Hospital night on-duty service robot inspection system

Abstract

The invention provides a service robot inspection system for hospital night duty, and relates to the technical field of robots, and the system comprises analysis early warning response software which collects multi-modal information according to a set frequency, recognizes abnormity and carries out early warning; the AI agent printing equipment can analyze the patient voice instruction, generate a medical record and send the medical record to a patient mailbox; the health state self-service detection equipment provides self-service health detection and supplies first-aid medicines in an emergency; the material distribution equipment is specially used for distribution and storage of medical care and patient articles, medicines and food; the intelligent patient infusion monitoring device monitors the flow rate and dosage of drip in real time; the visitor management software is responsible for management of floor duty, hospital admission and discharge of patients, visitor registration and the like; the consultation question and answer software provides customized inquiry authority based on the user identity; the safety risk analysis early warning software establishes a risk model, monitors a hospital scene in real time and predicts risks.

Description

Technical Field

[0001] The invention relates to the technical field of robots, and in particular to a service robot inspection system for night shifts in a hospital. Background Art

[0002] In recent years, the medical robot industry has developed rapidly, and robots and medical artificial intelligence have made significant breakthroughs in basic theory, key technologies and innovative applications. New technologies and products such as artificial intelligence-assisted diagnosis systems, 5G-based remote surgical robots, and brain-computer interface-assisted rehabilitation systems continue to emerge and are accelerating their clinical applications. Equipment such as surgical robots, dispensing robots, and capsule robots have developed relatively maturely and have been widely used. However, medical service robot systems that provide comprehensive management functions in specific scenarios such as ward inspections, personalized patient services, material distribution, and duty management are still in the research and development and exploration stage.

[0003] Currently, medical service robots have been gradually applied in hospitals, but their functions are mostly concentrated in simple services and information transmission, such as hospital publicity, basic question-and-answer interaction, and delivery of medicines and supplies. Some robots have basic voice interaction and path planning capabilities.

[0004] However, most existing medical robot systems operate independently, and there is still much room for improvement in terms of interaction, perception, flexible operation, and accurate meeting of clinical needs. Existing medical robot systems are difficult to effectively integrate with the hospital's electronic medical record system, medical management system and other subsystems, resulting in their inability to provide comprehensive and personalized medical services, limiting the robots' more comprehensive auxiliary role in the clinical environment. Summary of the invention

[0005] In order to solve the problem that most existing medical robot systems operate independently, there is still a lot of room for improvement in terms of interaction ability, perception ability, flexible operation and accurate meeting of clinical needs. The existing medical robot system is difficult to effectively integrate with the hospital's electronic medical record system, medical management system and other subsystems, resulting in its inability to provide comprehensive and personalized medical services, which limits the robot's more comprehensive auxiliary role in the clinical environment. The present invention provides a service robot inspection system for night shifts in hospitals.

[0006] The technical solution provided by the embodiment of the present invention is as follows: A service robot inspection system for night shifts in a hospital provided in an embodiment of the present invention includes: early warning response software that calls a robot API interface to collect and analyze multimodal information of the robot, an AI intelligent printing device, a self-service detection device for the health status of patients, a material distribution device that can classify and carry items, an intelligent monitoring device for the infusion status of patients, intelligent management software for visitors, a full-process tracking service software for inpatients, a consulting question-and-answer software that accesses a large medical model and calls a self-built knowledge system of the hospital, and a potential safety risk analysis and early warning software for the hospital that initiates an emergency plan based on an emergency model; The software that calls the robot API interface to collect and analyze the robot's multimodal information and respond to early warnings is used to collect multimodal information for the local multimodal data center at a preset frequency, identify abnormal situations by analyzing the multimodal information, and issue early warnings for abnormal situations; The AI ​​intelligent printing device is used to analyze the patient's voice commands and identify his intentions, print the test report form and personal medical records provided by the hospital for the user, and output the test report form and personal medical records to the patient's mailbox; The patient health status self-service detection device is used to provide patients with self-service detection of blood sugar, blood pressure, blood oxygen, heart rate, blood lipids and body temperature health status data, store the health status data in the detection record, print the detection record through the AI ​​intelligent printing device, and supply emergency medicines and supplies through the emergency medicines and supplies parts according to the needs of patients; The material distribution equipment capable of carrying classified items is used for the distribution and temporary storage of special items between medical staff and patients, patient medicines, patient food and regular supplies; The intelligent patient infusion status monitoring device is used to calculate the amount of drip used, the remaining drip amount and the drip liquid flow rate according to the gravity sensor data; The visitor intelligent management software is used to maintain the hospital floor duty personnel schedule, patient admission and discharge information table, visitor registration table and stranger information table; The inpatient full-process tracking service software is used to record the diagnosis and treatment plan of each patient after admission, and to track and inspect the diagnosis and treatment situation by retrieving the hospital business system data, and remind the doctor or patient to change the medicine or remove the needle; The consulting question-and-answer software accessing the medical big model and calling the hospital's self-built knowledge system is used to identify the user's identity and provide different inquiry permissions according to the identity; The hospital potential safety risk analysis and early warning software for launching emergency plans based on emergency models is used to establish a hospital risk model, compare the real-time scene of the hospital site, and estimate the risks.

[0007] The beneficial effects brought about by the technical solution provided by the embodiment of the present invention include at least: (1) In the present invention, the problems of independent operation, insufficient interaction and perception capabilities, limited flexible operation and poor clinical adaptability of existing medical robots are solved through multi-module integration. Multimodal information collection and early warning response software realizes continuous data collection and abnormal early warning, and improves perception capabilities; AI intelligent printing and self-service detection equipment support voice analysis and health detection, enhancing personalized services; material distribution, intelligent infusion monitoring and patient tracking modules improve the flexible operation of material delivery, infusion monitoring and diagnosis and treatment tracking. The consultation question and answer and safety warning modules based on the medical big model provide personalized information support and emergency response, improve the integration and adaptability of the system in complex hospital scenarios, and realize intelligent multi-dimensional services.

