Intelligent medical consultation system and method based on artificial intelligence technology

Abstract

The invention relates to the technical field of medical informatization, and discloses an intelligent medical consultation system and method based on an artificial intelligence technology, and the system comprises a user module, a processing module, a learning module, an artificial assistance module, and a historical recording module. The user module is connected with the processing module, the processing module is connected with the learning module, the learning module is connected with the human assistance module, and the human assistance module is connected with the historical recording module; the user module is used for inputting personal information of doctors; the historical record module allows doctors to access past consultation records, specific information is quickly positioned through the screening unit and the searching unit, the doctors can track the disease change of the patients, powerful support is provided for subsequent medical services, and the doctor can conveniently and quickly find the medical service in the face of major medical events or stubborn diseases. The system can quickly provide consultation support for grassroots doctors, meets the timely consultation requirements of the grassroots doctors, and helps to improve the grassroots medical level and service quality.

Description

Technical Field

[0001] The present invention relates to the field of medical information technology, and in particular to an intelligent medical consultation system and method based on artificial intelligence technology. Background Art

[0002] In order to promote the rational allocation of medical and health resources in the county, improve the capacity of primary medical services, and realize the hierarchical diagnosis and treatment mechanism. Through this model, the management system and operation mechanism of county-level hospitals and township health centers are reformed to form a service community, a responsibility community, an interest community, and a management community. The precious medical resources and diagnostic experience cannot be effectively integrated and shared, which limits the improvement of the overall diagnostic capacity of primary medical institutions. For example, a health center has accumulated valuable diagnosis and treatment experience in a certain case, but due to the lack of information circulation, this experience cannot be quickly spread to other institutions, so other doctors may repeat detours when facing similar cases. Summary of the invention

[0004] The purpose of the present invention is to provide an intelligent medical consultation system and method based on artificial intelligence technology to solve the problems raised in the above background technology.

[0005] To achieve the above-mentioned object, the present invention provides the following technical solutions: an intelligent medical consultation system based on artificial intelligence technology, comprising a user module, a processing module, a learning module, a manual assistance module and a history recording module; The user module is connected to the processing module, the processing module is connected to the learning module, the learning module is connected to the manual assistance module, and the manual assistance module is connected to the historical record module; The user module is used to input the doctor's personal information; The processing module is used to match medical solutions to the proposed problems; The learning module is used to regularly extract data from the feedback library and continuously optimize system performance using a machine learning algorithm; The manual assistance module is used to provide the doctor's contact information for direct online communication; The history record module is used for doctors to access past consultation records.

[0006] Preferably, the user module comprises a login unit and a registration unit; The login unit is connected to the registration unit; The login unit is used for new users to create their accounts in the system; The registration unit is used for a registered user to access the system by inputting a user name and password.

[0007] Preferably, the processing module comprises a question analyzing unit and an answer generating unit; The question analysis unit is connected to the answer generation unit; The problem analysis unit is used to receive medical problems input by doctors, use advanced NLP algorithms to deeply analyze the problems, accurately capture keywords and intentions, and connect to MySQL or MongoDB databases to quickly search and match authoritative medical solutions; The answer generation unit is used to integrate the information and generate a complete answer.

[0008] Preferably, the learning module comprises a satisfaction evaluation unit and a suggestion unit; The satisfaction evaluation unit is connected to the suggestion unit; The satisfaction evaluation unit is used to collect doctors' feedback on the system; The suggestion unit is used to provide personalized suggestions or solutions for the system.

[0009] Preferably, the manual assistance module comprises a judgment unit and a retrieval unit; The judging unit is connected to the searching unit; The judgment unit is used to evaluate the questions raised by the doctor and determine whether manual intervention is required; The retrieval unit is used to retrieve and recommend doctors in related departments and provide contact information.

[0010] Preferably, the history record module comprises a screening unit and a search unit; The screening unit is connected to the searching unit; The screening unit is used to classify and organize the doctor's historical consultation records; The search unit is used to input keywords, disease names or time ranges to retrieve relevant consultation records.

[0011] The present invention also provides a method of an intelligent medical consultation system based on artificial intelligence technology, comprising the following steps: S1. Log in to the system and register doctor information; S2. After logging in, the user enters the question input interface and uses AI natural language processing to input medical-related questions. The system intelligently identifies the question content, extracts keywords and intent, retrieves relevant information from the medical knowledge base, and provides accurate answers. S3. After checking the system's answer, the doctor provides personal evaluation and suggestions through the satisfaction evaluation unit or suggestion unit, and the system receives and securely stores the feedback data; S4. The system regularly extracts data from the feedback database to optimize the system, monitors new progress in the medical field, and dynamically updates the question table and answer table; S5. When the system cannot directly answer questions, the manual assistance module is activated to retrieve and recommend doctors from relevant departments and provide contact information to facilitate communication between doctors and patients; S6. Doctors visit the history page to view an overview of past questions, use the filter unit and search unit to quickly locate specific information, and expand to view detailed answers and related feedback and follow-up information.

