Design method of customer health management system based on AI
By designing an AI-based customer health management system and using advanced Internet technology to realize functions such as user information management, health consultation and case management, the problem that the existing health management system cannot meet personalized needs is solved, and efficient and safe health service management is achieved.
Patent Information
- Application Number
- CN202311586375.6
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2023-11-27
- Publication Date
- 2025-05-27
AI Technical Summary
The existing health management system cannot meet the modern society's needs for more comprehensive and personalized health services, especially in case management and drug record management, which has insufficient information integration and sharing.
An AI-based customer health management system has been designed, and advanced Internet technology is used to realize functions such as user information management, health consultation, case management, case list identification, medical appointment record and medication record management. The system provides personalized health services and information management through components such as user registration, AI consultation module, chat and dialogue module, case management, OCR intelligent identification module and hospital appointment module.
It realizes comprehensive, personalized, efficient and safe health service management, meets users' needs for health services, improves service quality, simplifies operations, and provides a high-security information management system.
Smart Images
Figure FT_1
Abstract
Description
Technical Field
[0001] The present invention relates to a design method of an AI-based customer health management system, which is a system that uses advanced Internet technology for user information management, health consultation, case management, case form recognition, medical appointment record, and medication record management 。 Background Art
[0002] With the development of technology and the increasing demand for human health, health management systems have gradually become an important health management tool. However, most of the existing health management systems only provide simple user information management and health consultation services, and cannot meet the needs of modern society for more comprehensive and personalized health services. In addition, there are many deficiencies in aspects such as case management and medication record management, and information integration and sharing cannot be effectively carried out, bringing many inconveniences to users. To solve these problems, the present invention proposes a brand-new design method for a health management system Summary of the Invention
[0003] The purpose of the present invention is to provide a brand-new design method for a health management system. This design method uses advanced Internet technology to realize functions such as user information management, health consultation, case management, case form recognition, medical appointment record, and medication record management. The advantages of this design method are comprehensive, personalized, efficient, and safe, and can meet the needs of users for health services
[0004] I. User Module:
[0005] The design method of the health management system of the present invention collects users' personal information through user registration, including physiological indicators such as name, gender, age, height, weight, blood pressure, as well as lifestyle information such as diet preferences and exercise habits. This information will be stored in the cloud server and can be updated and modified at any time. Users can access their personal information through the system interface or mobile application to understand their health status and physical needs. In addition, the system can also provide personalized recommendations and customized services according to users' personal information
[0006] II. AI Consultation Module:
[0007] The design method of the health management system of the present invention realizes one-on-one health consultation services through artificial intelligence technology. Users can put forward health problems or needs through the system interface or mobile application, and the system will automatically match corresponding doctors or health experts for answers and guidance. This consultation service is not only convenient and fast, but also can be customized according to users' personalized needs to improve service quality. In addition, the system can also use artificial intelligence technology to monitor and warn users' health status in real time, timely discover potential health problems and give corresponding suggestions
[0008] III. Chat Conversation Module:
[0009] The design method of the health management system of the present invention can communicate with the account manager in a dialogue manner to obtain the user's health information in real time and in detail.
[0010] IV. Case Management:
[0011] The design method of the health management system of the present invention can automatically collect the user's case information, including past medical history, surgical records, allergic reactions, etc. These information will be stored in the cloud server together with the user's personal information, facilitating the user to consult and update at any time. In addition, the system can also perform intelligent analysis on the user's case information to provide personalized health advice and preventive measures for the user. At the same time, the system can also perform data mining and analysis on the user's case information to provide strong support for medical research and diagnosis.
[0012] The specific algorithm is as follows:
[0013] Case Information Collection: Through the interface to dock with the hospital information system or third-party data sources, automatically collect the user's case information and store it in the cloud server.
[0014] Information Extraction and Cleaning: Use NLP technology and data cleaning algorithms to extract key information from the case text, such as disease names, symptom descriptions, diagnosis results, etc., and store them in a structured manner.
[0015] Case Classification and Annotation: Use classification algorithms to classify cases, such as internal medicine, surgery, gynecology, etc., and perform annotation for subsequent data mining and analysis.
[0016] Intelligent Analysis: Through machine learning algorithms, mine and analyze the case data to provide personalized health advice and preventive measures for the user. For example, based on the user's past medical history and allergic history, predict the possible future health problems and intervene in advance.
[0017] Data Sharing and Application: Share the case data with partners such as medical institutions and research institutions to provide valuable data support for their medical research and diagnosis; at the same time, the case data can also be applied to clinical decision support systems, medical quality control, etc.
[0018] V. OCR Intelligent Recognition Module:
[0019] The design method of the health management system of the present invention realizes the function of case form recognition through artificial intelligence technology. Users can upload photos or electronic files of case forms through the system interface or mobile application, and the system will automatically recognize the text information therein and store it in the cloud server. The case form recognition module is trained and implemented using deep learning algorithms, and can efficiently and accurately recognize the text information in case forms.
[0020] The specific algorithm is as follows:
[0021] Data preprocessing: Preprocess the uploaded case form pictures, including operations such as grayscale conversion, binarization, and cutting, to extract the text areas in the case forms.