[0008] (2) In the present invention, the multimodal information collection and early warning response module and the intelligent monitoring infusion status device enable the robot to share patient data in real time and improve the clinical monitoring effect; the inpatient tracking software is connected to the diagnosis and treatment system to automatically remind nursing operations and enhance the diagnosis and treatment auxiliary function; the AI ​​intelligent printing device and the consultation and question-answering software realize the synchronization and query of patient information and medical knowledge, and improve data circulation; the safety risk analysis module monitors the hospital environment in real time and supports emergency management. Through the integrated functions, the robot can realize multi-dimensional intelligent support in the hospital and better meet the comprehensive and personalized medical needs. BRIEF DESCRIPTION OF THE DRAWINGS

[0009] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0010] Figure 1 A schematic diagram of the structure of a service robot inspection system for night shifts in a hospital provided by an embodiment of the present invention; Figure 2 A schematic diagram of the overall structure of a service robot for night shifts in a hospital provided by an embodiment of the present invention; Figure 3 A schematic diagram of the background management function of a service robot inspection system for night shifts in a hospital provided by an embodiment of the present invention; Figure 4 A schematic diagram of a process flow of inspection data collection and early warning analysis of a service robot inspection system for night shifts in a hospital provided by an embodiment of the present invention; Figure 5 A schematic diagram of a device for intelligently monitoring the infusion status of a patient provided by an embodiment of the present invention Figure 6 A schematic diagram of a consultation and question-answering process of a service robot inspection system for night shifts in a hospital provided by an embodiment of the present invention Figure 7 A schematic diagram of a process of emergency risk identification and emergency plan response provided in an embodiment of the present invention.

[0011] [Reference Signs] Visual recognition component 1, robot head display component 2, robot rotatable neck 3, intelligent printing component 4, intelligent printing paper output device 5, auxiliary manipulator 6, self-service blood sugar detection component 7, self-service blood lipid detection component 8, self-service blood pressure detection component 9, self-service heart rate detection component 10, self-service body temperature detection component 11, self-service detection component 12, emergency oxygen inhalation component 13, emergency atomization component 14, emergency first aid component 15, special item delivery box between medical staff and patients 16, patient medicine delivery box 17, patient food delivery box 18, material delivery box 19. Early warning response software that calls the robot API interface to collect and analyze the robot's multimodal information. 21. AI intelligent printing equipment. 22. Self-service detection equipment for patients' health status. 23. Material distribution equipment that can classify and transport items. 24. Intelligent monitoring equipment for patients' infusion status. 25. Intelligent management software for visitors. 26. Service software for tracking the entire process of hospitalized patients. 27. Consulting and question-and-answer software that accesses large medical models and calls the hospital's self-built knowledge system. 28. Hospital potential safety risk analysis and early warning software that initiates emergency plans based on emergency models. 29. DETAILED DESCRIPTION

[0012] The technical solution of the present invention is described below in conjunction with the accompanying drawings.

[0013] In the embodiments of the present invention, words such as "exemplarily" and "for example" are used to indicate examples, illustrations or explanations. Any embodiment or design described as "example" in the present invention should not be interpreted as being more preferred or more advantageous than other embodiments or designs. Specifically, the use of the word "example" is intended to present the concept in a specific way. In addition, in the embodiments of the present invention, the meaning expressed by "and / or" can be both, or it can be either of the two.

[0014] In the embodiments of the present invention, "image" and "picture" can sometimes be used interchangeably. It should be noted that when the difference between them is not emphasized, the meanings they intend to express are the same. "of", "corresponding, relevant" and "corresponding" can sometimes be used interchangeably. It should be noted that when the difference between them is not emphasized, the meanings they intend to express are the same.

[0015] In the embodiments of the present invention, sometimes a subscript such as W1 may be written as a non-subscript such as W1. When the difference is not emphasized, the meanings to be expressed are the same.

[0016] In order to make the technical problems, technical solutions and advantages to be solved by the present invention more clear, a detailed description will be given below with reference to the accompanying drawings and specific embodiments.

[0017] Reference Manual Attached Figure 1 To the instruction manual Figure 7 .

[0018] The embodiment of the present invention provides a specific structure of a service robot inspection system for night shifts in a hospital, which may include: a visual recognition component 1, a robot head display component 2, a robot rotatable neck 3, an intelligent printing component 4, an intelligent printing paper output device 5, an auxiliary manipulator 6, a self-service blood sugar detection component 7, a self-service blood lipid detection component 8, a self-service blood pressure detection component 9, a self-service heart rate detection component 10, a self-service body temperature detection component 11, a self-service detection component 12, an emergency oxygen inhalation component 13, an emergency atomization component 14, an emergency first aid component 15, a special item delivery box between medical staff and patients 16, and a patient medicine delivery box 17. Box 17, patient food delivery box 18, material delivery box 19, early warning response software that calls the robot API interface to collect and analyze the robot's multimodal information 21, AI intelligent printing equipment 22, patient health status self-service detection equipment 23, material distribution equipment that can classify and carry items 24, intelligent monitoring of patient infusion status equipment 25, visitor intelligent management software 26, hospitalized patient full process tracking service software 27, consulting question and answer software that accesses medical large models and calls the hospital's self-built knowledge system 28, hospital potential safety risk analysis and early warning software that launches emergency plans based on emergency models 29.

[0019] An embodiment of the present invention provides a service robot inspection system for night shifts in a hospital, comprising: early warning response software 21 for calling the robot API interface to collect and analyze multimodal information of the robot, AI intelligent printing equipment 22, self-service detection equipment for patient health status 23, material distribution equipment 24 that can classify and carry items, intelligent monitoring equipment for patient infusion status 25, intelligent visitor management software 26, full-process tracking service software for hospitalized patients 27, consulting question-and-answer software 28 that accesses a large medical model and calls a hospital's self-built knowledge system, and hospital potential safety risk analysis and early warning software 29 that initiates an emergency plan based on an emergency model.

[0020] The software 21 that calls the robot API interface to collect and analyze the robot's multimodal information and issue an early warning response is used to collect multimodal information for the local multimodal data center at a preset frequency, identify abnormal situations by analyzing the multimodal information, and issue an early warning for abnormal situations.

[0021] Optionally, the software module 21 for collecting, analyzing and responding to the robot's multimodal information by calling various API interfaces of the robot: first, the software will register the connected robot, and at the same time register various API interfaces of this type of robot in a microservice manner, and set the callable personnel, callable time, data storage address, etc. of each API. Through this mechanism, the problems of data adaptation and collaborative management are solved; the software classifies the collected information into visual information, tactile information, auditory information, taste information and the robot's own posture information; the multimodal information is collected to the local multimodal data center at the set frequency, and submitted to the cloud according to the settings: key information such as control information and Identity recognition data is collected and transmitted in real time, while other data is first cached in the robot's memory, compressed in the robot's local system, and uploaded to the cloud in a specific transmission cycle. The cloud and the robot use a heartbeat mechanism to track and identify status, and the robot sends heartbeat information to the platform at a specific frequency to update the robot's status information in real time. Standards and trigger thresholds for abnormal and sudden information are set, and when the collected data exceeds the threshold, an early warning message is issued. The robot's internal status data is collected and tracked throughout the process in real time. The robot's three-dimensional simulation image is updated in real time through the real-time collected status data, and the robot's posture and status are presented online in the form of a digital twin.