[0012] Preferably, in the above: in S1, the doctor information includes the doctor's name, work unit, professional field and professional expertise.

[0013] Compared with the prior art, the present invention adopts the above technical solution and has the following technical effects: The system can quickly parse medical problems entered by doctors, accurately capture keywords and intentions, and quickly retrieve relevant information from the huge medical knowledge base to provide doctors with accurate and detailed answers, thereby greatly shortening the time required for consultation. The processing module can accurately match and recommend doctors from related departments, and promote direct online communication between patients and experts, which not only improves the utilization efficiency of medical resources, but also makes it easier for patients to obtain professional medical advice and guidance.

[0014] This system allows doctors to evaluate their satisfaction with the system's answers and provide suggestions and feedback, and regularly extracts data from the feedback library. It uses machine learning algorithms to continuously optimize system performance, ensuring the professionalism, accuracy and practicality of the system's answers, promoting the intelligent upgrade of medical consulting services, and the manual assistance module provides the doctor's contact information, promotes direct communication between doctors and patients, helps to establish a closer doctor-patient relationship, and improves patients' trust and satisfaction.

[0015] The history record module of the present invention allows doctors to access past consultation records and quickly locate specific information through the screening unit and search unit functions, which helps doctors track changes in patients' conditions and provide strong support for subsequent medical services. When faced with major medical events or difficult diseases, the system can quickly provide consultation support to grassroots doctors to meet their timely consultation needs, which helps to improve the level of grassroots medical care and service quality. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0017] Figure 1 It is a system flow chart of the present invention. DETAILED DESCRIPTION

[0018] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0019] It should be noted that the structures, proportions, sizes, etc. illustrated in the drawings of this specification are only used to match the contents disclosed in the specification for people familiar with this technology to understand and read, and are not used to limit the conditions under which this application can be implemented. Therefore, they have no substantive technical significance. Any structural modification, change in proportional relationship or adjustment of size should still fall within the scope of the technical content disclosed in this application without affecting the effects and purposes that can be achieved by this application. Example

[0020] See also Figure 1 The present invention provides a technical solution: an intelligent medical consultation system based on artificial intelligence technology, comprising a user module, a processing module, a learning module, a manual assistance module and a historical record module; the user module is connected to the processing module, the processing module is connected to the learning module, the learning module is connected to the manual assistance module, and the manual assistance module is connected to the historical record module; User module, used to enter the doctor's personal information; The user module includes a login unit and a registration unit; The login unit is connected to the registration unit; Login unit, used by new users to create their accounts in the system; The registration unit is used for registered users to access the system by entering a user name and password.

[0021] A processing module for matching medical solutions to posed problems; The processing module includes a question analysis unit and an answer generation unit; The question analysis unit is connected to the answer generation unit, and doctors can accurately input medical problems through a professional interface; The problem analysis unit is used to receive medical problems input by doctors, use advanced NLP algorithms to deeply analyze the problems, accurately capture keywords and intentions, and connect to MySQL or MongoDB databases to quickly search and match authoritative medical solutions, which can quickly search and match authoritative medical solutions and achieve instant feedback; The answer generation unit is used to synthesize the information and generate a complete answer; The process of the answer generation unit integrates the question understanding and answer generation technology of GPT-4 or similar NLP models, and ensures accurate question parsing through word segmentation, keyword extraction and intent recognition. The database not only stores medical questions and answers, but also covers doctor information and contact information, providing solid support for doctor-patient communication.

[0022] The user inputs the content, accurately extracts keywords and intentions, and then quickly retrieves relevant information from the huge medical knowledge base to ensure that accurate and detailed answers are provided to users; The learning module is used to regularly extract data from the feedback library and continuously optimize system performance using machine learning algorithms; The learning module includes a satisfaction evaluation unit and a suggestion unit. Doctors can provide feedback after answering questions, allowing doctors to directly evaluate their satisfaction and provide suggestion feedback based on the system's answers. The satisfaction evaluation unit and suggestion unit are connected; Satisfaction evaluation unit, used to collect doctors’ feedback on the system; The suggestion unit is used to provide personalized suggestions or solutions to the system. The feedback data is securely stored in the feedback database as a key input for subsequent system training and optimization.

[0023] Regularly extract data from the feedback library, use machine learning algorithms to continuously optimize system performance, ensure the professionalism, accuracy and practicality of system answers, and promote the intelligent upgrade of medical consulting services.

