarily responsible for robot operation monitoring and task allocation, while the manual management and scheduling system is responsible for overall scheduling, resource allocation, alarms, and intervention. The multi-level security control system includes multi-level access control to ensure that only authorized personnel can perform important operations and interventions. The permissions of dispatchers, doctors, and administrators are controlled through an identity verification system to ensure the security and compliance of operations. The global monitoring platform will transmit information from all AI robots, equipment, surveillance cameras, sensors, etc., to the human management and dispatch room in real time through a large screen display system or mobile device platform. Dispatchers can view the equipment status, robot working status, patient progress, etc. in all departments through the platform and make manual interventions or resource allocations.

[0014] Preferably, the charging items and business methods 1. Definition of Fee Items A. Registration fee: When patients register at the AI ​​hospital, they need to pay a registration fee, which usually includes the cost of system registration, patient information collection, and initial consultation with the AI ​​doctor. This fee can be a fixed amount or vary depending on the department and the doctor's level of expertise. B. Diagnosis fee: The fee charged by the AI ​​robot doctor when providing diagnosis to patients. This includes intelligent diagnosis through AI models and machine learning analysis of patient symptoms, medical history and examination data. C. Testing / Examination Fees: Fees will be charged for any laboratory tests performed, such as blood tests, imaging examinations, ultrasound, CT, MRI, etc. D. Treatment / Surgery Fees, including the costs required for AI robot-assisted treatment or surgery, depending on the specific type of treatment and the complexity of the surgery; E. Bed fee: If the patient needs to be hospitalized, the bed fee will be charged according to the type of ward and the number of days of hospitalization. F. Medication costs: Patients pay for medications after obtaining a prescription through the AI ​​system. This includes the cost of purchasing and delivering the medications. G. Medical records and health system management fees, including fees for services such as patient health management, electronic medical records, and long-term health tracking; H. Membership and regular health management fees: If patients choose the AI ​​hospital's membership service, they will be charged an annual or quarterly membership fee to enjoy regular health check-ups and continuous health management services. I. Hospital meal expenses: The cost of meals required by the patient during hospitalization, charged according to the type of meal and the number of meals.

[0015] 2. AI Hospital Payment Process and Methods A. Membership Fees: After a patient chooses to join the hospital's membership system, the AI ​​hospital system will generate a membership account for the patient. The account stores the fees for regular payments. Members can pay their regular health management fees in advance. Membership fees can be paid via bank transfer, credit card, or online payment platforms such as WeChat and Alipay, and automatic deductions can be set up. B. Social Security Card Payment: Patients can use their social security card to pay for part of their medical expenses, especially for medical services covered by the government or social security system, such as routine examinations and some medications; C. Patient bank card payment: Patients and their families can make payments via bank card, covering registration fees, diagnosis fees, treatment fees, etc. D. Third-party payment platforms: Patients and their families can settle payments through third-party payment platforms such as WeChat and Alipay, which support fast payment and electronic invoice generation; 3. Business and Profit Model A. Service fees: Profits are generated through various fee items such as registration fees, diagnosis fees, treatment fees, medication fees, and hospitalization fees. B. Membership revenue: The hospital collects membership fees through services such as health management, regular check-ups, and exclusive services to ensure a stable long-term income. C. Data and analytics services: By aggregating health data and using an AI analytics platform, we provide these services to medical research institutions, pharmaceutical companies, and other businesses, thereby generating additional revenue streams. D. Online medical services: Expand remote medical services and allow patients to make appointments for medical treatment and purchase medicines through APP, website and other channels to attract more patients to participate; E. Cross-regional cooperation: Collaborate with other medical institutions, insurance companies, and enterprises to provide cooperative medical services and increase the hospital's market share.

[0016] Compared with the prior art, the beneficial effects of the present invention are as follows: 1. Improve medical efficiency and accuracy: Through the intelligent diagnosis and automated operation of AI robot doctors, human error is reduced, the efficiency and accuracy of the diagnosis and treatment process are improved, and the precise execution of processes such as drug dispensing and prescription writing is ensured; 2. Intelligent end-to-end management: This invention realizes intelligent management of the entire process from patient information collection, diagnosis and treatment, drug retrieval to payment settlement. The AI ​​hospital system can automatically generate treatment plans and prescriptions based on the patient's health data, historical medical records and real-time examination results, thereby improving the accuracy and personalization of medical services. 3. Automated drug grabbing and delivery: By combining AI pharmacy with robotics technology, the grabbing, verification and delivery of drugs are completed automatically, avoiding errors in manual operation, improving the efficiency and accuracy of drug management, and reducing the risk of drug misdelivery; 4. Business Model Innovation: This invention not only provides AI-based intelligent medical services, but also combines multiple payment methods such as membership system, social security card payment, bank card payment, and third-party payment platform to achieve a reasonable charging and revenue model, promoting the sustainability and commercial development of hospital operations; 5. Intelligent data analysis and decision support: Through big data analysis and cloud computing platforms, this invention can analyze patients' health data and treatment effects in real time, provide accurate health management and treatment suggestions, and improve the hospital's management efficiency and decision-making quality; 6. Enhance patient experience: AI robot doctors can provide fast and accurate diagnosis and treatment services, and reduce patients' waiting time and medical stress through automated drug grabbing and delivery, thereby improving the patient's medical experience; 7. Reduce the risk of medical accidents: The system ensures that every prescription and every treatment complies with regulations through automatic review, drug management and monitoring, reducing the possibility of medical errors and accidents and protecting patient safety. Attached Figure Description

[0017] The accompanying drawings, which form part of this specification, illustrate embodiments of this application and, together with the description, serve to explain the principles of this application.

[0018] This application can be more clearly understood with reference to the accompanying drawings and the following detailed description, wherein: Figure 1 This is a system flow diagram of the operation method and business model of an AI hospital, AI diagnosis, prescription, and drug dispensing proposed in this application. Detailed Implementation

[0019] Various exemplary embodiments of the present application will now be described in detail with reference to the accompanying drawings. It should be noted that, unless otherwise specifically stated, the relative arrangement, numerical expressions, and values ​​of the components and steps set forth in these embodiments do not limit the scope of the present application.

[0020] At the same time, it should be understood that, for ease of description, the dimensions of the various parts shown in the accompanying drawings are not drawn according to actual scale.

[0021] The following description of at least one exemplary embodiment is merely illustrative and is not intended to limit the scope of this application or its application or use.

[0022] Techniques, methods, and equipment known to those skilled in the art may not be discussed in detail, but where appropriate, such techniques, methods, and equipment should be considered part of the specification.

[0023] It should be noted that similar labels and letters in the following figures indicate similar items; therefore, once an item is defined in one figure, it does not need to be discussed further in subsequent figures.

[0024] Furthermore, the technical solutions of the various embodiments of this application can be combined with each other, but only if they are based on the ability of those skilled in the art to implement them. When the combination of technical solutions is contradictory or cannot be implemented, it should be considered that such combination of technical solutions does not exist and is not within the scope of protection claimed by this application.

[0025] It should be noted that all directional indications (such as up, down, left, right, front, back, etc.) in the embodiments of this application are only used to explain the relative positional relationship and movement of each component in a certain specific posture (as shown in the figure). If the specific posture changes, the directional indication will also change accordingly.

[0026] The following is combined Figure 1 This application describes an operational method and business model for conducting an AI hospital and AI diagnosis, prescription, and dispensing of medicine according to exemplary embodiments of the present application. It should be noted that the following application scenarios are only shown to facilitate understanding of the spirit and principles of the present application, and the embodiments of the present application are not limited in any way in this respect; on the contrary, the embodiments of the present application can be applied to any applicable scenario. This embodiment provides an AI hospital and its operation method and business model for AI diagnosis, prescription, and dispensing. The AI ​​hospital provides efficient and accurate medical services through comprehensive intelligent facilities and systems. The AI ​​hospital has conventional infrastructure, such as wards, examination rooms, and operating rooms, and all equipment and resources can be allocated and optimized through an intelligent management system. All workflows of the hospital can be monitored and managed through the intelligent system, improving the hospital's operational efficiency. By integrating AI systems, speech recognition and natural language processing, machine learning and deep learning technologies, AI robots can perform accurate diagnoses, prescribe medications, and engage in natural dialogue with patients. The AI ​​hospital is equipped with modern testing and laboratory equipment, capable of performing various examinations (such as blood and urine analysis, imaging examinations, etc.) and combining the test results with the AI ​​system for data analysis and automatic diagnosis. All patient medical records (including historical medical records, physical examination results, medication prescriptions, rehabilitation cases, etc.) are collected and stored in the hospital's system in real time, forming electronic health records. Through cloud storage and database management, medical record data can be accessed and updated at any time. The AI ​​system can intelligently index and retrieve case data, helping doctors quickly obtain information such as patients' historical medical records, treatment records, and medication use, thereby providing more accurate diagnoses and treatments. The AI ​​hospital has a dedicated human management and monitoring room responsible for real-time monitoring of the entire hospital's operation, including the working status of AI robots and equipment operation. If problems occur, human staff can intervene promptly and take action to ensure the smooth operation of the hospital. The robot doctor issues electronic prescriptions based on the patient's diagnosis and symptoms. The system uses a rules engine to ensure the accuracy of the prescriptions. Medications are automatically retrieved according to the prescription, and can also be automatically picked up by the robot through a medication retrieval system. An AI robot uses an automated system to retrieve the medication from the pharmacy, place it in a container or package it, and finally deliver it to the patient or their family, ensuring accurate medication distribution. After the patient confirms the prescription and treatment plan, the AI ​​hospital settles the payment through a payment confirmation system. The patient confirms payment with an electronic signature and chooses a suitable payment method (such as social security card, bank card, Alipay, WeChat, etc.). Following the medication delivery and payment instructions, the system automatically triggers medication retrieval, packaging, and delivery instructions, and the medication is delivered by the robot to the patient or their designated location. All patient medical records are not only stored in an electronic database but can also be generated as needed for patient preservation. Blockchain technology ensures the immutability of medical data and the integrity of historical records. After the patient's visit, the AI ​​hospital system automatically generates and prints a paper medical record, providing the patient with medication information and a diagnostic summary. AI-powered hospital management integrates various hospital management functions, including patient information management, doctor scheduling, equipment management, and billing, ensuring the orderly operation of the hospital's daily operations. The system intelligently manages the entire process from registration, diagnosis, examination to treatment, ensuring efficient and accurate medical procedures. Upon patient entry, the system automatically allocates registration and queuing based on appointment status and real-time conditions, reducing patient waiting time and optimizing resource allocation. Through this system, patients can schedule appointments for treatment or surgery in advance, and the scheduling of doctors and equipment can be intelligently arranged to avoid conflicts and resource waste. The system intelligently manages hospital resources such as equipment, beds, and medical personnel, ensuring optimal resource allocation and improving hospital operational efficiency. IoT devices connect various hospital devices (such as beds, testing equipment, and laboratory equipment) to the hospital management system via sensors and network protocols, forming an interconnected intelligent network. Through IoT devices, the hospital can monitor patients' vital signs (such as body temperature, blood pressure, and heart rate) in real time and transmit the data to the central management system, ensuring timely tracking and processing of patient conditions. It is understood that the aforementioned AI robot doctor includes an AI system, a speech recognition and natural language processing system, and machine learning and deep learning capabilities to achieve efficient and intelligent medical services. The AI ​​system is the core component of the AI ​​robot doctor. By integrating various intelligent technologies, the robot can simulate the work of a human doctor, including diagnosis, symptom analysis, and prescription writing. The AI ​​robot doctor can convert patients' spoken information into text in real time through speech recognition technology, supporting voice dialogue with patients. Utilizing natural language processing technology, the robot can understand patients' language expressions, perform disease analysis and dialogue generation, and further extract patients' symptoms, emotions, and needs. This enables the AI ​​robot to conduct more natural communication and efficient disease analysis. By learning from a large amount of historical cases and patient information, the AI ​​robot doctor can use deep neural networks for symptom matching and prediction. For example, when a patient describes symptoms, the AI ​​robot doctor can predict possible diseases based on historical data and provide preliminary diagnostic suggestions. Combined with the AI ​​robot doctor's learning algorithm, the AI ​​robot doctor can make more accurate predictions and diagnostic recommendations based on patients' symptoms and signs. As the AI ​​robot doctor acquires more patient data, its predictive ability will continue to optimize, providing more personalized medical services. The aforementioned case data collection and storage system integrates patients' historical medical records, physical examination results, and laboratory data to establish a comprehensive electronic health record, and uses advanced human feature algorithm technology to achieve personalized diagnosis and prediction. All patients' medical information (such as historical medical records, physical examination reports, and laboratory results) will be collected and stored in the hospital's system. This data can be structured data (such as standardized diagnostic results and laboratory values) or unstructured data (such as doctors' written diagnoses and image data). Data storage utilizes cloud storage and databases to ensure data security, accessibility, and scalability. Cloud storage ensures data can be updated and backed up in real time, while the database helps with efficient data management and retrieval. Human feature algorithm technology, through analysis... By analyzing patients' physical characteristics (such as age, gender, and genes), the system can extract key features from patients' health data. These features can help AI models make personalized diagnoses and predictions. Combining feature extraction technology with machine learning algorithms (such as decision trees and random forests), the system can analyze and predict patients' health status by training models. For example, the system can predict disease risk or personalized treatment plans based on patients' historical health data and current symptoms. Using machine learning models, the system can provide diagnostic predictions tailored to patients' characteristics. This means that each patient's diagnosis, treatment plan, and health management plan can be customized according to their specific characteristics (such as genetic information, lifestyle habits, and medical history), rather than based on a traditional one-size-fits-all approach. The aforementioned electronic prescription and drug retrieval system integrates multiple technologies to achieve automated and intelligent prescription generation and drug retrieval processes. Based on the patient's symptoms, signs, and a medical knowledge base, the system uses a rule engine to generate standardized electronic prescriptions. This rule engine combines medical rules (such as drug indications, dosages, and usage) with the patient's individual circumstances to automatically generate prescriptions that comply with medical standards. The medical knowledge base contains a wealth of medical information, such as diseases, drugs, and treatment plans. The rule engine determines the most suitable drug or treatment method by searching and matching the patient's symptoms, signs, and data in the medical knowledge base. Natural language generation technology transforms the diagnostic results of robots or AI systems into doctor-readable prescription information, converting clinical diagnostic data and symptom analysis results into natural language text, ensuring that doctors can easily understand and prescribe medications based on this information. The aforementioned drug grasping and automation system is a highly intelligent system that utilizes robotics, computer vision, drug recognition technology, and automated delivery systems to achieve automated grasping, handling, packaging, and precise delivery of drugs. The robotic drug grasping system automatically grasps drugs using robots that employ computer vision and drug recognition technologies to automatically identify the type, label, and location of the drugs before grasping them. The robots are equipped with a high-precision vision recognition system capable of accurately scanning barcodes or QR codes on drugs to determine their type and quantity. After the robot grasps the drugs, it coordinates with an automated material handling system (such as…) Automated conveyor belts, robotic arms, etc., automatically handle and package medicines, ensuring that medicines are accurately and efficiently transported to designated locations, avoiding errors and delays caused by manual operation; automated medicine delivery systems use robots for delivery, picking up medicines and delivering them via electric trolleys or automated guided vehicles, ensuring that medicines are transported from the pharmacy to patients or medical staff. The robots can automatically plan paths, avoid obstacles, and update path information in real time, ensuring a smooth and accurate delivery process; because the delivery process is fully automated, the system can ensure accurate delivery of medicines, avoiding errors that may occur in manual delivery (such as taking the wrong medicine, medicine delivery delays, etc.). The payment confirmation system, by combining an electronic signature and verification system with the payment system, automates, secures, and expedites the entire drug payment process. After a prescription is issued, the patient needs to confirm their consent via electronic signature. The electronic signature and verification system integrates electronic signature functionality, ensuring that patients can electronically sign consent forms when receiving treatment plans and drug prescriptions. The system automatically records the patient's signing time, signatory information, etc., and uploads the signing data to the cloud for storage, ensuring data security and immutability. This allows hospitals to ensure that each patient's consent record is preserved for future verification. The payment system supports multiple payment methods, including Alipay, WeChat Pay, Apple Pay, and bank cards, allowing patients to choose their preferred or convenient method. This makes payment easy and enhances convenience and flexibility. Once the patient completes payment, the system automatically confirms successful payment and triggers subsequent drug retrieval and delivery instructions. This process requires no manual intervention; from payment to drug delivery, it is fully automated, improving work efficiency and reducing human error. The aforementioned paper-based and electronic medical record management system, combined with blockchain technology, provides a secure, transparent, and tamper-proof management platform for patients' medical records. Based on blockchain technology, the system employs decentralized and encrypted techniques to ensure the immutability of medical record data during storage and transmission. Every piece of medical record data (such as patient diagnostic information, treatment records, and examination results) is recorded on the blockchain, and encryption guarantees data security and privacy. Each modification or update to a medical record generates a new block; the original record cannot be altered, thus ensuring the integrity and reliability of historical medical record data. This is crucial for medical data... Traceability and verification are of great significance, avoiding the risk of tampering or falsifying medical records; patient medical records and doctors' diagnostic records can be stored in an electronic medical record database, and through blockchain technology, it is ensured that patient medical record information can be queried and updated in real time; any authorized person (such as the doctor or the patient) can view and modify their own medical record in the electronic medical record database, but all modifications and accesses are recorded and saved by the blockchain system, ensuring the transparency and traceability of operations; the encryption characteristics of blockchain ensure that only authorized personnel (such as the patient, doctor, hospital staff, etc.) can access or update medical record data, preventing data leakage or unauthorized tampering; The aforementioned paper medical record printing system automatically generates and prints paper medical records and related information after a patient's visit. After the patient's treatment process is completed, the system automatically generates and prints a complete paper medical record based on information in the electronic medical record (such as diagnosis results, treatment plans, prescriptions, etc.), allowing the patient to take it home or archive it without manual intervention, ensuring efficiency and accuracy. The labeling system prints drug information and diagnostic summaries. The system also generates drug information labels and diagnostic summary information, which are affixed to drug packaging to ensure drug accuracy and allow patients to clearly understand the medications they are using. The diagnostic summary information includes the patient's main symptoms, treatment plan, precautions, etc., allowing patients to clearly understand their medical process and providing this information to other healthcare providers.