[0022] For example, when the robot is moving or inspecting a bed in a ward, if someone calls the robot, the robot will use the camera to perform 360-degree identification of the calling person after hearing the call, and then perform facial recognition through the visual recognition component 1, retrieve facial comparison data from the background system, and determine whether the person is a patient. If there is no patient file data registered in the system, the robot will inquire whether the calling person is a patient, a caregiver, or other personnel. If it is a caregiver, the person will be prompted to identify the person being cared for. After confirmation, the system will associate the current person with the person being cared for and archive them; the robot then briefly introduces itself and asks the user if there is anything he or she can do to help.

[0023] It should be noted that people who have created files in the system, such as medical staff, accompanying personnel, and patients, can only use the robot's intelligent printing function, knowledge question and answer, and emergency first aid functions; if they are accompanying personnel or patients, they can use all functions.

[0024] The AI ​​intelligent printing device 22 is used to analyze the patient's voice commands and identify his intentions, and print the test report and personal medical record information provided by the hospital for the user through the intelligent printing component 4, output them through the intelligent printing paper output device 5, and output the test report and personal medical record information to the patient's mailbox.

[0025] Optionally, the printing device purchases a third-party printing module, which is installed at a specific position on the body, and is equipped with an external multi-function LCD display, which can be used to trigger printing tasks and track printing progress; a printing intelligent body is designed to parse and analyze user voice and recognize its intention; the intelligent body calls the corresponding API interface to print the test report provided by the hospital and other personal medical records, or relevant information of personal communication tools, or directly calls AI to intelligently generate documents after providing prompt words through voice; it can receive printing categories such as color or black and white, printing paper such as A4 or bills, printing direction such as horizontal or vertical, and number of copies, and the intelligent body analyzes the instructions and parses them into printing configuration parameters to execute printing; the print output result can be specified as paper or PDF or picture; if it is PDF or picture, it can be specified to be output to the mailbox of a designated person; when printing documents, the robot printing module will first perform a security check on the document to prevent viruses from being implanted in the system; every time the user prints, the printing device will take a photo and archive it for traceability; the print output can be set to disable filtering keywords, such as setting sensitive filtering keywords, so as to avoid printing sensitive information through this intelligent printing device, thereby causing information leakage.

[0026] For example, a nurse or patient requests the robot to print a test report. After receiving the instruction, the robot first searches the local database of the machine to see if there is a cached test report. If there is, it will be sent directly to the user's email or through the official account. If not, it will initiate an update of the test report data and make another judgment. If there is still no data, the user will be informed that no relevant data has been found, or that the current test report is not completed and please wait patiently.

[0027] It should be noted that when recognizing intent, after receiving voice input, the robot calls the voice recognition interface to convert the sound into text; then the robot's background API calls the intelligent agent, which first performs regularization and ambiguity elimination on the text from the user; then it recognizes it in combination with specific regular patterns, that is, different regular patterns, to determine the user's function call intention, such as self-service testing, emergency first aid, distribution of materials, printing of test reports, general knowledge questions and answers, querying specific patient information, querying and outputting ward or department personnel information, and querying the patient's infusion status; after the function call intention is recognized by the intelligent agent, the API returns the status of success, and then the intelligent agent continues to perform the function call according to the function category. , calling the corresponding thinking model, the present invention calls the iFlytek Spark Medical Model to further identify the specific function execution intention based on the understanding of medical professional terms and disease standard terms. After the function execution intention is identified, the execution API interface of the corresponding function execution intention is called, and the voice input text is used as a parameter to transfer to the execution API to respond to the intention call; if the function intention recognition returns false, it means that the function intention recognition fails, then enters the professional knowledge question and answer mode, this mode calls the medical professional model, such as the iFlytek Spark Medical Model, generates a response message, and converts it into voice and returns it to the user; if the call to the medical professional model fails, it enters the general knowledge question and answer mode, at this time, the ERNIE Speed-AppBuilder thinking model and question and answer model are called to generate a response message, which is converted into voice and returned to the user.

[0028] The patient health status self-service detection device 23 is used to provide patients with self-service detection of blood sugar, blood pressure, blood oxygen, heart rate, blood lipids and body temperature health status data, store the health status data in the detection record, print the detection record through the AI ​​intelligent body printing device, and supply emergency medicines and supplies through the emergency medicines and supplies components according to the patient's needs.

[0029] Optionally, a device for self-service detection of blood pressure, blood sugar, blood lipids, heart rate, body temperature and other routine items can be provided to the patient. A mechanical arm of the robot is combined with a modular health detection component to prompt the user how to operate through voice or video. When the patient needs to detect routine items, he first authorizes the robot and issues instructions, and under the guidance of the robot, he follows the robot's instructions to place the detection target in the designated area of ​​the robot detection device. The robot confirms whether the detection object is placed correctly and whether the operation is correct, and then starts the self-service blood sugar detection component 7, the self-service blood lipid detection component 8, the self-service blood pressure detection component 9, the self-service heart rate detection component 10, the self-service body temperature detection component 11, and the self-service detection component 12, and blood sugar, blood pressure, heart rate, blood lipids, body temperature and other indicators can be detected. After the detection, they are automatically stored in the detection record, and the person being tested is notified by voice, text message or email, and can also be printed out and provided to the person being tested; for people with abnormal data in the detection, the detection personnel and related data are submitted to the key personnel and key data areas to remind medical staff to confirm so as to further formulate a diagnosis and treatment plan.

[0030] Furthermore, the emergency first aid device includes three components: an emergency oxygen inhalation component 13, an emergency atomization component 14, and an emergency first aid component 15; after receiving an emergency command or identifying an emergency event, the robot first locates the first scene of the emergency event, and then the auxiliary manipulator 6 is combined with the modular emergency disposal component of the upper abdomen, and prompts the user how to operate through voice and video; the robot records and tracks the entire process of emergency disposal, automatically creates an emergency task plan according to the actual situation of the emergency matter and the emergency plan, and arranges and notifies the responsible personnel to perform the emergency disposal task.