[0022] Feature extraction: Use a convolutional neural network (CNN) to extract features from the extracted text areas to obtain features such as the shape, size, and stroke thickness of each character.
[0023] Character recognition: Use a recurrent neural network (RNN) to classify and recognize the extracted features to determine the correct meaning of each character.
[0024] Error correction processing: Since there may be problems such as handwritten blurring and unclear handwriting in case forms, it is necessary to perform error correction processing on the recognition results. Use a rule-based error correction algorithm to correct the recognition results according to context information and language models.
[0025] Storage and call: Store the recognized text information in the cloud server and can be called and updated at any time.
[0026] Through the above algorithm, the design method of the health management system of the present invention can efficiently and accurately recognize the text information in case forms, improve the accuracy and integrity of case information, and save users' time and energy. At the same time, the system can also perform intelligent analysis and interpretation on the information in case forms, providing strong support for doctors' diagnosis and treatment.
[0027] VI. Hospital appointment module:
[0028] The design method of the health management system of the present invention can perform hospital appointments. The appointment records the user's medical appointment information, including appointment time, hospital name, department name, doctor's name, etc. This information will be stored in the cloud server for the user to consult and manage at any time. In addition, the system can also perform intelligent reminders and recommendations based on the user's medical appointment records to help the user better plan and manage their medical needs. At the same time, the system can also analyze and mine the user's medical appointment records to provide valuable reference information for the operation and management of the hospital. The design method of the health management system of the present invention can record the user's medication record information, including drug name, dosage, medication time, etc. This information will be stored in the cloud server for the user to consult and manage at any time. In addition, the system can also perform intelligent reminders and warnings based on the user's medication record information to avoid the occurrence of drug misuse and abuse. The health club system realizes functions such as user information management, health consultation, case management, case form recognition, medical appointment record, and medication record management through Internet technology, improving the service quality and meeting the personalized needs of users. At the same time, the system is simple and convenient to operate, has high security, and has high practical value and social benefits. Brief Description of the Drawings
[0029] Figure 1 It is a schematic diagram of the overall system process architecture.
[0030] For those skilled in the art, various corresponding changes and deformations can be given according to the above technical solutions and concepts, and all these changes and deformations should be included within the protection scope of the claims of the present invention.
Claims
1. A design method for an AI-based customer health management system, characterized in that, it includes: a user module, a chat conversation module, an AI module, an OCR intelligent module, an AI disease recognition and drug solution recommendation module, and a hospital module; The user module is used to manage user account information, record the user's historical health data, and provide personalized medical services; The chat conversation module conducts real-time conversations with users to obtain symptom information; The AI module analyzes the symptom information provided by the user to achieve intelligent diagnosis and provide corresponding medical suggestions; The OCR intelligent module, through optical character recognition technology, automatically recognizes the text information in medical documents for further analysis; The AI disease recognition and drug solution recommendation module provides personalized disease diagnosis and drug treatment solutions by analyzing patient medical records, medical databases, the latest research, and individual patient health data; The hospital module allows users to book hospital services through the system, providing convenient medical service reservations.
2. Dependent claim: Detailed implementation of the AI consultation module 2.
1. Adaptive dialogue algorithm: The dialogue system in the AI consultation module adopts an adaptive algorithm, which can dynamically adjust the questioning strategy according to the patient's answers and feedback, improving the efficiency and personalization of the dialogue; 2.
2. Deep learning model: The core of the AI consultation module is a trained deep learning model, which can learn the correlation between diseases and symptoms from a large number of medical literatures, thus improving the diagnostic accuracy and the scientific nature of medical suggestions; 2.3 Semantic analysis engine: The intelligent recognition module includes a powerful semantic analysis engine, which can understand the semantics and context of the extracted text information to ensure that the extracted information can be correctly interpreted and utilized by the system.
3. Dependent claim: Detailed implementation of the OCR intelligent recognition module 3.
1. Character recognition algorithm: The OCR intelligent recognition module uses an advanced character recognition algorithm, which can efficiently and accurately extract text information from complex medical documents; 3.
2. Information extraction module: The OCR module further includes an information extraction module, which can effectively extract information about patient medical records, diagnoses, and prescriptions and transfer it to other modules for further analysis and application.
4. Dependent claim: Detailed implementation of the AI disease recognition and drug solution recommendation module 4.
1. Patient health data analysis module: This module integrates and analyzes the patient's physiological parameters, laboratory results, and medical imaging data to establish a comprehensive patient health record; 4.
2. Knowledge graph engine: The AI recognition module uses a knowledge graph engine to combine medical knowledge with the patient's individual data to provide customized treatment suggestions for each patient, taking into account the patient's lifestyle, genetic factors, and other individual differences.
5. Dependent claim: Detailed implementation of the hospital reservation module 5.
1. Online map engine: By obtaining the user's online map, it automatically matches and recommends nearby eligible hospitals and hospitals recommended by relevant historical records, and provides the functions of online reservation for some hospitals and contact information for all hospitals.