[0027] In this implementation case, the AI ​​hospital is equipped with a complete set of efficient intelligent devices and support systems. These devices work together to provide comprehensive diagnosis, treatment, monitoring, and patient management services. On-site treatment equipment includes various medical devices for patient treatment, such as surgical assistance systems and physical therapy equipment. Diagnostic equipment includes CT scanners, MRI machines, and X-ray machines for diagnosing patient diseases. Monitoring equipment monitors patients' vital signs in real time, such as blood pressure, heart rate, and body temperature, ensuring timely feedback on patients' health status. The AI ​​hospital also supports various systems, such as hospital information management systems and electronic health record systems, supporting patient management, data storage, and information sharing. It also includes a power supply and control system with power supply devices, transformers, inverters, and voltage stabilizers to ensure stable equipment operation, provide a stable power supply, and prevent equipment failure or damage. All devices are integrated and coordinated through circuit boards and main control modules to ensure efficient cooperation and information sharing among subsystems. Communication modules are used to implement… The system enables data exchange and remote operation between devices, ensuring real-time communication between hospital equipment and back-end systems. Detection modules, various sensor modules, and sensing modules monitor patient status and equipment operation in real time, providing doctors with the latest data. Real-time imaging is provided during some treatments or examinations to assist doctors' judgment and operations. A large AI model is also included to analyze patients' historical data, real-time monitoring data, and various medical information, assisting doctors in diagnostic decisions, disease prediction, and personalized treatment plans. A powerful computing capability provided by the back-end server supports the operation of the large AI model, rapidly processing large amounts of data and performing storage and backup. A storage module stores patients' electronic health records, medical data, and equipment operation data, ensuring secure, complete, and efficient data access. It allows for the extraction of necessary data from databases or cloud systems for analysis by doctors and the AI ​​system. The analysis results from the AI ​​system are converted into specific instructions and transmitted to equipment or robots to perform tasks such as treatment and diagnosis. AI hospitals also include a sharing module, which ensures that all equipment, data and medical information can be shared within the hospital and with external partners, promoting efficient use of resources and rapid flow of information. AI-powered hospital consultation methods automate and intelligentize processes such as patient registration, diagnosis, examination, treatment, and payment, thereby improving consultation efficiency and patient experience.

[0028] In this implementation case, the AI ​​hospital is equipped with intelligent facilities in multiple building rooms, medical equipment and AI treatment, automated medical management and data transmission, and monitoring and emergency assistance equipment; The aforementioned intelligent building facilities provide the hospital with highly automated and secure management functions. Each ward's doors and windows are equipped with an intelligent access control system to control access permissions. RFID (Radio Frequency Identification) or biometric technologies (such as fingerprint and facial recognition) ensure that only authorized personnel can enter the ward. The ward doors are equipped with electric door control systems, allowing for automatic opening and closing and providing a convenient user experience, especially for patients with mobility impairments or medical staff. The access control system is connected to the hospital's central control system to ensure coordinated operation of access control management with other intelligent devices in the hospital. Each room door can automatically open and close as needed, and the access control management system can automatically identify and record personnel entering and exiting, ensuring ward security. High-definition cameras are installed inside the wards, and a network video monitoring system can monitor the ward environment in real time. The monitoring system, combined with intelligent analysis algorithms, can automatically detect abnormal situations, such as abnormal patient behavior, sudden health problems, or equipment malfunctions, promptly issuing alarms and transmitting relevant information to medical staff. The aforementioned intelligent building facilities further enhance the intelligent management of hospital rooms. Through IoT technology, they connect infrastructure such as water, electricity, and gas, monitoring energy consumption in real time. Smart water, electricity, and gas meters collect data, and intelligent regulating valves enable automatic adjustment and fault detection, ensuring efficient energy use and timely fault detection. Intelligent temperature and humidity sensors are installed in the hospital rooms, automatically adjusting room temperature and humidity using the air conditioning system to ensure a comfortable environment for patients and save energy. The air conditioning system is linked to the intelligent room control system, improving the accuracy and energy efficiency of environmental control. The hospital rooms also include sewage and fire protection systems. Intelligent sewage pipes and leak detection systems ensure the normal operation of sewage pipes. The fire protection system includes an intelligent fire alarm system that can promptly detect fire hazards and trigger automatic sprinkler systems, ensuring safety within the wards. The hospital rooms are also equipped with intelligent lighting systems that automatically adjust brightness based on the occupancy status of the room. LED indicator lights are linked to the hospital management system to guide patient movement and ensure orderly staffing within the hospital. The hospital rooms also feature self-propelled chairs and beds, providing greater convenience and comfort. These beds automatically adjust their position according to the patient's needs, facilitating movement within the ward. For activities or rest; the automatic walking chair and bed are equipped with an electric control system, using an electrically controlled servo motor system and stepper motors to drive the movement of the chair and bed, providing precise and smooth control; it is also equipped with a battery management system to ensure a stable and safe power supply, avoiding equipment failure due to insufficient power; the automatic walking chair and bed also have an intelligent positioning and navigation system, which uses the intelligent positioning system to locate and navigate the chair and bed in real time. The system can identify the position of the chair and bed, ensuring the accuracy and effectiveness of their movement; the chair and bed automatically switch from bed to chair through electric actuators, and the movement during this process is monitored and detected in real time by sensors. The automatic walking chair and bed are equipped with a smart support frame made of lightweight yet sturdy materials, providing stable support and a comfortable user experience. An electric drive system helps precisely adjust the support position, ensuring the chair provides appropriate comfort and support in different positions. The automatic walking chair and bed also feature a built-in voice recognition system, allowing patients to interact with the AI ​​system via voice to describe symptoms, request updates, etc. The device is equipped with a microphone and speaker for two-way voice communication, providing a more convenient operating experience for patients. All equipment in the hospital rooms is numbered and located. Each facility and piece of equipment is uniquely assigned a number and monitored in real time via a positioning system, ensuring that the location and status of equipment within the ward can be tracked. This facilitates equipment management, maintenance, and optimized resource allocation. The equipment has built-in integrated circuit boards and communication modules, enabling real-time data uploads and remote monitoring, ensuring hospital administrators can readily grasp the equipment's usage and health status. The wards are also equipped with smart furniture, such as tables and chairs with built-in wireless charging, providing convenient charging and seat adjustments. This smart furniture enhances the comfort of patients and their families. An electronic scheduling system ensures that suitable rest areas are provided for patients and their families. The aforementioned medical equipment and AI treatment system construct a highly intelligent medical environment, which comprehensively improves the efficiency and accuracy of diagnosis and treatment through the collaborative work of various AI technologies and equipment, including AI robot doctors and auxiliary equipment, AI surgical systems and intelligent operating rooms, diagnostic and treatment equipment, and traditional Chinese medicine treatment systems; The facility is equipped with an AI diagnostic system, blood bank and pharmacy management, and oxygen supply equipment. The AI ​​diagnostic system uses a deep learning model to intelligently generate diagnostic reports based on patient symptoms, signs, historical cases, and big data analysis, and automatically generates diagnostic suggestions based on medical record data. RFID technology is used to manage blood inventory in the blood bank and medications in the pharmacy, ensuring accurate allocation of blood and medications. An automated medication dispensing system automatically dispenses medications based on electronic prescriptions, improving the efficiency and accuracy of medication delivery. The oxygen supply equipment integrates an oxygen concentration sensor to monitor and adjust oxygen concentration in real time, and shares the data with the hospital system via wireless connection, achieving intelligent oxygen supply management. The AI ​​surgical system and intelligent operating room are managed intelligently. The operating room environment is managed through a sensor network to ensure the stability and safety of the environment during the operation. The AI ​​surgical robot is equipped with a high-precision motion control system to perform precise surgical operations. Combined with real-time CT and MRI image analysis and the instant suggestions of the AI ​​assistant, it assists in surgical decision-making and improves the success rate of the operation. The diagnostic and treatment equipment includes a CT and MRI room, an ultrasound and color Doppler ultrasound room, and a blood glucose meter and vital sign monitoring system. The CT and MRI room acquires images using high-frequency sensors and automatically analyzes the images and marks lesion areas using an AI image processing system, reducing human error and improving diagnostic accuracy. The ultrasound and color Doppler ultrasound room combines AI image recognition technology to automatically identify lesion areas and analyze the patient's physical data, improving the efficiency and accuracy of ultrasound examinations. The blood glucose meter and vital sign monitoring system monitors the patient's blood glucose and vital signs in real time, and the data is shared with doctors in real time through an upload module, helping doctors to make accurate disease assessments and treatment decisions. The AI-powered TCM pulse diagnosis system uses a sensor array to simulate traditional TCM pulse diagnosis and combines it with a machine learning model to analyze pulse changes and provide personalized TCM diagnostic suggestions. It also includes a meridian therapy device and an electrotherapy device, which stimulate specific areas with electrical pulses and combine them with a feedback sensor system to intelligently adjust the treatment intensity and provide precise TCM treatment. The aforementioned automated medical management and data transmission system constructs a highly integrated and intelligent medical environment. Through the collaboration of data acquisition and transmission systems and monitoring and emergency equipment, it improves hospital efficiency and patient treatment quality. The equipment collects and transmits patient medical data in real time via wireless communication protocols, including vital signs data, imaging data, and medical records. This data is transmitted to the hospital's central database and analyzed and compared through a big data platform and AI models to provide accurate diagnoses and personalized treatment plans. The AI ​​analysis system automatically generates treatment instructions based on the diagnostic results and sends them to relevant medical equipment (such as drug delivery, treatment equipment, and emergency treatment equipment) to achieve automated treatment plan execution. The monitoring and emergency equipment includes ventilators, emergency equipment, and ice beds and ice hoods. These devices integrate intelligent monitoring systems and can automatically activate in emergencies to ensure timely monitoring of the patient's vital signs. The ice beds and ice hoods, in conjunction with a temperature control system, automatically regulate the patient's body temperature, making them particularly suitable for hot weather or emergency treatment scenarios, helping patients maintain an appropriate body temperature during acute illnesses or trauma.