[0031] For example, when a caregiver or patient requests the robot to test their blood sugar (or blood pressure, blood lipids, heart rate, body temperature, throat, ears), the robot can rotate the neck 3 automatically to the predetermined position, and the robot docks with the detection component through a dedicated manipulator, and then guides the patient or the caregiver to perform the test through animation on the screen. After the test, the user is fed back by voice, text message, or email, and the test is completed. At the same time, the test data is recorded in the patient self-test database.

[0032] The material distribution equipment 24 capable of carrying classified items is used for the distribution and temporary storage of special items, patient medicines, patient food and regular supplies between medical staff and patients.

[0033] Optionally, the operating process of a designed item delivery device is as follows: before the robot receives the items to be delivered, it must first confirm the identity of the person who issued the task. After confirming that the corresponding task can be initiated, the task is formally created, the robot starts the task, receives the designated person to place the items, and after receiving the items, it automatically takes pictures of the item placement and closes the storage bin of the material delivery box 19. At the same time, the photos taken are stored in the robot's local temporary storage and synchronized to the cloud regularly; after the carried items are delivered, the robot system confirms the identity of the receiving person. After confirmation, the robot arm grabs the item or the receiving person scans the QR code and places the delivered item at the designated location, takes photos for reference, and the task ends; if there are unfinished tasks that have timed out or storage boxes have not been placed back to the designated location of the fuselage, the system will remind the management personnel.

[0034] For example, when the accompanying staff or patients request the robot to take the food and medicine purchased from outside or delivered by relatives and friends, after the delivery staff or relatives and friends deliver the food or medicine to the floor where the hospital ward is located, the robot moves to the designated location on the floor. At this time, the delivery staff presents the QR code for picking up the items and puts it in front of the camera of the robot's head display component 2 for scanning. After the scan is passed, the robot automatically determines whether it is food, medicine or a mixture of food and medicine, opens the patient's food delivery box 18 or the patient's medicine delivery box 17, and the delivery staff puts the items into the delivery box. The robot moves to the bed in the ward where the receiving person is located. When the robot recognizes that there are people in the ward who can take the items by themselves, it automatically opens the storage box and reminds the person who picks up the items to take the items. When the patient or accompanying staff is not in the ward, the robot automatically calls the patient or accompanying staff to inquire whether to wait for them to come and pick up the items by themselves or the robot places the items on the bed cabinet in the ward. If the person who picks up the items replies that the robot should place them in the ward by itself, the robot uses the auxiliary manipulator 6 to grab the items and place them in the designated location in the ward, and this task is completed. Otherwise, the robot waits for the person who picks up the items by themselves. When the accompanying staff or patient requests the robot to take medicine from the pharmacy, or the medical staff needs to deliver medicines or related information to the patient, the robot receives the instruction and moves to the pharmacy or medical staff. The pharmacy staff or medical staff places the items in the special item delivery box 16 between the medical staff and the patient. The robot moves to the target ward. When the patient or the accompanying staff is not in the ward, the robot automatically calls the patient or the accompanying staff to ask whether to wait for them to come and pick up the items by themselves or for the robot to place the items on the bedside cabinet in the ward. If the person picking up the items responds and asks the robot to place them in the ward by itself, the robot uses the auxiliary manipulator 6 to grab the items and place them in the designated location in the ward, and this task is completed.

[0035] The intelligent monitoring device 25 for monitoring the patient's infusion status is used to calculate the used amount of the drip, the remaining amount of the drip and the flow rate of the drip liquid according to the gravity sensor data.

[0036] Optionally, a device is designed that can intelligently monitor the patient's infusion status, and the device is designed as follows: the device includes a high-precision gravity sensor, a gravity data acquisition module, and a gravity data communication module. After the above devices are combined together, they are connected to a convenient liquid fixing hook, and the drip liquid is hung on the liquid hook. At this time, the gravity data acquisition module collects gravity sensor data once a second, and pushes the data to the robot background system through the communication module. The background system automatically calculates the amount of drip used, the remaining amount, and the liquid flow rate, thereby reminding medical staff or accompanying personnel and patients to change the liquid or end the infusion in time.

[0037] The visitor intelligent management software 26 is used to maintain the hospital floor duty personnel schedule, patient admission and discharge information table, visitor registration table and stranger information table.

[0038] Optionally, a software module can be used to provide real-time dynamic tracking services for medical staff, patients, and visitors. The module maintains a hospital floor duty staff schedule, a patient admission and discharge information table, a visitor registration table, and a stranger information table. Each medical staff member and patient corresponds to an office or ward on the floor, and the patient further corresponds to the corresponding bed number. When the robot inspects, the camera and chip reader installed on the robot head are used to check the doctor's on-the-job status and whether the patient is in the designated bed. If the doctor or patient is not in the designated bed or office during the inspection, the entire floor will be patrolled without dead ends to search for people who are not on duty or not in bed. If the person to be found is still not found in the public area, the entrance and exit information of the corridor will be retrieved for analysis. If there is still no entry and exit information of the target person to be found, it is analyzed that he or she may be in the toilet. After waiting for the specified time, the robot will inspect the ward or office again to confirm. For all strangers found during the inspection, the module uploads the data to the cloud in real time and provides it to the management personnel, who mark them. If any abnormal or suspicious person is found, the robot will issue instructions, and the robot will track and inquire about the designated person. At the same time, the remote mode can be turned on, and doctors or security personnel can conduct remote inquiries.

[0039] The inpatient full-process tracking service software 27 is used to record the diagnosis and treatment plan of each patient after admission to the hospital. By retrieving the data from the hospital business system, it tracks and inspects the diagnosis and treatment situation and reminds doctors or patients to change medicines or remove needles.

[0040] Optionally, a software module can be used to provide full-process tracking services for inpatients: first, professionals prepare a full-cycle treatment plan template for inpatients from admission registration to diagnosis and treatment until discharge; when the patient is admitted, the robot system extracts the information of the patient to be admitted through the pre-connected HIS system, and the patient confirms admission with his or her ID card or medical record number; after confirmation, the robot system automatically generates a patient treatment plan from the treatment plan template, and the generated draft treatment plan is submitted to the doctor's side, and the doctor further refines it; then the robot conducts a simple inquiry to the patient, which can be done by voice or by clicking on the robot's questions and answers. After the inquiry, the patient confirms the inquiry, and the robot takes a photo of the confirmation scene for archiving; then the robot guides the patient to the attending physician's office. At this time, a preliminary treatment plan and a record of the robot's simple inquiry have been generated in the attending physician's computer system, and the doctor further inquires about the patient; then the doctor compiles A detailed and executable diagnosis and treatment plan is prepared, which is detailed to which ward and bed number the patient will be assigned to, the specific nurse responsible, which medicine to use on which day, when to take the medicine, how much to take, when to test, what to test, where to test, etc. The robot sends this diagnosis and treatment plan to the patient's mailbox or mobile phone, and the patient can ask the robot to print a paper version of the diagnosis and treatment plan. The robot arranges the inspection plan according to the detailed diagnosis and treatment plan of each patient, inspects the ward according to the inspection plan, and tracks the implementation of each patient's diagnosis and treatment plan. For patients who need infusion, during the inspection process, the robot can identify the progress of liquid delivery, remind the doctor or patient to change the medicine or pull out the needle to avoid blood return. During the inspection process, the robot can monitor the patient's sleep at night, focus on monitoring patients who snoring at night, and submit the monitoring data to the attending physician in order to formulate a more humane and scientific diagnosis and treatment plan.

[0041] The consultation and question-answering software 28 accessing the medical big model and calling the hospital's self-built knowledge system is used to identify the user's identity and provide different inquiry permissions based on the identity.

[0042] Optionally, the medical big model can be connected and the consultation and question-answering software module of the hospital's self-built knowledge system can be called. The module first identifies the user's identity. If it is a patient or a caregiver, he or she can only ask general medical knowledge questions and information disclosed by the hospital, as well as the patient's own confirmed information. The doctor can inquire about all the information of his or her diagnosis and treatment objects, as well as the information within the hospital's authority, and various questions supported by the big model; the system will record the inquiries of each person, analyze the issues of concern to the inquirer, and for questions that cannot be answered temporarily, the system will record the questions and submit them to the upper-level management personnel, and reply to the user in time after the questions are answered; the system is set up with an online quick connection to the doctor mode. After the connection is connected, in special circumstances, the doctor or other online response personnel can be dialed, and the system will quickly connect to the relevant personnel; the robot's chest position display device will be activated, and it can interact with patients or medical staff in real time via online video, and remotely handle or answer problems in real time.

[0043] For example, when it is recognized that someone has fallen or someone has called for emergency services, the robot will move to the area where emergency response is required. If there are already emergency response personnel on the scene when the robot arrives at the incident area, the emergency response personnel will select an emergency response plan based on the on-site situation, and the robot's emergency response component will automatically generate an emergency response task based on the instructions, and notify relevant personnel to assist in handling the emergency. If there are no emergency response personnel on site, the robot will first inquire about the basic situation of the on-site personnel, and automatically establish a remote connection with the emergency response personnel, requesting the emergency response personnel to immediately access the scene remotely, immediately determine the emergency response plan based on the on-site situation, arrange for the on-site emergency response person to rush to the scene, and coordinate with personnel from various departments and relevant personnel to jointly handle the emergency.

[0044] The hospital potential safety risk analysis and early warning software 29 for launching emergency plans based on emergency models is used to establish hospital risk models, compare real-time hospital site scenarios, and estimate risks.

[0045] Optionally, the hospital potential safety risk analysis and early warning software 29 for launching emergency plans based on emergency models specifically establishes hospital risk models, such as smoke detection, extreme weather response, recognition of extreme emotions of patients' families, crowd gathering recognition, stranger recognition, recognition of people in dangerous locations, recognition of dangerous goods carried, recognition of patient fall patterns, recognition of patients' sudden critical condition, etc.; for the above-mentioned but not limited to the above-mentioned risk models, the robot compares the real-time scene of the hospital site according to the above-mentioned risk model, estimates the possible risks, and then launches the corresponding emergency plan, generates an emergency plan, and assists medical staff in handling emergency events and eliminating risks.

[0046] For example, the system extracts data from the multimodal data center at a set frequency to identify whether there is emergency feature data; the emergency feature is set through the emergency plan model, which includes emergency matters, emergency tasks, emergency indicator names, and emergency indicator data thresholds; in the emergency plan model, a typical example is the emergency plan model for people falling, the model name is "Emergency Plan Model for People Falling", the emergency indicator name is the number of people falling, the emergency indicator data threshold is 1 person or more, and the emergency task is similar to "XXXX Year XX Month XX Day XX Department Personnel Fall Emergency Handling Task XXX", which is a task order that arranges relevant personnel to go to the designated location to handle emergency matters of people falling. After being triggered, the system immediately sends the task order to the relevant personnel by email, mobile phone text message, voice, etc.; in addition, you can configure a variety of emergency plan models by yourself, such as fireworks emergency plan model and medical disturbance emergency plan model.

[0047] In a possible implementation, the robot API interface is called to collect and analyze the robot's multimodal information. The early warning response software 21 is specifically used to collect the robot's multimodal information of vision, touch, hearing, and taste at a preset frequency to the local multimodal data center, and synchronize it to the cloud. The multimodal data is associated with time, patient, department, and medical staff information, corresponding to the robot system unique identification code. The robot API interface is called to collect and analyze the robot's multimodal information. The early warning response software 21 analyzes the relevant data, identifies abnormal situations and flare situations, issues early warnings for abnormal situations and flare situations, and regularly backs up information for routine inspections.

[0048] In a possible implementation, the AI ​​intelligent printing device 22 is specifically used to parse closed-loop voice instructions to identify the patient's intention, and call the API interface corresponding to the intelligent body to print the test report provided by the hospital and the personal medical record information. The AI ​​intelligent printing device 22 can intelligently generate a print document to the intelligent printing paper output device 5 by providing prompt words by the user. The AI ​​intelligent printing device 22 receives the printing instructions of the printing color category, printing paper type, printing format type and number of copies, and executes the printing instructions to print. When the AI ​​intelligent printing device 22 identifies that the printing format type is PDF or picture, it outputs the PDF or picture to the patient's mailbox.

[0049] In a possible implementation, the patient health status self-service detection device 23 is specifically used to provide patients with self-service detection of blood sugar, blood pressure, blood oxygen, heart rate, blood lipids and body temperature data services according to the patient's on-site needs, using the self-service blood sugar detection component 7, the self-service blood lipid detection component 8, the self-service blood pressure detection component 9, the self-service heart rate detection component 10, the self-service body temperature detection component 11, and the self-service detection component 12; emergency treatment is carried out using the emergency oxygen inhalation component and the emergency atomization component, and emergency first aid medicines and supplies are provided using the emergency supplies component for storing emergency medicines and supplies. The patient health status self-service detection device 23 stores the detection data in the detection record and informs the patient by voice, text message, or email. The patient health status self-service detection device 3 interacts with the patient or medical staff by voice, and designs questions to ask the patient based on the self-service detection results to collect comprehensive health status information and help identify the health status of the person being tested.