[0029] In this implementation case, the AI ​​hospital possesses a complete medical department configuration, including traditional departments such as internal medicine and surgery. Based on this, it integrates intelligent equipment and AI technology to achieve a high degree of integration and intelligent management of medical departments. The department setup includes various departments such as internal medicine, surgery, obstetrics and gynecology, and pediatrics to meet the diverse needs of different patients. It also includes key departments such as pharmacy, laboratory, radiology, and nuclear medicine to ensure the hospital's comprehensive medical service capabilities. Specially designed departments such as traditional Chinese medicine, infectious diseases, and general practice are available to better address the medical needs of China and other regions. The integration of departments and the application of AI are based on national regulations and requirements. The hospital can redesign and merge some departments to optimize space and resource allocation; the integration of AI doctors with intelligent devices will enable AI doctors to cover the diagnostic and treatment functions of multiple departments, especially in some common diagnostic and treatment processes, where the AI ​​system can integrate expert knowledge and diagnostic and treatment data from various departments to improve diagnostic and treatment efficiency and accuracy; in addition to traditional medical facilities, the hospital is also equipped with intelligent medical equipment, such as robotic doctors, intelligent surgical robots, and automated drug delivery systems, to improve the quality and efficiency of hospital services; in accordance with relevant national regulations and guidelines, the hospital can flexibly adjust the design and configuration of departments to adapt to changes in medical needs.

[0030] In this implementation case, the AI ​​hospital includes an AI hospital monitoring and control system, the multifunctionality and automation of AI robot doctors, the living and service facilities of the AI ​​hospital, and energy and facility guarantees; The AI ​​hospital monitoring and control system ensures that the operation of all equipment in the AI ​​hospital (such as AI robot doctors and nurses) and the entire hospital meets safety and regulatory requirements and complies with relevant medical equipment regulations. Remote supervision and real-time monitoring guarantee medical quality, equipment safety, and the correct use of equipment. The intelligent video monitoring system, equipped with high-definition cameras and video analytics, monitors key operations in the hospital in real time. Visual recognition, motion standardization recognition, and multi-angle and multi-form recognition ensure that the operations of AI robot doctors and nurses conform to standard procedures, especially in patient interactions and treatment processes. Ordinary visual recognition monitors the interaction between AI robot doctors and patients, ensuring that the medical process is executed according to regulations. Motion standardization recognition uses AI image processing technology to determine whether the AI ​​robot doctor accurately performs diagnostic and treatment operations. Multi-angle and multi-form recognition... The system employs multi-angle cameras to ensure comprehensive monitoring and supports 3D posture recognition technology, guaranteeing the accuracy and standardization of the robot's movements. When needed, doctors or nurses on the telemedicine platform can remotely monitor the AI ​​robot's operation in real time and pause or adjust its operation as needed to ensure patient safety. Remote control functionality allows for timely intervention and handling of any abnormal situations within the hospital. If the AI ​​robot deviates from its operating procedures, the system automatically sends a notification to human supervisors. These supervisors can directly adjust the robot's operation via the control panel and provide necessary diagnostic corrections to ensure patients receive timely and accurate treatment. The monitoring center can connect to the AI ​​robot management system, allowing doctors to control the robot and provide diagnostic corrections in abnormal situations. The AI ​​hospital monitoring and control system is equipped with a standardized operation database, which includes historical treatment data, medical literature, and clinical cases, providing standardized operating procedures and references for the AI ​​robot doctor. The AI ​​robot doctor, through its internal AI big data model system, performs treatment operations according to the standardized treatment procedures in the database, thereby ensuring the standardization and consistency of treatment. The AI ​​backend server collects all data from the AI ​​robot doctor's execution process in real time and performs real-time analysis. Through big data analysis and AI algorithms, the system detects potential treatment problems or operational deviations and generates immediate feedback. Once the system detects an operational error or non-standard treatment procedure, an automatic correction function is activated, analyzing the error type, treatment process, and medical records. Based on big data analysis, the system can adjust the AI ​​robot doctor's operating methods to correct deviations in the treatment process, ensuring the correctness and safety of treatment. The AI ​​robot doctor's operating methods can automatically adjust according to error type, treatment records, and real-time feedback, ensuring that even in complex or uncertain situations, the treatment process remains scientific, accurate, and personalized. The AI ​​robot doctor can perform routine nursing tasks, including checking patients' vital signs, administering medication, monitoring patient conditions, and even providing daily nursing care clothing. It automatically retrieves medications from the electronic prescription system and delivers them to patients, ensuring accurate and timely delivery. The AI ​​robot doctor is capable of minimally invasive or robotic surgery, performing precise cutting and suturing operations to assist in complex procedures. Equipped with ultraviolet disinfection lamps and a spray disinfection system, it automatically disinfects wards, operating rooms, and public areas. Furthermore, it can automatically clean ward floors and corridors using a floor cleaning function to ensure a clean hospital environment. The AI ​​robot doctor is equipped with ultraviolet disinfection lamps and a spray disinfection system, enabling it to automatically disinfect wards, operating rooms, and other public areas, reducing the risk of cross-infection within the hospital. It also has a cleaning function, automatically cleaning the hospital environment to ensure hygiene in wards and corridors, reducing the burden of manual cleaning. Furthermore, the AI ​​robot doctor can perform routine examinations such as ultrasound, blood glucose testing, and CT scans, and integrates a medical image acquisition system to help doctors better analyze and diagnose conditions. Through highly integrated medical technology, the AI ​​robot doctor is not limited to diagnosis and treatment; it can also assist in complex treatments and surgical procedures, improving treatment efficiency and accuracy. The AI ​​robot doctor not only possesses independent diagnostic and treatment capabilities but can also deeply integrate with other intelligent medical devices, enhancing their functionality and accuracy through integration. It can seamlessly integrate with various medical equipment such as tools, examination equipment, laboratory equipment, treatment equipment, rehabilitation equipment, surgical equipment, and oxygen supply equipment to form a comprehensive medical system. The AI ​​robot doctor can control the operation of these devices, monitor their status in real time, ensure they operate according to predetermined standards and procedures, and optimize operations through data feedback. When integrated with surgical equipment, the AI ​​robot doctor can precisely control surgical instruments for delicate operations such as cutting and suturing, assisting surgeons in completing highly complex surgical tasks. By analyzing the patient's condition and surgical environment in real time, the AI ​​robot doctor can provide intelligent operational suggestions and decision support, ensuring accuracy at every step of the surgical process. Furthermore, the AI ​​robot doctor integrates with oxygen supply equipment and can intelligently adjust and manage it. It can intelligently adjust the oxygen concentration according to the patient's actual needs and automatically supply oxygen. By monitoring the patient's vital signs in real time, the AI ​​robot doctor can flexibly adjust the oxygen supply to ensure that the patient's respiratory needs are met promptly and accurately. The AI ​​hospital's living and service support system comprehensively considers the needs of patients and their companions, providing a range of intelligent facilities and environmental controls, living service areas, intelligent auxiliary equipment, and energy and facility guarantees. The AI ​​hospital is equipped with a temperature and humidity control system that adjusts the hospital's temperature and humidity in real time through monitoring equipment to ensure a comfortable environment in areas such as wards and operating rooms. The intelligent air conditioning system can automatically adjust according to the needs of different areas, improving the comfort of patients and medical staff. The AI ​​hospital is also equipped with an air purification system, installing air filters and negative ion air purifiers in the wards to purify the air in real time, prevent cross-infection, and ensure a fresh and hygienic hospital environment. Finally, the AI ​​hospital features an intelligent lighting system that automatically adjusts the brightness of lights in the wards through sensors and light sensors, adjusting automatically according to patient needs, time, and the environment to enhance the patient's comfort experience. The AI ​​hospital is equipped with a living service area, including an AI restaurant and an automated smart restaurant, providing an automatic ordering system and food delivery service. Patients and medical staff can select meals via touchscreen or voice control, and meals are delivered directly to patient rooms via a robot delivery system, ensuring efficient and convenient catering services. It also includes a health rehabilitation area and a recreational area; rehabilitation exercise equipment, including smart treadmills and virtual reality rehabilitation training equipment, helps patients undergo exercise therapy during rehabilitation, promoting rapid recovery; a leisure park space provides a relaxing environment for patients, equipped with an intelligent guidance system, allowing patients to stroll in the hospital's green spaces or gardens, enjoying a soothing atmosphere and promoting psychological recovery; and supporting facilities, including a tea bar, coffee bar, convenience store, and supermarket, to meet the daily needs of patients and their families and enhance the hospital's service experience. The AI ​​hospital is equipped with an automated water supply and drinking water management system. Through an intelligent water equipment system, it automatically monitors water quality to ensure clean drinking water is provided within the hospital. It also regularly supplies water to wards and rest areas, ensuring the rational use of water resources. The hospital provides a comfortable resting environment for patients and their companions, with seats equipped with wireless charging, heating, and massage functions to enhance patient comfort. A stable power supply and uninterruptible power supply system ensure that all hospital equipment continues to operate normally during sudden power outages, guaranteeing the continuity of medical services. The intelligent water management system enables efficient use and conservation of water resources within the hospital, monitoring water pressure and flow to ensure the rational allocation of water resources. The fire protection system includes intelligent fire detection and alarm systems, such as smoke detectors and automatic fire extinguishing systems, ensuring the safety of the hospital and promptly detecting and automatically extinguishing fire hazards.

[0031] In this implementation case, the AI ​​hospital also includes an equipment control and management center and a system control center, medical equipment and its functional integration, AI robot doctors and intelligent equipment control, a data processing and big data analysis system, and a power supply and charging system. Through intelligent equipment and technology, it ensures the hospital's efficient, accurate, and safe operation. The equipment control system connects all medical equipment to the central control platform through an integrated control platform, ensuring real-time monitoring and coordination of the equipment. Each device is equipped with a smart tag for tracking equipment status, location, and performance data. A distributed architecture supports simultaneous control and monitoring of multiple devices, and data exchange and equipment scheduling are performed through API interfaces. The equipment features self-checking and automatic repair capabilities. Each device is equipped with a self-checking system that monitors its status in real time, detects faults or non-standard operations, and, through AI algorithms, can automatically diagnose and provide repair suggestions or initiate automatic repair procedures. The medical equipment and its functional integration adopt a modular design. This includes modular designs for medical devices such as ventilators, blood glucose meters, X-ray machines, and CT scanners, allowing for flexible combinations to meet the needs of the AI ​​hospital. Each module can work independently or collaboratively as a whole. The equipment is integrated with robots; for example, the AI ​​robot doctor can integrate blood glucose meters, blood pressure monitors, pulse oximeters, and other devices, becoming a multi-functional integrated device capable of performing different medical procedures as needed. Adjustable and movable support frames are designed for precision equipment (such as CT scanners and X-ray machines), ensuring flexible movement of the equipment in different areas and guaranteeing stability during operation. The AI ​​robot doctor is integrated with intelligent device control. Capable of multitasking, the AI ​​robot doctor can switch between different functional modules as needed to perform multiple tasks such as diagnosis, nursing, testing, and medication management. The robot can automatically perform routine examinations such as blood glucose testing, electrocardiogram (ECG) testing, and X-ray imaging based on the patient's condition. Equipped with lidar, cameras, and sensors, the AI ​​robot doctor can perceive its environment in real time, navigate autonomously, and avoid obstacles. Each joint has precise motion adjustment capabilities and is equipped with a force feedback system to ensure accurate and safe movements. The AI ​​robot doctor integrates speech recognition and synthesis technology, enabling natural language communication with patients and supporting multiple languages, including Chinese, English, and various dialects. Data from medical devices is transmitted in real-time to a central database via sensors and stored and managed using cloud computing and distributed storage technologies. An AI database management system categorizes, encrypts, and protects the privacy of medical data. AI algorithms analyze historical case data to assist doctors in disease prediction, treatment plan optimization, and medical resource allocation. The system can also automatically optimize treatment processes based on historical data, improving diagnostic and treatment efficiency. Deep learning algorithms analyze medical images to automatically identify lesion areas and verify them against doctors' diagnoses to ensure accuracy. The devices are equipped with electronic control systems, PCB circuit boards, and embedded microcontrollers to monitor device status in real-time and automatically adjust. If an abnormality occurs, the system automatically adjusts and repairs or adjusts via remote control. Combining AI and machine learning algorithms, it analyzes historical data to predict failure risks and implements automated maintenance plans. All devices and robots are equipped with automatic charging modules to ensure optimal operating conditions. Devices can be automatically charged via wireless charging or plug-in charging. The hospital's power system is equipped with voltage stabilizers and uninterruptible power supplies (UPS) to ensure continued operation of equipment during power fluctuations or outages, guaranteeing the continuous and stable operation of hospital equipment.

[0032] In this implementation case, the AI ​​robot doctor is a highly intelligent and versatile medical device that integrates multiple advanced medical technologies and equipment. It is capable of undertaking various medical tasks and providing precise and automated services. The AI ​​robot doctor is equipped with a support frame consisting of a motor and a hydraulic system, which supports its stable movement and ensures that the robot can operate flexibly within the hospital. The AI ​​robot doctor is equipped with replaceable robotic arms, each with multiple joint drives, enabling precise medical operations such as grasping, cutting, and suturing. The robotic arms support multiple modular accessories (such as scalpels, laser scalpels, suction devices, etc.), allowing it to perform a variety of delicate tasks during surgery. Equipped with LiDAR and visual sensors, and combined with simultaneous localization and mapping (SLAM) technology, the AI ​​robot doctor can move freely within the hospital, avoiding obstacles and navigating autonomously. It can integrate with various medical devices (such as blood glucose meters, electrocardiographs, and microscopes) to perform multiple diagnostic and treatment tasks. The AI ​​robot doctor can automatically identify device status, adjust device parameters, and operate according to different medical scenarios. Devices exchange data with the AI ​​robot doctor via wireless communication or a hardware interface, utilizing IoT protocols to ensure the robot can control and operate these devices. The AI ​​robot doctor can integrate with high-precision microscopes and surgical instruments (such as electrocautery needles, electroscalpels, and electrocautery devices) for minimally invasive surgical procedures, making it particularly suitable for ophthalmic surgery, neurosurgery, and other fields requiring high precision. The AI ​​robot doctor can also operate pathology slide machines. The AI ​​robot doctor performs detailed slicing tasks and utilizes ultra-high frequency electrosurgical units for tumor resection and tissue coagulation. It integrates imaging diagnostic equipment, controlling X-ray machines, CT scanners, and MRI machines for image acquisition, automatically analyzing images using AI algorithms to identify lesion areas and generate diagnostic reports. The AI ​​robot doctor is equipped with a blood glucose meter, blood pressure monitor, and pulse meter, enabling real-time monitoring of patients' blood glucose, blood pressure, and pulse data, uploading the results to the hospital's medical cloud platform to generate reports and provide preliminary diagnoses. It can also automatically collect and analyze blood samples, sending them to the laboratory for further testing. The AI ​​robot doctor operates a bone density analyzer for precise bone health checks, promptly detecting fractures or osteoporosis, while the pulse meter monitors pulse status in real-time to predict cardiovascular health issues. AI-powered robotic doctors can operate cardiac imaging equipment to generate 3D models of the heart, assisting doctors in the diagnosis and treatment of diseases such as coronary artery and heart valve disorders. They can also be equipped with electroencephalography (EEG) devices to monitor brain activity in real time, aiding in the diagnosis of neurological diseases such as epilepsy and insomnia. The AI-powered robotic doctor has a built-in self-diagnostic module that regularly checks hardware status, software operation, and device connectivity. If a fault or potential problem is detected, the system will automatically report and issue maintenance commands to ensure the equipment is in optimal working condition. The AI-powered robotic doctor's embedded operating system uses adaptive control algorithms to ensure the robot can accurately perform tasks in diverse medical environments. Doctors can remotely control the robot via a cloud platform or use local AI control to deploy different medical tasks in real time. AI robot doctors integrate speech recognition and synthesis technology, enabling them to communicate with patients in multiple languages, including Chinese, English, various local dialects, and minority languages ​​(such as Cantonese and Minnan). Implementation Case Analysis: Imagine a patient arriving at an AI hospital. First, they register using an automated chair. The AI ​​system confirms the patient's identity via facial recognition and automatically records their personal information. A robotic doctor then performs routine examinations using built-in sensors and equipment (such as a blood glucose meter, electrocardiograph, and microscope), generating preliminary diagnostic suggestions. Based on the diagnosis, the robotic doctor generates an electronic prescription and connects to the medication delivery system, delivering the medication directly to the patient's room via an automated medication retrieval system. During surgery, the AI ​​robotic doctor performs delicate ophthalmic procedures using a microscope and surgical instruments, providing real-time feedback through high-precision image analysis. After surgery, the robot continues to monitor the patient's vital signs, such as blood glucose and blood pressure, and uploads this information to the hospital's database via a cloud platform, supporting subsequent treatment.

[0033] In this implementation case, the fully automated process of the AI ​​hospital involves all aspects from patient information collection to health management, with a focus on achieving automated diagnosis and treatment, personalized treatment, and long-term health management through intelligent technology; Upon entering the AI ​​hospital, patients first register using an automated chair. The chair has a built-in touchscreen and facial recognition camera, automatically collecting the patient's facial information and identifying them through facial recognition technology. Patients input personal information (such as name, gender, height, and weight) via touchscreen or voice input. The AI ​​system links this information with family information and stores it in a cloud database. The system automatically generates and updates the patient's electronic health record, automatically identifying the patient during each visit by matching facial recognition with their identity information, avoiding duplicate data entry. The system also automatically records changes in the patient's health based on big data analysis, ensuring the medical records are up-to-date. The patient's health data (such as gait recognition, complexion, temperature, blood pressure, and heart rate) is analyzed using computer vision and deep learning models, combined with historical case data, to provide preliminary diagnostic suggestions. The system analyzes physiological data and lifestyle habits using big data models, combined with medical data from the cloud computing platform, to generate a preliminary analysis of the condition, including symptoms, onset time, cause, and possible disease progression. Based on the patient's historical medication records and big data analysis, the system can generate prescription suggestions and predict the patient's recovery time, required costs, and dietary therapy methods. Based on the diagnosis and analysis of the patient's condition, the AI-powered robotic doctor automatically generates an electronic prescription, ensuring the safety and effectiveness of the medication. The prescription includes the drug name, dosage, and usage instructions, and incorporates the patient's allergy records, drug interactions, cell analysis, and DNA sequence analysis. After confirming the prescription, the patient can complete the payment through an electronic payment system (such as Alipay or WeChat Pay). Once payment is complete, the medication is delivered to the patient's ward via an automated drug delivery system, ensuring the accuracy and safety of the medication. RFID tags and QR code technology are used for drug verification. Finally, the medication is automatically picked up and delivered to the patient by a robotic system, ensuring that the medication reaches the patient correctly and on time. Each time a patient visits, the AI ​​system automatically retrieves historical records and updates their health profile, ensuring that the patient's health data is always up-to-date. All data (such as medical reports, treatment records, and examination results) is stored in a cloud database or distributed storage system. All patient personal information and health data are encrypted to ensure data security, and encryption protocols are used to protect privacy during data transmission. Patients can access their health data through dual authentication or biometrics (such as facial recognition or fingerprint recognition). Patients can authorize family members or designated medical experts to access their health data, enabling information sharing and collaborative treatment. Patients can access, download, or print their health reports at any time. Implementation Case Analysis: Imagine a patient entering an AI hospital for a routine check-up. The patient registers their identity and enters relevant information using an automated chair. The system automatically collects the patient's health data and generates an electronic health record. The AI ​​system analyzes the patient's physiological data, medical history, and lifestyle habits to provide preliminary diagnostic suggestions and generate a personalized prescription. After confirming the prescription, the patient completes payment through the WeChat payment system. The medication is delivered to the ward via an automated delivery system. At the same time, the AI ​​system records and updates the patient's health record to ensure that each visit reflects the latest health status. As patient health data continues to accumulate, AI systems use big data analysis and machine learning to predict conditions in real time, generate personalized treatment plans, and provide decision support for future medical visits. Through this automated and personalized medical service, hospitals can effectively improve medical efficiency, reduce human error, and provide higher quality care and treatment.

[0034] In this implementation case, the AI ​​pharmacy is a highly automated and intelligent drug management system, equipped with fully automated facilities for multiple stages, including drug storage, retrieval, verification, and delivery, ensuring efficient and accurate drug management. The drug shelves employ a multi-layered structure, classifying and storing drugs according to type (e.g., prescription drugs, over-the-counter drugs, emergency medications, etc.). Each location has a unique number, identified by RFID tags or QR codes, ensuring precise drug location and preventing confusion. The shelves are equipped with automatic separation devices to prevent cross-contamination or mixing of different drugs. Electric lifting platforms or conveyor belts are used for drug classification and separation. Mechanical [equipment / mechanical system] is also included. The AI ​​robot uses a robotic arm and visual recognition system to precisely grasp medicines. The robotic arm can rotate, move up and down, and move forward, backward, left, and right to ensure accurate grasping and placement of medicines. The robotic arm identifies medicines through an image recognition system installed on a camera and synchronizes with a medicine database to update the location and inventory of medicines in real time. High-definition cameras are equipped on the medicine storage shelves to monitor the storage and retrieval of medicines in real time. The cameras are not only used for medicine verification but also to ensure that medicine storage and retrieval comply with operating procedures. The system compares the data recorded by the cameras with the backend database to ensure the accuracy of medicine inventory and monitor the type and quantity of medicines to avoid errors. The AI-powered pharmacy's drug management platform integrates functions such as drug storage, classification, and expiration reminders. It manages drug usage through a large AI model database, ensuring timely inventory updates through real-time synchronization of drug information. A drug intelligence database provides detailed data on drugs through the AI ​​model, such as instructions for use, indications, and pharmacological effects. Combined with patient health data, it intelligently matches medication recommendations to doctors. When drug inventory is low or nearing expiration, the system automatically reminds pharmacy staff to replenish or update the stock. Drugs are delivered from the pharmacy to the patient's department or ward via an automated drug delivery system. The system uses RFID tags and QR code technology to ensure accuracy during delivery. Before delivery, the AI ​​pharmacy's system automatically verifies the quantity and type of drugs to ensure consistency with the prescription, guaranteeing that the drugs meet the patient's prescription requirements. The intelligent placement rack adopts a multi-layer structure, with automatic walking tracks installed on the top or around the rack. The tracks enable the robotic arm to move automatically up and down, left and right, and forward and backward. The robotic arm is equipped with multiple joints, which can rotate, lift, and put down, ensuring that medicines are accurately grasped and placed according to the prescription requirements. The robotic arm is equipped with cameras, visual recognition systems, and intelligent feedback systems to ensure that medicines are placed correctly. Implementation Case Analysis: Once a patient arrives at the hospital and receives a prescription, the AI ​​pharmacy begins its fully automated operation. The patient or medical staff submits their medication request via electronic prescription. The AI ​​robot doctor generates an electronic prescription based on the prescription and instructs the medication to be retrieved. Medications are tagged with RFID tags, and the system tracks their location in real time. The AI ​​robot identifies the medication and uses a robotic arm to retrieve the specified drug from a multi-tiered shelf. After the medication is retrieved, the system verifies the quantity and type of medication using a high-definition camera to ensure it matches the prescription. The medication is then delivered to the patient's ward via an automated delivery system. Every step of the delivery process is tracked using QR code technology to ensure accuracy. The storage status of medications within the pharmacy is also monitored in real time. The medication management system uses big data and AI algorithms to ensure the real-time updates of medication effectiveness and inventory status, promptly reminding pharmacy staff to replenish stock or replace medications nearing their expiration date. Through the AI ​​pharmacy system, hospitals can achieve precise management, efficient retrieval and delivery of medicines; the automated operation of AI robot doctors greatly reduces errors in human operation, improves the accuracy and efficiency of medicine delivery, and optimizes inventory management, reducing medicine waste and the risk of expiration; patients can receive personalized medication advice through real-time data feedback, while the encrypted storage and sharing of medicine information ensures the protection of patient privacy and provides doctors with scientific medication support.

[0035] In this implementation case, the AI ​​pharmacy is a highly intelligent and secure drug management system that integrates various automation and intelligent technologies to ensure the efficiency, accuracy, and security of drug management, distribution, and verification. Specifically, it includes functions such as drug storage, prescription generation, drug verification, and drug dispensing. For pharmacy security management, the AI ​​pharmacy is designed as a closed or isolated space with doors and ventilation systems. The entrance is equipped with automatic electronic or mechanical locks to ensure that only authenticated personnel and AI robots can enter, thus ensuring pharmacy security. Access to the pharmacy is controlled through an authentication system (such as fingerprint recognition or facial recognition), further guaranteeing the secure storage and management of drugs. Drugs in the AI ​​pharmacy are categorized and stored according to type, brand, dosage, etc., with each drug having a unique number. An intelligent identification system ensures that drugs are not confused and that drug storage is standardized. Drugs are identified through the intelligent identification system, and the AI ​​robot can automatically grab or move drugs based on their numbers and categories, improving efficiency and avoiding human error. The system employs a multi-verification mechanism to ensure consistency between the medication and the prescription before delivery. During verification, the medication's name, quantity, dosage, and other information are compared with the prescription information to ensure compliance. A verification failure alarm automatically stops medication dispensing and sends an alert to the cloud management system if discrepancies are found. Human administrators can then intervene via the console to pause dispensing and perform a manual verification. Alternatively, human administrators can manually verify the medication using image recognition or physical inspection to ensure accuracy. Upon successful verification, the human administrator authorizes and delivers the medication to the patient. Integrating traditional Chinese and Western medicine prescriptions, the AI ​​pharmacy can collaboratively manage prescriptions from multiple departments, including traditional Chinese medicine and Western medicine. The AI ​​system generates personalized prescriptions based on patients' diagnostic data, symptom descriptions, examination results, and historical medical records. The AI ​​system also calculates and verifies prescriptions by combining patients' physiological data and allergy history to ensure that the prescribed medications are appropriate for the condition and improve treatment effectiveness. Each patient is managed by a dedicated AI doctor to ensure the safety and accuracy of prescriptions. Implementation Case Analysis: A patient with a chronic illness came to the AI ​​hospital for a routine check-up. The doctor used the AI ​​system to generate a personalized prescription based on the patient's symptom description, examination results, and medical history. The patient's AI doctor, considering factors such as her allergy history and physical characteristics, combined with a large AI model database, calculated and verified the prescription. After the prescription was generated, the patient went to the AI ​​pharmacy to pick up her medication. Inside the pharmacy, an AI robot automatically retrieved the required medication according to the prescription instructions. The medications were tagged with RFID tags on the shelves to ensure accurate location. The AI ​​system automatically verified the name, dosage, and quantity of the medications against the prescription. If the medications met the prescription requirements, the system... The system employs a multi-stage verification mechanism to ensure accuracy. During the verification process, cameras monitor drug storage and retrieval to ensure accuracy and standardized operation. Drug information is synchronized in real time with the cloud database to ensure that information such as inventory status and drug types are constantly updated. Once the verification is successful, Ms. Li's medication is accurately delivered to her through the automated drug delivery system. If the verification process reveals a discrepancy between the medication and the prescription, the AI ​​system will immediately stop dispensing the medication and send an alert to the cloud management system, notifying human administrators for further inspection. Human administrators will intervene through the console and use an image recognition system to confirm the correctness of the medication, ensuring that the patient receives the correct medication.