[0050] In a possible implementation, the material distribution device 24 capable of carrying items by classification is specifically used for the distribution and temporary storage of special items, patient medicines, patient food, and regular supplies between medical staff and patients. After receiving the distribution instruction, the material distribution device 24 capable of carrying items by classification grabs the stored items in the above-mentioned intelligent storage space to the material distribution box 19 through the auxiliary manipulator 6 integrated in the fuselage, reminds the user to take out the items in the storage box, and takes photos and saves the process of storing and taking out each material distribution.

[0051] In a possible implementation, the intelligent patient infusion status monitoring device 25 is specifically used to connect the gravity sensor, the gravity data acquisition module, and the gravity data communication module to the portable liquid fixed hook. The intelligent patient infusion status monitoring device 25 collects gravity sensing data according to a preset time length through the gravity sensor and the data acquisition module, and pushes the data to the robot background system through the communication module. The robot background system calculates the amount of drip used, the remaining amount of drip, and the drip liquid flow rate. When the calculation result of the amount of drip used, the remaining amount of drip, or the drip liquid flow rate is less than the corresponding threshold, the intelligent patient infusion status monitoring device 25 reminds medical staff and accompanying personnel to change the liquid for the patient in time or end the infusion.

[0052] Optionally, during the inspection service, if the inspection object obtains the drip status, the drip status will be monitored according to the following logic: first, the drip monitoring setting parameters of the designated bed are retrieved. If the interface of the designated intelligent drip monitoring module is set, the inspection system will automatically receive or retrieve the corresponding interface data and submit the drip monitoring data; if the hospital is not equipped with an intelligent drip monitoring module, it will be prompted to configure the intelligent drip monitoring device included in the present invention.

[0053] Furthermore, the multifunctional monitoring center is equipped with a robot body status information and inspection data scheduling and analysis center, which collects data to the robot's local multimodal data center at a set frequency, compares various indicator data with the set warning thresholds in real time, and reminds medical staff and patients and medical staff to deal with risk events. At the same time, the medical staff, accompanying staff, and patient information of the HIS system are synchronized, and dynamic tracking is carried out in a visual manner after comprehensive analysis.

[0054] In a possible implementation, the visitor intelligent management software 26 is specifically used to maintain the hospital floor duty staff schedule, patient admission and discharge information table, visitor registration table and stranger information table. The visitor intelligent management software 26 can retrieve the monitoring data of the floor entrances and corridors and the personnel information of the patrol wards and doctors' duty rooms to determine the patient information in the ward and the duty doctor information. The visitor intelligent management software 26 verifies the identity by comparing the patient information in the current ward and the current duty doctor information with the duty staff schedule, patient admission and discharge information table, visitor registration table and stranger information table, and analyzes the duty status of the on-duty medical staff, the dynamic information of the inpatients, the dynamic information of the accompanying personnel and the dynamic information of the visitors.

[0055] In a possible implementation, the inpatient full-process tracking service software 27 is specifically used to track the diagnosis and treatment situation by retrieving the hospital business system data, and to conduct regular inspections for patients who need intravenous drips, and to remind doctors or patients to change dressings or remove needles according to the inspection situation. The inpatient full-process tracking service software 27 can monitor the patient's sleep situation at night, focus on monitoring patients who sneeze at night, and submit the monitoring data to the attending physician to formulate a diagnosis and treatment plan.

[0056] In a possible implementation, the consultation and question-answering software 28 that accesses the medical large model and calls the hospital's self-built knowledge system is specifically used to identify the user identity and release the corresponding browsing authority according to the user identity. The consultation and question-answering software 28 that accesses the medical large model hospital's self-built knowledge system can record each patient's inquiry question, answer the inquiry question, and submit the inquiry question to the management personnel when the inquiry question cannot be answered, and reply the reply answer to the inquiry question given by the management personnel to the corresponding patient. The consultation and question-answering software that accesses the medical large model and calls the hospital's self-built knowledge system is provided with an online quick connection doctor mode, which can connect to the doctor or request connection personnel. When the robot chest position display device is activated, the consultation and question-answering software executes the action of connecting to the relevant personnel, and provides an interactive platform for the doctor and the person requesting connection in an online video mode, and remotely answers the inquiry questions of the person requesting connection.

[0057] In a possible implementation, the hospital potential safety risk analysis and early warning software 29 based on the emergency model to start the emergency plan is specifically used to establish a hospital risk model, obtain the real-time scene of the hospital site, predict the risk type, and push the risk type to relevant personnel for risk warning. The hospital potential safety risk analysis and early warning software 29 based on the emergency model to start the emergency plan can establish an emergency warning model, start the corresponding emergency plan when an emergency event occurs, and coordinate with relevant personnel to deal with the emergency event.

[0058] The beneficial effects brought about by the technical solution provided by the embodiment of the present invention include at least: (1) In the present invention, the problems of independent operation, insufficient interaction and perception capabilities, limited flexible operation and poor clinical adaptability of existing medical robots are solved through multi-module integration. Multimodal information collection and early warning response software realizes continuous data collection and abnormal early warning, and improves perception capabilities; AI intelligent printing and self-service detection equipment support voice analysis and health detection, enhancing personalized services; material distribution, intelligent infusion monitoring and patient tracking modules improve the flexible operation of material delivery, infusion monitoring and diagnosis and treatment tracking. The consultation question and answer and safety warning modules based on the medical big model provide personalized information support and emergency response, improve the integration and adaptability of the system in complex hospital scenarios, and realize intelligent multi-dimensional services.

[0059] (2) In the present invention, the multimodal information collection and early warning response module and the intelligent monitoring infusion status device enable the robot to share patient data in real time and improve the clinical monitoring effect; the inpatient tracking software is connected to the diagnosis and treatment system to automatically remind nursing operations and enhance the diagnosis and treatment auxiliary function; the AI ​​intelligent printing device and the consultation and question-answering software realize the synchronization and query of patient information and medical knowledge, and improve data circulation; the safety risk analysis module monitors the hospital environment in real time and supports emergency management. Through the integrated functions, the robot can realize multi-dimensional intelligent support in the hospital and better meet the comprehensive and personalized medical needs.