[0036] In this implementation case, the AI ​​hospital integrates a manual management and scheduling system with an AI robot control system. Through a combination of automation and human intervention, it ensures smooth hospital operation and timely handling of anomalies. This system design not only ensures the efficiency and accuracy of medical services but also provides real-time monitoring and intervention mechanisms to cope with unpredictable failures or emergencies. The manual management and scheduling system features a large-screen display room that shows the real-time working status of AI robots, the operating status of medical equipment, and patient progress. Dispatchers can view the task execution status of all AI robots through the interface, including whether there are any malfunctions, deviations from tasks, or system alarms. The system automatically adjusts task priorities based on factors such as emergency needs, departmental demands, and doctor schedules. Manual dispatchers can also manually adjust tasks to ensure that critical tasks are prioritized and that critical medical tasks are completed in a timely manner. In the event of an anomaly, the scheduling system will automatically issue a warning. Dispatchers can immediately view the alarm information and intervene. Dispatchers can control the AI ​​robots to pause operation or switch to manual operation mode through the interface to ensure uninterrupted medical processes. The AI ​​robot monitoring system uses cameras, sensors, and real-time data acquisition technology to monitor the work processes of AI robot doctors and nurses, analyze whether the robot's behavior meets predetermined standards, and promptly detect abnormalities. When the monitoring system detects that the robot's behavior does not meet the standards, it automatically switches to manual control mode, sends an alarm to the manual management and scheduling system, and suspends the robot's operation, awaiting human intervention. Each AI robot is equipped with multiple visual sensors, motion sensors, and environmental sensors to monitor the robot's behavior in real time to ensure that it conforms to the prescribed operating procedures. The monitoring system ensures that the robot's operation is accurate and conforms to standards. When a robot malfunctions or operates improperly, the system will automatically pause its work and hand it over to human control or another robot. Human dispatchers can take over the robot's tasks through the remote control system to ensure uninterrupted medical services. In case of malfunction or abnormality, the AI ​​robot can be replaced by other robots or human intervention mechanisms to ensure the continued execution of medical tasks. The AI ​​robot control system and the manual management and scheduling system are independent systems, each responsible for robot operation monitoring, task allocation, and resource allocation. This ensures that the two systems do not interfere with each other and each focuses on its own task. The manual scheduling and management system is responsible for overall scheduling, resource allocation, and alarm intervention; the system has multi-level access control to ensure that only authorized personnel (such as dispatchers, doctors, and administrators) can perform important operations and interventions. All permissions are controlled through an identity verification system to ensure the security and compliance of operations. Real-time information feedback and monitoring: Information from all AI robots, equipment, surveillance cameras, sensors, etc., will be fed back to the human management and dispatch room in real time through a large screen display system or mobile device platform. Dispatchers can view the equipment status, robot working status, patient progress, etc. in each department in real time. Through the platform, dispatchers can allocate resources between departments and make manual interventions to ensure the efficiency and stability of hospital operations. Implementation Case Analysis: Suppose a hospital's AI pharmacy is providing medication dispensing services to patients. In the normal workflow, an AI robot automatically picks up medications based on prescriptions and delivers them to patient rooms via the medication delivery system. During this process, the AI ​​robot malfunctions and fails to pick up the designated medication. At this point, the AI ​​robot and the equipment monitoring system immediately detect the malfunction and issue an alarm. The system automatically switches the robot to manual control mode and sends the alarm to the human management and dispatch system. The dispatcher views the anomaly information on a large screen, identifies the problem, and takes over the task remotely, assigning the robot's task to another robot or a human operator. Simultaneously, the human dispatcher adjusts task priorities based on the system's intelligent task allocation to ensure other urgent tasks are not affected, guaranteeing the smooth operation of the hospital's medical processes. All operations are authorized through an identity verification system to ensure operational security.

[0037] In this implementation case, the charging items and business methods are as follows. 1. Definition of Fee Items A. Registration fee: When patients register at the AI ​​hospital, they need to pay a registration fee, which usually includes the cost of system registration, patient information collection, and initial consultation with the AI ​​doctor. This fee can be a fixed amount or vary depending on the department and the doctor's level of expertise. B. Diagnosis fee: The fee charged by the AI ​​robot doctor when providing diagnosis to patients. This includes intelligent diagnosis through AI models and machine learning analysis of patient symptoms, medical history and examination data. C. Testing / Examination Fees: Fees will be charged for any laboratory tests performed, such as blood tests, imaging examinations, ultrasound, CT, MRI, etc. D. Treatment / Surgery Fees, including the costs required for AI robot-assisted treatment or surgery, depending on the specific type of treatment and the complexity of the surgery; E. Bed fee: If the patient needs to be hospitalized, the bed fee will be charged according to the type of ward and the number of days of hospitalization. F. Medication costs: Patients pay for medications after obtaining a prescription through the AI ​​system. This includes the cost of purchasing and delivering the medications. G. Medical records and health system management fees, including fees for services such as patient health management, electronic medical records, and long-term health tracking; H. Membership and regular health management fees: If patients choose the AI ​​hospital's membership service, they will be charged an annual or quarterly membership fee to enjoy regular health check-ups and continuous health management services. I. Hospital meal expenses: The cost of meals required by the patient during hospitalization, charged according to the type of meal and the number of meals.

[0038] 2. AI Hospital Payment Process and Methods A. Membership Fees: After a patient chooses to join the hospital's membership system, the AI ​​hospital system will generate a membership account for the patient. The account stores the fees for regular payments. Members can pay their regular health management fees in advance. Membership fees can be paid via bank transfer, credit card, or online payment platforms such as WeChat and Alipay, and automatic deductions can be set up. B. Social Security Card Payment: Patients can use their social security card to pay for part of their medical expenses, especially for medical services covered by the government or social security system, such as routine examinations and some medications; C. Patient bank card payment: Patients and their families can make payments via bank card, covering registration fees, diagnosis fees, treatment fees, etc. D. Third-party payment platforms: Patients and their families can settle payments through third-party payment platforms such as WeChat and Alipay, which support fast payment and electronic invoice generation; 3. Business and Profit Model A. Service fees: Profits are generated through various fee items such as registration fees, diagnosis fees, treatment fees, medication fees, and hospitalization fees. B. Membership revenue: The hospital collects membership fees through services such as health management, regular check-ups, and exclusive services to ensure a stable long-term income. C. Data and analytics services: By aggregating health data and using an AI analytics platform, we provide these services to medical research institutions, pharmaceutical companies, and other businesses, thereby generating additional revenue streams. D. Online medical services: Expand remote medical services and allow patients to make appointments for medical treatment and purchase medicines through APP, website and other channels to attract more patients to participate; E. Cross-regional cooperation: Collaborate with other medical institutions, insurance companies, and enterprises to provide cooperative medical services and increase the hospital's market share.

[0039] The preferred embodiments of the present invention have been described in detail above with reference to the accompanying drawings. However, the present invention is not limited to the specific details of the above embodiments. Within the scope of the technical concept of the present invention, various simple modifications can be made to the technical solution of the present invention, and these simple modifications all fall within the protection scope of the present invention.

[0040] It should also be noted that the various specific technical features described in the above specific embodiments can be combined in any suitable manner without contradiction. In order to avoid unnecessary repetition, the present invention will not describe the various possible combinations separately.

[0041] Furthermore, various different embodiments of the present invention can be combined in any way, as long as they do not violate the spirit of the present invention, they should also be regarded as the content disclosed by the present invention.

Claims

1. An AI hospital and its operation method and business model for AI diagnosis, prescription, and dispensing, characterized in that: The AI ​​hospital includes basic building functions, as well as AI robot doctors, testing and laboratory equipment, medical record collection and storage, prescription and medication retrieval, and case and rehabilitation case collection, storage, and retrieval. It also includes a human management and monitoring room, AI machines and local systems, back-end servers, and human feature algorithms to draw conclusions. It is equipped with an electronic prescription and drug retrieval system, a payment confirmation system, a paper and electronic medical record management system, and a paper medical record printing system. Based on the prescription issued by the AI ​​robot doctor, after the person agrees and confirms payment, the robot automatically retrieves the medicine, puts it into a container or packages it, and delivers it to the person or patient. The aforementioned building functions and infrastructure include an intelligent hospital management system and Internet of Things (IoT) devices; the intelligent hospital management system integrates hospital management, treatment processes, queuing systems, appointment systems, and medical resource allocation functions; the IoT devices connect hospital beds, testing equipment, and laboratory equipment to the hospital management system, and monitor patient status in real time through sensors and network protocols. The AI ​​robot doctor is equipped with an AI system, a speech recognition and natural language processing system, and machine learning and deep learning capabilities. The speech recognition and natural language processing system technology realizes speech-to-text conversion and combines natural language processing tools to perform disease analysis and dialogue generation. The machine learning and deep learning technologies enable the AI ​​robot doctor to perform symptom matching and prediction based on historical cases and patient information using deep neural networks. The case data collection and storage includes data collection and storage, and human feature algorithm technology. The data collection and storage can establish a unified electronic health record, storing the patient's historical medical records, physical examination results, laboratory data, etc. in structured or unstructured data; it is also equipped with cloud storage and database; the human feature algorithm technology uses feature extraction and machine learning models, combined with the patient's physical characteristics such as age, gender, genes, etc., and uses machine learning algorithms such as decision trees and random forests to perform personalized diagnostic predictions. The electronic prescription and drug capture, electronic prescription generation engine, based on the patient's symptoms, signs and medical knowledge base, uses a rule engine to generate standardized electronic prescriptions, and can also use natural language generation technology to convert the diagnosis results into prescription information that doctors can read; The drug grabbing and automation system includes a robotic drug grabbing system and an automated drug delivery system. The robotic drug grabbing system uses robots to automatically grab drugs; through computer vision and drug recognition technology, it automatically identifies drugs and completes the grabbing. The robotic grabbing system can be used in conjunction with an automated material handling system to realize the automatic handling and packaging of drugs. The automated drug delivery system also uses robots to transport drugs to patients or medical staff via electric trolleys or automated guided vehicles to ensure accurate delivery. The payment confirmation system includes an electronic signature and verification system and a payment system. The electronic signature and verification system uses the platform's integrated electronic signature function to ensure that patients sign electronic consent after a prescription is issued. The system can automatically record information such as the consent time and signatory, and upload it to the cloud for storage. The payment system supports payment methods such as Alipay, WeChat Pay, Apple Pay, and bank cards, allowing patients to complete payment after confirmation by an AI robot doctor. After payment, the system automatically triggers instructions for drug retrieval and delivery. The paper-based and electronic medical record management system establishes a blockchain-based medical record management system to ensure that medical record data is not tampered with and has an immutable historical record. Patient medical records and doctors' diagnostic records can be queried and updated in the electronic medical record database. The paper medical record printing system can automatically generate and print paper medical records after a patient's visit, and print drug information and diagnostic summary information through a labeling system.

2. The operation method and business model of an AI hospital and AI diagnosis, prescription, and dispensing as described in claim 1, characterized in that, AI hospitals also include on-site treatment equipment, diagnostic equipment, monitoring equipment, support systems, and AI-assisted equipment, enabling diagnosis, treatment, monitoring, and patient management. All of the aforementioned equipment is equipped with power supply devices, transformers, inverters, voltage regulators, integrated circuit boards, main control modules, motion control modules, communication modules, detection modules, various sensor modules, sensing modules, camera modules, computing chips, large AI models, backend servers, backend server computing modules, storage modules, data retrieval modules, communication modules, command sending modules, and also includes the aforementioned sharing modules and consultation methods.