[0060] It should be understood that the processor in the embodiment of the present invention may be a central processing unit (CPU), and the processor may also be other general-purpose processors, digital signal processors (DSP), application specific integrated circuits (ASIC), field programmable gate arrays (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general-purpose processor may be a microprocessor or the processor may also be any conventional processor, etc.

[0061] It should also be understood that the memory in the embodiments of the present invention may be a volatile memory or a non-volatile memory, or may include both volatile and non-volatile memories. Among them, the non-volatile memory may be a read-only memory (ROM), a programmable read-only memory (PROM), an erasable programmable read-only memory (EPROM), an electrically erasable programmable read-only memory (EEPROM), or a flash memory. The volatile memory may be a random access memory (RAM), which is used as an external cache. By way of example and not limitation, many forms of random access memory (RAM) are available, such as static RAM (SRAM), dynamic random access memory (DRAM), synchronous DRAM (SDRAM), double data rate synchronous dynamic random access memory (DDR SDRAM), enhanced synchronous dynamic random access memory (ESDRAM), synchronous link DRAM (SLDRAM), and direct rambus RAM (DR RAM).

[0062] The above embodiments can be implemented in whole or in part by software, hardware (such as circuits), firmware or any other combination. When implemented by software, the above embodiments can be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions or computer programs. When the computer instructions or computer programs are loaded or executed on a computer, the process or function described in the embodiment of the present invention is generated in whole or in part. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. The computer instructions can be stored in a computer-readable storage medium, or transmitted from one computer-readable storage medium to another computer-readable storage medium. For example, the computer instructions can be transmitted from one website, computer, server or data center to another website, computer, server or data center by wired (such as infrared, wireless, microwave, etc.). The computer-readable storage medium can be any available medium that can be accessed by a computer or a data storage device such as a server or data center that contains one or more available media sets. The available medium can be a magnetic medium (for example, a floppy disk, a hard disk, a tape), an optical medium (for example, a DVD), or a semiconductor medium. The semiconductor medium can be a solid-state hard disk.

[0063] It should be understood that the term "and / or" in this article is only a description of the association relationship of associated objects, indicating that there can be three relationships. For example, A and / or B can represent: A exists alone, A and B exist at the same time, and B exists alone. A and B can be singular or plural. In addition, the character " / " in this article generally indicates that the associated objects before and after are in an "or" relationship, but it may also indicate an "and / or" relationship. Please refer to the context for specific understanding.

[0064] In the present invention, "at least one" means one or more, and "plurality" means two or more. "At least one of the following" or similar expressions refers to any combination of these items, including any combination of single items or plural items. For example, at least one of a, b, or c can mean: a, b, c, ab, ac, bc, or abc, where a, b, and c can be single or multiple.

[0065] It should be understood that in various embodiments of the present invention, the size of the serial numbers of the above-mentioned processes does not mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present invention.

[0066] Those skilled in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of the present invention.

[0067] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working processes of the above-described equipment, devices and units can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0068] In the several embodiments provided by the present invention, it should be understood that the disclosed devices, apparatuses and methods can be implemented in other ways. For example, the device embodiments described above are only schematic. For example, the division of the units is only a logical function division. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another device, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms.

[0069] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0070] In addition, each functional unit in each embodiment of the present invention may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit.

[0071] If the functions are implemented in the form of software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art, or the part of the technical solution, can be embodied in the form of a software product. The computer software product is stored in a storage medium, including several instructions for enabling a computer device (which can be a personal computer, server, or network device, etc.) to perform all or part of the steps of the methods described in various embodiments of the present invention. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM), random access memory (RAM), disk or optical disk, and other media that can store program codes.

[0072] The above is only a specific embodiment of the present invention, but the protection scope of the present invention is not limited thereto. Any person skilled in the art can easily think of changes or substitutions within the technical scope disclosed by the present invention, which should be included in the protection scope of the present invention. Therefore, the protection scope of the present invention should be based on the protection scope of the claims.

[0073] There are a few points to note: (1) The drawings of the embodiments of the present invention only relate to the structures related to the embodiments of the present invention. Other structures may refer to the general design.

[0074] (2) For the sake of clarity, in the drawings used to describe the embodiments of the present invention, the thickness of layers or regions is exaggerated or reduced, that is, these drawings are not drawn according to the actual scale. It is understood that when an element such as a layer, film, region or substrate is referred to as being "on" or "under" another element, the element may be "directly" "on" or "under" the other element or there may be intermediate elements.

[0075] (3) In the absence of conflict, the embodiments of the present invention and the features therein may be combined with each other to obtain new embodiments.

[0076] The above are only specific embodiments of the present invention, but the protection scope of the present invention is not limited thereto. The protection scope of the present invention shall be based on the protection scope of the claims.

Claims

1. A service robot inspection system for night duty in a hospital, characterized in that: include: Early warning response software that uses the robot API interface to collect and analyze the robot's multimodal information, AI intelligent printing equipment, self-service patient health status detection equipment, material distribution equipment that can classify and carry items, intelligent monitoring equipment for patient infusion status, intelligent visitor management software, inpatient full-process tracking service software, consulting and question-and-answer software that accesses the medical big model and calls the hospital's self-built knowledge system, and hospital potential safety risk analysis and early warning software that activates emergency plans based on emergency models; The software that calls the robot API interface to collect and analyze the robot's multimodal information and respond to early warnings is used to collect multimodal information for the local multimodal data center at a preset frequency, identify abnormal situations by analyzing the multimodal information, and issue early warnings for abnormal situations; The AI ​​intelligent printing device is used to analyze the patient's voice commands and identify his intentions, print the test report form and personal medical records provided by the hospital for the user, and output the test report form and personal medical records to the patient's mailbox; The patient health status self-service detection device is used to provide patients with self-service detection of blood sugar, blood pressure, blood oxygen, heart rate, blood lipids and body temperature health status data, store the health status data in the detection record, print the detection record through the AI ​​intelligent printing device, and supply emergency medicines and supplies through the emergency medicines and supplies parts according to the needs of patients; The material distribution equipment capable of carrying classified items is used for the distribution and temporary storage of special items between medical staff and patients, patient medicines, patient food and regular supplies; The intelligent patient infusion status monitoring device is used to calculate the amount of drip used, the remaining drip amount and the drip liquid flow rate according to the gravity sensor data; The visitor intelligent management software is used to maintain the hospital floor duty personnel schedule, patient admission and discharge information table, visitor registration table and stranger information table; The inpatient full-process tracking service software is used to record the diagnosis and treatment plan of each patient after admission, and to track and inspect the diagnosis and treatment situation by retrieving the hospital business system data, and remind the doctor or patient to change the medicine or remove the needle; The consulting question-and-answer software accessing the medical big model and calling the hospital's self-built knowledge system is used to identify the user's identity and provide different inquiry permissions according to the identity; The hospital potential safety risk analysis and early warning software for launching emergency plans based on emergency models is used to establish a hospital risk model, compare the real-time scene of the hospital site, and estimate the risks.