3. The operation method and business model of an AI hospital and AI diagnosis, prescription, and dispensing as described in claim 1, characterized in that: The AI ​​hospital is equipped with intelligent facilities in multiple building rooms, medical equipment and AI treatment, automated medical management and data transmission, and monitoring and emergency assistance equipment. The building's intelligent facilities include doors, windows, and intelligent access control and security systems. Access to hospital rooms is controlled through RFID or biometric technology. Room doors are equipped with electric door control systems and connected to the hospital's central control system. Each door is equipped with automatic opening and closing and access control management systems. High-definition cameras are installed in the rooms to monitor the ward environment in real time through a network video monitoring system. Combined with intelligent analysis algorithms, anomaly detection is achieved. The intelligent facilities in the building rooms also include basic facilities and environmental control, automatic walking chairs and beds, and equipment numbering and positioning. The basic facilities and environmental control include water, electricity, and gas management; air conditioning ducts and temperature and humidity control; sewage and fire protection systems; lighting and indicator lights; and rest areas and furniture. The water, electricity, and gas management uses IoT technology to connect water, electricity, and gas infrastructure, monitor energy consumption in real time, collect data using smart water meters, electricity meters, and gas meters, and combine this with intelligent regulating valves to achieve automatic adjustment and fault detection. The air conditioning ducts and temperature and humidity control, through the installation of intelligent temperature and humidity sensors, automatically adjust room temperature and humidity using air conditioning to ensure a comfortable environment and energy saving. The air conditioning system can... The system integrates with the intelligent room control system to ensure efficient energy use. The sewage and fire protection system uses intelligent sewage pipes and leak detection to provide real-time feedback on pipe blockages or leaks. It also features an intelligent fire alarm system that triggers automatic sprinkler systems. The lighting and indicator lights utilize an intelligent lighting system that uses sensors to detect the presence of people in the room and automatically adjusts the brightness. It also integrates with the hospital management system, with LED indicator lights guiding patient movement. The rest area and furniture use intelligent furniture, such as tables and chairs with built-in wireless charging, providing convenient charging and seat adjustment. Combined with the ward's electronic scheduling system, it provides a suitable rest area for patients and their families. The building's intelligent facilities also include automatic walking chairs and beds, driven by an electrically controlled servo motor system and stepper motors, with a battery management system to ensure power supply. The chair / bed is located and navigated via an intelligent positioning system; the bed-chair can automatically fold from bed to chair and vice versa using electric actuators. Sensors detect movement during folding to avoid collisions and unsafe operation; the bed-chair is designed with an intelligent support frame made of lightweight yet sturdy materials, combined with electric drive to provide precise support and comfort; the bed-chair has a built-in voice recognition system, allowing patients to interact with the AI ​​system via voice to provide symptom descriptions and information updates, and the built-in microphone and speaker enable two-way communication; The equipment is numbered and located, and each device and hospital bed chair is equipped with an RFID tag or QR code. The device location, usage status, maintenance records and other information are managed through an Internet of Things system to achieve real-time tracking. The device has a built-in integrated circuit board that connects to a communication module to enable real-time data uploading and remote monitoring. The medical equipment and AI treatment include AI robot doctors and auxiliary equipment, operating rooms and AI surgical robots, diagnostic and treatment equipment, and AI-powered traditional Chinese medicine pulse diagnosis and treatment. The robot doctors and auxiliary equipment include an AI diagnostic system, blood bank and pharmacy management, and an oxygen supply device. The AI ​​diagnostic system uses a deep learning AI model to analyze patient symptoms and signs, and obtains relevant diagnostic suggestions from historical cases, literature, and big data. It analyzes patient symptom descriptions and intelligently generates diagnostic reports. The AI ​​robot doctor communicates with patients through voice interaction and automatically generates diagnostic suggestions based on collected medical record data. The blood bank and pharmacy management uses RFID technology to manage blood inventory and pharmacy medications. An automated medication dispensing system can automatically dispense medications based on electronic prescriptions, ensuring accurate delivery. The oxygen supply device integrates an oxygen concentration sensor to monitor and adjust oxygen concentration in real time. The oxygen supply device shares data with the hospital system via wireless connection. The operating room and AI surgical robot include intelligent operating room management and an AI surgeon. The intelligent operating room management manages the surgical environment through a sensor network, and the AI ​​surgical robot... The system enables precise surgical procedures and is equipped with a high-precision motion control system. The AI ​​surgeon makes surgical decisions based on real-time CT and MRI image analysis and immediate suggestions from an AI assistant. The diagnostic and treatment equipment includes a CT and MRI room, an ultrasound and color Doppler ultrasound room, a blood glucose meter, and vital sign monitoring. The CT and MRI room utilizes high-frequency sensors for image acquisition, and an AI image processing system analyzes the images, automatically marking lesion sites to reduce human error. The ultrasound and color Doppler ultrasound room integrates AI image recognition technology to automatically identify lesion areas and analyze the patient's physical data. The blood glucose meter and vital sign monitoring system monitor the patient's vital signs in real time, automatically recording blood glucose levels and sharing the data with the doctor in real time via a data upload module. The TCM pulse diagnosis and treatment system includes an AI TCM pulse diagnosis system, a meridian therapy instrument, and an electrotherapy instrument. The AI ​​TCM pulse diagnosis system simulates TCM pulse diagnosis through a sensor array and analyzes pulse changes using a machine learning model to provide TCM diagnosis. The meridian therapy instrument and electrotherapy instrument stimulate specific areas with electrical pulses, and the treatment intensity is adjusted using a sensor feedback system. The automated medical management and data transmission system includes a data acquisition and transmission system. The medical data collected by the equipment is transmitted in real time to the hospital's central database via a wireless communication protocol. Patient information, vital signs, and imaging data are analyzed using big data and AI and transmitted to a big data platform. AI models then analyze and compare these data to provide precise diagnosis and personalized treatment. Through automated feedback and command transmission, the system automatically sends commands to relevant devices based on the analysis results to initiate drug delivery, treatment, or emergency procedures. The monitoring and emergency equipment includes a ventilator, emergency equipment, an ice bed, and an ice head cover; the ventilator and emergency equipment are combined with an intelligent monitoring system to automatically start the ventilator, defibrillator, and other equipment in emergency situations, and guide medical staff to perform emergency operations through voice prompts; the ice bed and ice head cover are combined with a temperature control system for use in hot weather or emergency treatment scenarios, and control the patient's body temperature by adjusting the temperature. The aforementioned main equipment and supporting medical equipment are integrated with national approval and directly designed into AI doctors and AI intelligent devices.

4. The operation method and business model of an AI hospital and AI diagnosis, prescription, and dispensing as described in claim 1, characterized in that, The AI ​​hospital includes departments such as internal medicine, surgery, obstetrics and gynecology, pediatrics, dentistry, ophthalmology, dermatology, anesthesiology, rehabilitation, preventive healthcare, pharmacy, laboratory, radiology, blood transfusion, nuclear medicine, physiotherapy, sterilization supply center, operating room, medical records room, nutrition department, as well as beds and monitoring rooms, emergency room, oxygen supply room and its equipped departments, traditional Chinese medicine department, infectious disease department, general practice department, etc., and departments equipped according to national hospital standards; the above-mentioned departments can be integrated with national approval, and the department design can be directly merged or designed into AI doctors and smart devices.

5. The operation method and business model of an AI hospital and AI diagnosis, prescription, and dispensing as described in claim 1, characterized in that, AI hospitals include AI hospital monitoring and control systems, the multifunctionality and automation of AI robot doctors, living and service facilities, and energy and infrastructure support. The AI ​​hospital monitoring and control system ensures the safe and standardized operation of all equipment within the AI ​​hospital and complies with national medical equipment regulations. It guarantees medical quality and the correct use of equipment through remote monitoring and real-time surveillance. The AI-powered hospital monitoring and control system includes an intelligent video surveillance system, remote operation and control. The intelligent video monitoring system is equipped with ordinary visual recognition, action standard recognition, and multi-angle and multi-form recognition. The monitoring control room is equipped with high-resolution HD cameras and uses video analysis technology to monitor whether the operations of AI robot doctors and AI nurses comply with regulations. The ordinary visual recognition is used to monitor the interaction between AI robot doctors and patients in real time and identify whether the procedures are followed. The action standard recognition, based on AI image processing technology, determines whether the AI ​​robot doctor is correctly performing diagnostic and treatment operations. The multi-angle and multi-form recognition uses multi-angle cameras to ensure comprehensive monitoring and supports technologies such as 3D posture recognition to ensure the standardization of AI robot doctor's actions. The remote operation and control system allows human doctors or nurses to view the operation of the AI ​​robot in real time through a remote medical platform and pause or adjust the robot's operation when necessary. The control system includes an instant alarm system; if the AI ​​robot does not operate according to regulations, the system automatically pushes information to human supervisors, who can directly adjust the robot's operation through the control console. The monitoring center can connect to the AI ​​robot management system, allowing human doctors to control the robot's operation and provide diagnostic and treatment corrections in abnormal situations. The AI ​​hospital monitoring and control system also includes a standardized operation and automatic correction system. Equipped with a standardized operation database, the robot doctor operates based on historical treatment data, medical literature, and clinical cases through an internal AI large-scale model system. The system's built-in standardized operation database records and compares the AI ​​robot's actual operations to ensure it follows the correct treatment process. Real-time data analysis and feedback are also provided; the AI ​​backend server collects all data during the AI ​​robot doctor's execution process, performs real-time analysis, and provides automatic correction functions through big data analysis and AI algorithms when problems are detected. The system can automatically adjust the AI ​​robot's operating mode based on error type, treatment process, and medical records to ensure the correctness of treatment. The AI ​​robot doctor boasts versatility and automation. Beyond diagnostic and treatment functions, it can perform a variety of tasks, including nursing, laboratory work, pharmacy medication management, surgery, disinfection, and general labor, enhancing the automation level of the AI ​​hospital. It also features self-disinfection and hospital environment cleaning capabilities. The AI ​​robot doctor can provide daily patient care, checking vital signs, administering medication, and monitoring patient status. It integrates an automated medication dispensing system, allowing it to automatically retrieve medications from electronic prescriptions and deliver them to patients. The AI ​​robot doctor can perform routine examinations such as ultrasound, blood glucose testing, and CT scans, and integrates a medical image acquisition system. It can assist in minimally invasive or robotic surgical procedures, performing precise cutting and suturing. Equipped with ultraviolet disinfection lamps and a spray disinfection system, it automatically disinfects wards, operating rooms, and public areas. Furthermore, its floor cleaning function automatically cleans ward floors and corridors, ensuring environmental hygiene. The AI ​​robot doctor can also integrate with other intelligent medical devices, such as tools, examination equipment, laboratory equipment, treatment equipment, rehabilitation equipment, surgical equipment, oxygen supply equipment, and other related equipment. The AI ​​robot doctor can control, monitor, and manage these devices. When integrated with surgical equipment, the AI ​​robot doctor controls surgical instruments to perform surgical cutting, suturing, and other operations, providing precise assistance. When integrated with oxygen supply equipment, the robot automatically adjusts the oxygen concentration and supplies oxygen according to the patient's needs. The living and service facilities of the AI ​​hospital should meet the living needs of patients and their companions, including intelligent facilities and environmental control, living service areas, intelligent auxiliary equipment, and energy and facility support. The intelligent facilities and environmental control system includes a temperature and humidity control system, an air purification system, and an intelligent lighting system. The temperature and humidity control system monitors and adjusts the temperature and humidity within the hospital in real time through monitoring equipment to ensure a comfortable medical environment. The intelligent air conditioning system automatically adjusts according to different areas such as wards and operating rooms. The air purification system is equipped with air filters and negative ion air purifiers to purify the air in the wards in real time and prevent cross-infection. The intelligent lighting system automatically adjusts the brightness of the lights in the room using sensors and light sensors, adjusting the brightness according to the patient's needs. The living service area includes an AI restaurant and an automated smart restaurant, a health rehabilitation area and an entertainment and leisure area, as well as supporting living facilities; the AI ​​restaurant and the automated smart restaurant include an automated ordering system and an automated food delivery system; the automated ordering system allows patients and medical staff to select meals through a touch screen or voice control; the automated food delivery system delivers meals directly to patients' wards via a robot delivery system. The health rehabilitation area and recreational area include rehabilitation exercise equipment and a recreational park space; the rehabilitation exercise equipment includes intelligent treadmills and virtual reality rehabilitation training equipment to help patients perform exercise therapy during rehabilitation; the recreational park space is equipped with an intelligent guidance system, allowing patients to walk in the hospital's green spaces or gardens and enjoy a relaxing environment. The amenities include a tea bar, a coffee bar, a convenience store, and a supermarket. The intelligent auxiliary equipment includes automatic water supply and drinking water management and intelligent seats. The automatic water supply and drinking water management system automatically detects water quality and provides clean drinking water to wards, rest areas, etc. on a regular basis through an intelligent water equipment system. The intelligent seats are equipped with wireless charging, heating and massage functions to provide a comfortable resting environment for patients and their companions. The energy and facility protection includes a voltage stabilizer, an intelligent water management system, and a fire protection system. The power supply and voltage stabilizer adopt an uninterruptible power supply system and a voltage stabilizer to ensure that all equipment in the hospital can operate normally in the event of a sudden power outage. The intelligent water management system realizes the efficient use and conservation of water resources within the hospital and monitors water pressure, water flow, etc. The fire protection system, an intelligent fire detection and alarm system, includes smoke detectors and an automatic fire extinguishing system to ensure the safety of the hospital.

6. The operation method and business model of an AI hospital and AI diagnosis, prescription, and dispensing as described in claim 1, characterized in that, The AI ​​hospital also includes an equipment control and management center and a system control center, medical equipment and its functional integration, AI robot doctor and intelligent equipment control, data processing and big data analysis system, and power supply and charging system; The equipment control and management center and system management center include a medical equipment management system and equipment self-testing and automatic repair functions. The medical equipment management system has an integrated control platform and a medical equipment allocation and coordination system. The integrated control platform uses IoT technology to connect all medical equipment to the central management platform. Each device is equipped with a smart tag for real-time tracking of device status, location, and performance data. The control platform adopts a distributed architecture, supporting simultaneous control and monitoring of multiple devices. The equipment management center exchanges data, controls, and schedules equipment through API interfaces. Through a real-time data monitoring system, the operating status of the equipment is automatically recorded, and abnormalities are detected. The system triggers an alarm to notify manual intervention. The medical equipment allocation and coordination system uses an AI scheduling system to predict equipment usage frequency and maintenance cycles through big data analysis and machine learning models, intelligently scheduling equipment usage. The equipment self-check and automatic repair functions include a self-check system and an automatic repair mechanism. The self-check system has an embedded self-check module in each device, monitoring equipment status in real time and detecting faults or non-standard operation. The device performs self-checks through the embedded control system and feeds back to the management platform. The automatic repair mechanism uses machine learning algorithms; AI can analyze the causes of equipment failures and automatically propose repair suggestions or initiate automatic repair programs based on historical data and equipment manuals. The medical equipment and its functional integration: All medical equipment, such as ventilators, blood glucose meters, X-ray machines, and CT scanners, adopt a modular design, which can be flexibly combined according to the needs of the AI ​​hospital; each module can work independently or work collaboratively as a whole device; blood glucose meters, blood pressure monitors, pulse oximeters, etc., can be integrated into the arm or control console of the AI ​​robot doctor to form a multi-functional integrated device; after the AI ​​robot doctor is integrated with the above-mentioned equipment, it integrates the functions of the above-mentioned equipment. The AI ​​robot doctor itself is equipped with multiple functional modules, such as detection sensors, cameras, and processing units, etc. The AI ​​robot doctor can control and execute various medical operations as needed, such as blood glucose testing, electrocardiogram testing, and X-ray imaging; each medical device is equipped with an adjustable and movable support frame to realize the lifting, lowering, left and right movement of the device. The support frame is equipped with an electric drive system and a hydraulic system, which can move the device freely as needed, making it convenient for doctors and nurses to transfer the device between different areas; The support frame design ensures the stability and accuracy of the equipment during operation, and can maintain a stable operating environment for precision equipment such as CT scanners and X-ray machines. The AI ​​robot doctor, controlled by intelligent devices, can perform multiple tasks. It not only performs routine diagnostic functions but can also act as a nurse, pharmacist, and laboratory technician. Through modular design, the robot can switch between different functional modules as needed. When a patient requires blood glucose testing, the robot activates its built-in blood glucose meter module to take a measurement and synchronizes the data with the doctor's AI system in real time. The AI ​​robot doctor can also collaborate with other devices such as ventilators, drug management systems, and surgical robots to ensure the efficient execution of medical tasks. The AI ​​robot doctor can walk and perform tasks freely. It possesses independent walking capabilities, using built-in LiDAR, cameras, and sensors to perceive its environment in real time, enabling obstacle avoidance and autonomous navigation. The robot doctor's joints are motor-controlled, allowing for precise adjustment of movements and complex operations such as medical examinations, injections, and nursing care. Each joint is equipped with a force feedback system to ensure accurate and safe movements. The AI ​​robot doctor is equipped with multiple high-definition cameras for visual recognition, dynamically adjusting based on patient symptoms and feedback. It also integrates speech recognition and synthesis technology, enabling natural language communication with patients. Languages ​​include Chinese, English, and various languages ​​from around the world, as well as local dialects and minority languages ​​such as Minnan and Cantonese. The AI ​​robot doctor has a built-in high-performance AI chip for local computation and real-time decision-making. This chip processes information from speech, vision, and sensor data, and reacts based on the analysis results. The data processing and big data analysis system includes data storage and processing, image processing and verification, and equipment control and automatic feedback. Data storage and processing include equipment data storage and cloud computing, and big data analysis and optimization. In the equipment data storage and cloud computing, data from all medical devices, such as temperature, blood pressure, and blood sugar, are transmitted in real-time to the central database via sensors. Data can be stored locally or in the cloud, and distributed storage technology ensures efficient and secure data management. The data storage system uses an AI database management system to classify and store different types of medical data, including case records, test results, and image data. Based on the frequency and importance of data usage, the AI ​​database management system can divide data into multiple levels for storage, including hot data, cold data, and archived data, and includes data encryption and privacy protection. In the big data analysis and optimization, AI algorithms and big data models analyze historical case data to help doctors predict diseases, optimize treatment plans, and allocate medical resources. The AI ​​system automatically optimizes the treatment process and equipment scheduling based on historical data to improve diagnostic and treatment efficiency. Machine learning algorithms are used for in-depth analysis of medical data, including disease diagnosis, risk assessment, and drug response, to form personalized medical plans. The image processing and verification process uses deep learning algorithms to analyze medical images, automatically identify lesion areas in X-ray and CT scan images, and verify them against the doctor's diagnosis. The image recognition results are then displayed to the doctor through the image verification system to help the doctor make an accurate diagnosis. The equipment control and automation feedback system is equipped with a real-time control system and feedback and optimization mechanisms. Each device in the real-time control system is equipped with an electronic control system, PCB circuit board, electronic components, chips, communication modules, and embedded microcontrollers, connected to the central management system's backend server to achieve automatic adjustment and remote control. When equipment malfunctions, the system automatically adjusts and sends commands for equipment repair or adjustment via remote control. The backend management system is responsible for the scheduling of AI hospital resources, equipment monitoring, and patient information management, including an AI hospital platform, an equipment monitoring platform, and equipment fault diagnosis and prediction. The AI ​​hospital platform provides user role management and permission allocation functions, supporting access control for administrators, doctors, nurses, and patients. The equipment monitoring platform uses IoT technology to monitor equipment status in real time, including on / off status, battery level, and operational health. The system issues alarms based on equipment status to remind maintenance personnel to inspect or repair. The equipment fault diagnosis and prediction system combines artificial intelligence and machine learning algorithms to analyze historical data and predict potential equipment failure risks, and implements automated maintenance plans. The power supply and charging system is equipped with automatic charging modules for all equipment and robots, allowing them to charge automatically via wireless charging or plug-in charging. The battery management system ensures that the batteries of the equipment are in optimal condition, preventing work interruptions due to insufficient power. The hospital's power system is equipped with voltage stabilizers and uninterruptible power supplies to ensure that the equipment continues to operate in the event of power fluctuations or power outages.

7. The operation method and business model of an AI hospital and AI diagnosis, prescription, and dispensing as described in claim 1, characterized in that, The AI ​​robot doctor is equipped with a support frame, robotic arms, and autonomous navigation. It can be integrated with medical equipment and has a control system and a self-testing system. The AI ​​robot doctor's support frame is equipped with a motor and hydraulic system to support its stable movement. The AI ​​robot doctor is equipped with replaceable robotic arms, each with multiple joint drives, enabling precise grasping, cutting, and suturing tasks. The robotic arms support multiple modular accessories, including scalpels, laser scalpels, and suction devices. The AI ​​robot doctor has built-in LiDAR and visual sensors, combined with simultaneous localization and mapping (SLAM) technology, allowing it to move freely and avoid obstacles within the hospital. The AI ​​robot doctor can be integrated with medical devices. The AI ​​doctor robot can be equipped with different medical device modules, such as blood glucose meters, electrocardiographs, and microscopes, to perform various diagnostic and treatment tasks. The robot can adapt to different medical scenarios by automatically recognizing the device status and automatically adjusting the device parameters. The medical devices are connected through wireless communication or hard access interfaces for data interaction and control. Data is exchanged with the AI ​​doctor robot through IoT protocols to ensure that the robot can control and operate these devices. The AI ​​robotic surgeon can be integrated with surgical equipment. Equipped with a high-precision microscope and integrated surgical instruments, it can perform delicate surgical procedures, including ophthalmic and neurosurgical surgeries. The microscope features a built-in autofocus system and image enhancement technology to ensure high resolution and real-time imaging. It is also equipped with high-frequency electrocautery, electroscalpels, and electrocautery devices, which are precisely operated through a robotic control system with intelligent adjustment functions to ensure stability and safety during operation. Furthermore, it is equipped with a pathology slicer and an ultra-high-frequency electrosurgical unit. The pathology slicer can be operated by the AI ​​robotic surgeon's arm to perform precise pathology sectioning tasks, cutting samples to a specified thickness and preparing them for pathological analysis. The ultra-high-frequency electrosurgical unit, controlled by the robot, precisely performs surgeries such as tumor resection and tissue coagulation by controlling the frequency and energy output of the electromagnetic waves. The AI ​​robot doctor can be integrated with diagnostic equipment, including an illumination imaging and imaging system and a blood glucose monitoring and vital sign detection system. The illumination imaging and imaging system incorporates a high-resolution lighting system to capture clear images, making it particularly suitable for endoscopic examinations and examinations of skin lesions. Combined with an AI image analysis system, it can assist doctors in diagnosis. The blood glucose monitoring and vital sign detection system includes a built-in blood glucose meter, blood pressure monitor, and pulse meter, enabling real-time monitoring of the patient's blood glucose, blood pressure, pulse, and other data, which is then uploaded to the hospital's medical cloud platform. Through sensor fusion, the robot can simultaneously measure multiple vital signs, automatically generate reports, and provide a preliminary diagnosis. The AI ​​robot doctor can be integrated with imaging diagnostic and examination equipment, including X-ray and CT scans, and MRI and cancer cell detection. For X-ray and CT scans, the robot can control the X-ray machine and CT scanner to perform imaging, automatically adjusting imaging parameters to obtain optimal images. AI image recognition can be used, and the scan results are analyzed through AI algorithms to automatically mark possible abnormal areas and generate diagnostic reports. For MRI and cancer cell detection, the MRI is operated by the AI ​​robot doctor, combining high-field magnets and advanced scanning technology for detailed examinations of tumors, the nervous system, etc. It is also equipped with a cancer cell detector; through high-precision biosensors, the AI ​​robot doctor can identify cancer cells in the blood and perform rapid analysis and diagnosis. The AI ​​robot doctor can be integrated with automated laboratory equipment, including automated blood collection and testing machines, and automated bone analyzers and pulse oximeters. The automated blood collection and testing machines allow the AI ​​robot doctor to automatically collect and analyze blood samples, which are then automatically sent to the laboratory for further testing. The automated blood testing equipment can analyze multiple indicators such as complete blood count, blood glucose, and blood lipids; the robot can control the testing equipment and process the results. The automated bone analyzer and pulse oximeter allow the AI ​​robot doctor to operate a bone density analyzer for rapid and accurate bone health checks, identifying issues such as fractures and osteoporosis. The pulse oximeter collects data through sensors, and the AI ​​robot doctor monitors and analyzes the patient's pulse in real time to predict cardiovascular health problems. The AI ​​robot doctor can be integrated with cardiac imaging and advanced diagnostic and treatment equipment, including cardiac imaging equipment and electroencephalography (EEG) equipment. With the cardiac imaging equipment, the AI ​​robot doctor can operate the equipment, providing doctors with a three-dimensional model of the heart to assist in the accurate diagnosis and treatment of coronary artery and heart valve problems. With the EEG equipment, the AI ​​robot doctor can be equipped with an EEG device to monitor the patient's brain activity in real time and diagnose neurological diseases such as epilepsy and insomnia. The AI ​​algorithm combines EEG data to automatically analyze and generate reports. The AI ​​robot doctor is equipped with a control system and a self-diagnostic system. The embedded operating system controls its movements, equipment scheduling, image analysis, and other functions. The operating system integrates adaptive control algorithms to ensure that the robot can accurately perform tasks in a changing medical environment. Through a cloud-based remote control platform or local AI control, doctors can dispatch the robot to perform different medical tasks in real time, such as surgery, examinations, or nursing care. The AI ​​robot doctor has an embedded self-diagnostic module that regularly checks its hardware status, software operation, and equipment access status. Whenever a fault or potential problem is detected, the system will automatically report and issue a maintenance command. Each medical device can be automatically calibrated through the AI ​​system to ensure that the device is always in optimal working condition.

8. The operation method and business model of an AI hospital and AI diagnosis, prescription, and dispensing as described in claim 1, characterized in that, The AI ​​hospital also involves a fully automated process from automatic collection and analysis of patient information, treatment, prescription writing to subsequent long-term health management, including information collection, intelligent diagnosis, prescription generation and drug retrieval, and long-term health data management. The information collection utilizes an automated chair for automatic data entry. Upon entering the AI ​​hospital, patients or individuals registered using the AI-equipped automated chair, which features a touchscreen display and a facial recognition camera. The camera scans the patient's face, automatically identifying them using facial recognition technology. Patients input personal information on the display screen, such as name, gender, height, weight, blood type, age, ID number, and contact information, or interact with the AI ​​system via voice input. This information is automatically stored in a cloud database for future diagnosis and treatment. Patients can provide family information, such as names, contact information, and relationships, which is then linked and stored by the AI ​​system to ensure the completeness and accuracy of medical information. Once the information is entered, the AI ​​database stores the patient's complete information and generates an electronic health record. During subsequent visits, the AI ​​system automatically identifies the patient through facial recognition and identity information matching, avoiding duplicate data entry. The system automatically records changes in the patient's health and disease progression based on big data analysis, updating the records with each visit to maintain their current status. As the patient ages, the AI ​​model automatically updates the patient's information. Each time the patient enters the hospital, the AI ​​system optimizes the treatment plan by updating information such as age, weight, and health status. The intelligent diagnosis involves the AI ​​system collecting the patient's health data, such as gait recognition, facial expression, and movement, and analyzing the patient's physical condition using computer vision and deep learning models. Combined with historical medical data, the AI ​​system provides preliminary diagnostic suggestions to help doctors determine the condition. A big data model comprehensively analyzes the patient's physiological data, such as body temperature, blood pressure, and heart rate, as well as lifestyle habits, and combines this with data from a cloud computing platform to derive the symptoms, onset time, possible causes, and disease progression. Based on the patient's data, the AI ​​system predicts the disease's progression and generates medication recommendations. Simultaneously, based on the patient's historical medication records and big data analysis, it predicts the patient's recovery time, required costs, dietary therapy methods, and provides personalized treatment plans. Cell analysis and DNA sequencing are also used to prescribe medications. The prescription generation and drug retrieval process involves an AI-powered robotic doctor automatically generating an electronic prescription based on the diagnosis and condition analysis. The prescription includes detailed information such as drug name, dosage, usage, and course of treatment. The AI-powered robotic doctor also incorporates the patient's historical data, such as allergy records and drug interactions, for drug screening, and performs cell and DNA sequence analysis to ensure the safety and effectiveness of the prescribed medication. After confirming the prescription, the patient can complete payment via electronic payment systems such as Alipay, WeChat Pay, or bank card. Once payment is complete, the medication will be delivered to the patient through an intelligent drug delivery system. The system automatically generates a billing statement, including treatment fees, medication costs, and rehabilitation fees, which the patient can view in detail on the hospital platform. The AI ​​hospital is equipped with an automated drug distribution system. The AI-powered robotic doctor or intelligent devices automatically retrieve the corresponding medication from the pharmacy according to the prescription instructions and deliver it to the patient via an automated delivery system, such as an automated conveyor belt or robotic drug delivery system. This drug delivery system uses RFID tags and QR code technology to ensure the accuracy and safety of the medication. Drug information, such as batch number and expiration date, is automatically linked to the patient's prescription to ensure medication accuracy. The long-term health data management system automatically extracts historical records and updates patients' health records each time they enter the AI ​​hospital, ensuring the timeliness and accuracy of the data. All patient information, medical reports, treatment records, examination results, electronic prescriptions, etc., are stored in a cloud database or distributed storage system to ensure the reliability, durability, and accessibility of the data. All patients' personal information and health data are encrypted to ensure data security. During transmission, encryption protocols are used to ensure data privacy. Patients can set personal passwords and access their health data through dual authentication or biometric authentication (such as facial recognition or fingerprint recognition). Patients can also authorize third parties, such as family members or designated medical experts, to view their data. AI robot doctors will automatically generate electronic medical records and electronic prescriptions based on patients' health data. These reports can be viewed through the patient health management platform, and patients can access, download, or print their personal health reports at any time. Patients can authorize family members or other medical professionals to view their health reports, ensuring information sharing and collaborative treatment. Through secure access control, patients can choose which third parties are allowed to access their health data.