2. The service robot inspection system for night shifts in hospitals according to claim 1, characterized in that: The calling robot API interface to collect and analyze the robot's multimodal information is specifically used to collect the robot's multimodal information of vision, touch, hearing, and taste to the local multimodal data center at a preset frequency, and synchronize it to the cloud; The multimodal data associates information about time, patients, departments, and medical staff, corresponding to the unique identification code of the robot system; The robot API interface is called to collect and analyze the robot's multimodal information. The early warning response software analyzes the relevant data, identifies abnormal situations and incidents, issues early warnings for abnormal situations and incidents, and regularly backs up information from routine inspections.

3. The service robot inspection system for night shifts in hospitals according to claim 1, characterized in that: The AI ​​agent printing device is specifically used to parse closed-loop voice commands to identify the patient's intentions, and call the API interface corresponding to the agent to print the test report provided by the hospital and personal medical records; The AI ​​intelligent printing device can intelligently generate printed documents by providing prompt words by the user; The AI ​​agent printing device receives a printing instruction of a printing color category, a printing paper type, a printing format type, and a number of print copies, and executes the printing instruction to print; When the AI ​​intelligent printing device recognizes that the printing format type is PDF or picture, it outputs the PDF or picture to the patient's mailbox.

4. The service robot inspection system for night shifts in hospitals according to claim 1, characterized in that: The patient health status self-service detection device is specifically used to provide patients with self-service blood sugar, blood pressure, blood oxygen, heart rate, blood lipid and body temperature data services according to the patient's on-site needs using the self-service detection component; emergency treatment using the emergency oxygen inhalation component and the emergency atomization component, and emergency first aid medicines and supplies using the emergency supplies component for storing emergency medicines and supplies; The patient health status self-service detection device stores the detection data in the detection record and informs the patient by voice, text message or email; The patient health status self-service detection device interacts with the patient or medical staff through voice, and designs questions to ask the patient based on the self-service detection results to collect comprehensive health status information and help identify the health status of the person being tested.

5. The service robot inspection system for night shifts in hospitals according to claim 1, characterized in that: The material distribution equipment capable of carrying classified items is specifically used for the distribution and temporary storage of special items between medical staff and patients, patient medicines, patient food, and regular supplies; After receiving the delivery instruction, the material delivery device capable of classifying and carrying items grabs the stored items in the above-mentioned intelligent storage space into the storage box through the manipulator integrated in the body, reminds the user to take out the items in the storage box, and takes photos and saves the process of depositing and taking out each material delivery.

6. The service robot inspection system for night shifts in hospitals according to claim 1, characterized in that: The intelligent patient infusion status monitoring device is specifically used to connect the gravity sensor, the gravity data acquisition module, and the gravity data communication module to the portable liquid fixing hook respectively; The intelligent monitoring device for the patient's infusion status collects gravity sensing data according to a preset time length through the gravity sensor and the data acquisition module, and pushes the data to the robot background system through the communication module, and the robot background system calculates the amount of drip used, the remaining drip and the drip liquid flow rate; When the calculated result of the used amount of the drip, the remaining amount of the drip, or the flow rate of the drip liquid is less than the corresponding threshold, the intelligent device for monitoring the patient's infusion status reminds the medical staff and the accompanying personnel to change the liquid for the patient or end the infusion in time.

7. The service robot inspection system for night shifts in hospitals according to claim 1, characterized in that: The visitor intelligent management software is specifically used to maintain the hospital floor duty personnel schedule, patient admission and discharge information table, visitor registration table and stranger information table; The intelligent visitor management software can retrieve the monitoring data of floor entrances and corridors and the personnel information of patrolling each ward and doctor's duty room, and determine the patient information in the ward and the doctor on duty information; The intelligent visitor management software verifies the identity by comparing the patient information in the current ward and the current doctor on duty with the duty personnel schedule, patient admission and discharge information form, visitor registration form and stranger information form, and analyzes the duty status of the on-duty medical staff, the dynamic information of the inpatients, the dynamic information of the accompanying personnel and the dynamic information of the visitors.

8. The service robot inspection system for night shifts in hospitals according to claim 1, characterized in that: The inpatient full-process tracking service software is specifically used to track the diagnosis and treatment situation by retrieving the hospital business system data, and to conduct regular inspections for patients who need intravenous drips, and to remind doctors or patients to change dressings or remove needles according to the inspection situation; The inpatient full-process tracking service software can monitor the patient's sleep condition at night, focus on monitoring patients who snore at night, and submit the monitoring data to the attending physician to formulate a diagnosis and treatment plan.

9. The service robot inspection system for night shifts in hospitals according to claim 1, characterized in that: The consulting question-and-answer software accessing the medical big model and calling the hospital's self-built knowledge system is specifically used to identify the user's identity and release the corresponding browsing authority according to the user's identity; The consultation and question-answering software connected to the self-built knowledge system of the medical large model hospital can record the inquiry questions of each patient, and give answers to the inquiry questions. If the inquiry questions cannot be answered, the inquiry questions will be submitted to the management personnel, and the answers to the inquiry questions given by the management personnel will be sent back to the corresponding patients. The consulting question-and-answer software that accesses the medical big model and calls the hospital's self-built knowledge system is equipped with an online quick connection to a doctor mode, which can connect to a doctor or request a connection person. When the robot's chest position display device is activated, the consulting question-and-answer software executes the action of connecting to relevant personnel, and provides an interactive platform for the doctor and the person requesting a connection in an online video manner, and remotely answers the inquiries of the person requesting a connection.

10. The service robot inspection system for night shifts in a hospital according to claim 1, characterized in that: The hospital potential safety risk analysis and early warning software based on the emergency model to initiate the emergency plan is specifically used to establish a hospital risk model, obtain the real-time scene of the hospital site, predict the risk type, and push the risk type to relevant personnel for risk early warning; The hospital potential safety risk analysis and early warning software that initiates emergency plans based on emergency models can establish an emergency early warning model, initiate corresponding emergency plans when an emergency event occurs, and coordinate with relevant personnel to handle the emergency event.

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