9. The operation method and business model of an AI hospital and AI diagnosis, prescription, and dispensing as described in claim 1, characterized in that, The AI ​​hospital includes an AI pharmacy equipped with drug racks and drug separation devices. The drug racks are designed with a multi-layered structure, with each layer allowing for categorized storage of drugs such as prescription drugs, over-the-counter drugs, and emergency medications. Each rack has a unique location code for accurate drug placement. The racks can be designed as fixed or mobile racks depending on the hospital's needs. Each drug's location number, category label, and type are identified using RFID tags, QR code scanning, and other technologies to ensure accurate drug placement and prevent confusion. The drug separation devices utilize automatic separation mechanisms on the racks to prevent confusion or cross-contamination between different categories or drugs. Electric lifting platforms or conveyor belts can be used to accurately separate drugs according to category, brand, and serial number. The AI ​​pharmacy is equipped with an AI robot dispensing and management system and a drug storage, retrieval, and verification monitoring system. The AI ​​robot dispensing and management system uses a robotic arm to automatically dispense drugs. The AI ​​robot uses a visual recognition system to identify the type, number, and location of the drugs, and then uses the robotic arm to accurately grasp the designated drugs. The robotic arm has a control system and is driven by a motor to perform precise grasping actions, ensuring that the drugs are not damaged. The robotic arm can rotate, move up and down, and move forward, backward, left, and right within a 0-360 degree range to ensure smooth drug grasping and placement. The AI ​​robot is equipped with drug recognition; through cameras mounted on the robotic arm, the system uses image recognition algorithms to identify drugs. These cameras synchronize with a drug database to update the storage location and inventory of drugs in real time. The drug storage, retrieval, and verification monitoring system uses high-definition cameras installed on the drug shelves to monitor the quantity and status of drugs in real time. These cameras are not only used for verifying drug storage and retrieval but also to ensure that drugs are stored and retrieved according to standardized procedures. The camera records the quantity of medicines stored and taken out in real time, and compares the data with the back-end database through data analysis to ensure the accuracy of medicine inventory; The AI ​​pharmacy also features an intelligent drug management system, a drug database, a drug delivery system, and a drug verification system. The intelligent drug management system is equipped with an intelligent drug management platform that uses an AI-powered large-scale model database to manage drug storage, classification, usage, and expiration reminders. All drug information, such as drug name, category, manufacturer, and storage location, is synchronized to the database system in real time. When drug inventory changes, the AI ​​system automatically reminds pharmacy staff to replenish or update drugs to prevent shortages or expiration. The drug management platform is connected to a cloud computing platform to ensure efficient data storage and real-time updates. The drug database can be integrated with the AI ​​large-scale model. Built upon a large AI model database, the intelligent drug management system provides detailed data on drugs, such as instructions for use, indications, and pharmacological effects. Information on each drug can be intelligently matched with patient health data and clinical treatment plans, providing doctors with accurate medication recommendations. Through sensors, cameras, and recognition devices on drug shelves, drug information is transmitted to the AI ​​model database in real time, updating information such as storage location and usage status to ensure efficient drug management. Drugs are delivered from the pharmacy to the patient's department or ward via an automated drug delivery system, ensuring accurate delivery. The drug verification system has a built-in verification mechanism, including drug quantity verification and drug type verification. All drug storage and retrieval data are compared with the drug list to ensure the accuracy of drug inventory and types. The AI ​​pharmacy's medicine placement rack also includes an intelligent placement rack. The intelligent placement rack has a multi-layered structure, with automatically moving tracks installed on top of or around each layer. These tracks enable automatic movement up, down, left, right, and forward / backward. Robotic arms that grasp or place medicines are mounted on the tracks. These robotic arms can move independently or follow the tracks. Each robotic arm is equipped with a camera and a system-controlled power mechanism. Specifically designed for grasping and placing medicines, the robotic arm features a multi-joint design, including one or more joints capable of lifting, lowering, flattening, and rotating 0-360 degrees. The robotic arm is equipped with multiple cameras, a visual recognition system, an intelligent feedback system, communication receivers, integrated circuitry, and chips. Using the intelligent feedback system, combined with the cameras and recognition devices, the robotic arm ensures that medicines are grasped and placed correctly according to the prescription.

10. The operation method and business model of an AI hospital and AI diagnosis, prescription, and dispensing as described in claim 9, characterized in that, The AI ​​pharmacy is a closed or isolated space equipped with doors and a ventilation system. The entrance uses automatic electronic or mechanical locks to ensure that only authorized personnel and AI robots with access obtained through an identity verification system can enter, guaranteeing pharmacy security. Medications are categorized and stored according to type, brand, and dosage, with each medication having a unique number. An intelligent identification system ensures medications are not mixed up. AI robots then automatically retrieve or move medications. Before delivery, the system uses a multi-checking mechanism to ensure consistency between the medication and the prescription. After medication retrieval, at least one set of devices works with the system to verify the retrieved medication and the patient. The system automatically compares the medication name, quantity, and dosage with the prescription information to ensure compliance. Once all checks are accurate and the verification is passed, the medication is delivered to the patient. If the medication does not match the prescription, the system immediately notifies the AI ​​robot to stop dispensing medication and sends an alert to the cloud management system. Human administrators can intervene through the console, which will pause the dispensing of medications. Human administrators can then manually verify the medications using an image recognition system or physical inspection to ensure accuracy. After successful verification, human administrators can authorize the dispensing of medications to the patient. The AI ​​pharmacy also collaborates with multiple departments to manage prescriptions, including those from various departments of traditional Chinese medicine and Western medicine, as well as prescriptions issued by AI doctors. AI doctors generate personalized prescriptions based on patients' diagnostic data, symptom descriptions, examination results, and historical medical records. During the AI ​​prescription generation process, the system combines patients' physiological data, allergy history, and other information to calculate and verify the prescription, ensuring that the medication is prescribed according to the patient's condition. All patients are managed by dedicated AI doctors to ensure the safety of the medications.

11. The operation method and business model of an AI hospital and AI diagnosis, prescription, and dispensing as described in claim 1, characterized in that, The AI ​​hospital integrates a human management and dispatch system with an AI robot control system. The entire AI hospital system combines automated operation with human intervention to ensure timely intervention in any unpredictable situation and the smooth operation of the AI ​​hospital. It includes a human management and dispatch room, a human dispatch and management system, an AI robot and equipment monitoring system, robot behavior monitoring and standardization, a human intervention and substitution mechanism, multiple control and security measures for the AI ​​hospital, and a global monitoring platform. The human management and dispatch room is equipped with a large-screen display system that shows the real-time working status of AI robots, the operating status of medical equipment, patient progress, and other information. The tasks of each department, the working status of AI doctors / nurses, drug inventory, medical equipment status, and treatment progress are all displayed in the dispatch room's information system. Dispatchers can view the task execution status of all AI robots through the interface, including whether there are any malfunctions, deviations from tasks, system alarms, etc. Dispatchers can receive real-time alarms from the AI ​​robot and equipment management system through the interface. Once a malfunction or non-compliance with operating procedures is detected in an AI robot or medical equipment, the dispatcher will immediately intervene manually. The manual dispatch and management system intelligently allocates tasks to the AI ​​robot based on actual needs. The system can automatically adjust task priorities based on factors such as emergency needs, departmental requirements, and doctor schedules. Manual dispatchers can also manually adjust tasks to ensure that critical tasks are prioritized. In case of unexpected or abnormal situations, the system will issue an alarm through the automatic warning system. Manual dispatchers can immediately view the alarm information and intervene. Dispatchers can control the AI ​​robot to pause its work or switch to manual operation mode through the interface to ensure that the medical process is not disturbed. The AI ​​robot and equipment monitoring system is equipped with an AI robot monitoring system and an automatic and manual control system. The AI ​​robot monitoring system monitors the work process of AI robot doctors, AI nurses, etc., through technologies such as cameras, sensors, and real-time data acquisition. The system can analyze the robot's work trajectory and whether its actions meet the standards in real time, and promptly detect and report abnormalities. The monitoring system collects data on robot behavior and analyzes it in combination with machine learning algorithms to ensure that the robot's behavior meets predetermined standards. The robot system can perform tasks in automatic mode, but once the monitoring system detects non-standard behavior, it will automatically switch to manual control mode and send an alarm to the manual dispatch management system. The robot behavior monitoring and standardization system equips each AI robot with multiple visual sensors, motion sensors, and environmental sensors to monitor its behavior in real time to ensure it conforms to the prescribed operating procedures. The monitoring system automatically compares the robot's behavior against preset standards to ensure accurate operation. The human intervention and substitution mechanism automatically pauses the robot's operation and transfers it to human control or another robot when the robot malfunctions or operates improperly. During this process, a human dispatcher can take over the robot's task through the remote control system to ensure uninterrupted medical services. The AI ​​hospital's multi-layered control and security system includes a separate control system and a multi-level security control system. The separate control system, comprising the AI ​​robot control system and the manual management and scheduling system, are two independent systems to ensure no interference between them. The AI ​​robot control system is primarily responsible for robot operation monitoring and task allocation, while the manual management and scheduling system is responsible for overall scheduling, resource allocation, alarms, and intervention. The multi-level security control system includes multi-level access control to ensure that only authorized personnel can perform important operations and interventions. The permissions of dispatchers, doctors, and administrators are controlled through an identity verification system to ensure the security and compliance of operations. The global monitoring platform will transmit information from all AI robots, equipment, surveillance cameras, sensors, etc., to the human management and dispatch room in real time through a large screen display system or mobile device platform. Dispatchers can view the equipment status, robot working status, patient progress, etc. in all departments through the platform and make manual interventions or resource allocations.

12. The operation method and business model of an AI hospital and AI diagnosis, prescription, and dispensing as described in claim 1, characterized in that, The aforementioned fee items and business model:

1. Definition of Fee Items A. Registration Fee: When patients register at the AI ​​hospital, they need to pay a registration fee, which usually includes the cost of system registration, patient information collection, and initial consultation with the AI ​​doctor. This fee can be a fixed amount or vary depending on the department and the doctor's level of expertise. B. Diagnosis fee: The fee charged by the AI ​​robot doctor when providing diagnosis to patients. This includes intelligent diagnosis through AI models and machine learning analysis of patient symptoms, medical history and examination data. C. Testing / Examination Fees: Fees will be charged for any laboratory tests performed, such as blood tests, imaging examinations, ultrasound, CT, MRI, etc. D. Treatment / Surgery Fees: This includes the cost of treatment or surgery performed by the AI ​​robot, depending on the specific type of treatment and the complexity of the surgery. E. Bed Fee: If the patient needs to be hospitalized, the bed fee will be charged according to the type of ward and the number of days of hospitalization. F. Medication Costs: Patients pay for medications after obtaining a prescription through the AI ​​system. This includes the cost of purchasing and delivering the medications. G. Medical records and health system management fees: including fees for services such as patient health management, electronic medical records, and long-term health tracking; H. Membership and Regular Health Management Fees: If patients choose the AI ​​Hospital's membership service, they will be charged an annual or quarterly membership fee to enjoy regular health checkups and continuous health management services. I. Inpatient meal expenses: The cost of meals required by the patient during hospitalization, charged according to the type of meal and the number of meals; AI Hospital Payment Process and Methods A. Membership Fees: After a patient chooses to join the hospital's membership system, the AI ​​hospital system will generate a membership account for the patient. The account stores the fees for regular payments. Members can pay their regular health management fees in advance. Membership fees can be paid via bank transfer, credit card, or online payment platforms such as WeChat and Alipay, and automatic deductions can be set up. B. Social Security Card Payment: Patients can use their social security card to pay for part of their medical expenses, especially for medical services covered by the government or social security system, such as routine examinations and some medications; C. Patient bank card payment: Patients and their families can make payments via bank card, covering registration fees, diagnosis fees, treatment fees, etc. D. Third-party payment platforms: Patients and their families can settle payments through third-party payment platforms such as WeChat and Alipay, which support fast payment and electronic invoice generation; 3. Business and Profit Model A. Service Fees: Profits are generated through various fee items such as registration fees, diagnosis fees, treatment fees, medication fees, and hospitalization fees; B. Membership Revenue: The hospital collects membership fees through services such as health management, regular physical examinations, and exclusive services to ensure a stable long-term income. C. Data and Analytics Services: By aggregating health data and using an AI analytics platform, we provide these services to medical research institutions, pharmaceutical companies, and other businesses, thereby generating additional revenue streams. D. Online medical services: Expand remote medical services, allowing patients to make appointments for medical treatment and purchase medicines through APP, website and other channels to attract more patients to participate; E. Cross-regional cooperation: Collaborate with other medical institutions, insurance companies, and enterprises to provide cooperative medical services and increase the hospital's market share.

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