[0024] The manual assistance module is used to provide the doctor's contact information for direct online communication. The core data structure of the manual assistance module is the contact information table, which records the department ID, doctor ID, name, contact information, professional field and update time in detail; The manual assistance module includes a judgment unit and a retrieval unit; The judging unit is connected to the searching unit; The judgment unit is used to evaluate the questions raised by the doctor and determine whether manual intervention is needed; The retrieval unit is used to retrieve and recommend doctors from relevant departments and provide contact information. When faced with unanswered questions, the system first identifies its type, then intelligently retrieves the contact information table, accurately matches and recommends doctors from relevant departments, promotes direct online communication between patients and experts, and optimizes the allocation and utilization efficiency of medical resources.

[0025] The history module allows doctors to access past consultation records. The interface displays a list of historical questions with timestamps and brief descriptions for easy overview.

[0026] The history record module includes a screening unit and a search unit; The screening unit is connected to the searching unit; A screening unit is used to classify and organize the doctor's historical consultation records; The search unit is used to input keywords, disease names or time ranges to retrieve relevant consultation records.

[0027] The screening unit and search unit support precise retrieval based on time, keywords and other conditions, optimizing the efficiency of information location. Doctors can view detailed answers and related feedback and follow-up information to ensure information continuity. The overall process emphasizes the accuracy of data retrieval and the smoothness of user experience, improving the professionalism and efficiency of medical consulting services.

[0028] The present invention also provides a method of an intelligent medical consultation system based on artificial intelligence technology, comprising the following steps: S1. Log in to the system and register doctor information; doctor information includes the doctor's name, work unit, professional field and professional expertise.

[0029] In the backend management system of the Internet hospital, the administrator first authenticates his identity, then logs into the system and registers the detailed information of each doctor. Through the functions provided by the backend management system, the administrator can efficiently enter and maintain the comprehensive information of the doctors, ensuring that the information of each doctor is accurate and updated in a timely manner; S2. After logging in, the user enters the question input interface and uses AI natural language processing to input medical-related questions. The system intelligently identifies the question content, extracts keywords and intentions, retrieves relevant information from the medical knowledge base and provides accurate answers. At the same time, the user can access the clear and intuitive question input interface by downloading and installing the APP of this system. S3. After checking the system's answer, the doctor provides personal evaluation and suggestions through the satisfaction evaluation unit or suggestion unit. The system receives and securely stores the feedback data. After checking the system's answer, the doctor can evaluate the quality, relevance and satisfaction of the answer with a simple click, and can selectively provide suggestions. The feedback data will be automatically captured by the system and encrypted and stored in a dedicated feedback database, providing solid data support for subsequent natural language processing model training and optimization.

[0030] S4. The system regularly extracts data from the feedback database to optimize the system, monitors new progress in the medical field, and dynamically updates the question table and answer table. The system regularly extracts valuable data samples from the feedback database and conducts in-depth training on the natural language processing model to enhance its ability to understand complex problems and the accuracy of answers. The learning module also has an intelligent monitoring function that can capture new progress and hot issues in the medical field in real time, incorporate the latest research results and clinical cases into the knowledge base, and dynamically update the question table and answer table to ensure the timeliness and comprehensiveness of medical service information. S5. When the system cannot directly answer a question, the manual assistance module is activated to search and recommend doctors in related departments and provide contact information to promote communication between doctors and patients. The manual assistance module will intelligently analyze and recommend the most suitable doctors in related departments based on the type and keywords of the question. Subsequently, the system will display the contact information of doctors in related departments, including but not limited to telephone, email and online chat links, so that patients can quickly establish contact with doctors and obtain professional medical consultation and guidance.

[0031] S6. Doctors visit the history page to view an overview of past questions, use the filter unit and search unit to quickly locate specific information, and expand to view detailed answers and related feedback and follow-up information.

[0032] After logging in, doctors can easily access this page to view the overview of past questions, including the time of questioning, a brief description of the question, and the status of the answer. If they need to find specific information in depth, doctors can use the diverse screening tools provided by the system, such as time range screening, keyword search, etc., to quickly locate the target question. After selecting a question, doctors can further expand to view detailed answers, patient feedback, and subsequent follow-up information, etc., to provide strong support for the continuous improvement and personalized customization of medical services.

[0033] When faced with major medical events or difficult diseases, this system can reduce the time required for consultation and meet the timely consultation needs of primary care doctors.

[0034] In summary, the system can quickly parse medical problems entered by doctors, accurately capture keywords and intentions, and quickly retrieve relevant information from the huge medical knowledge base to provide doctors with accurate and detailed answers, thereby greatly shortening the time required for consultation. The processing module can accurately match and recommend doctors from related departments, and promote direct online communication between patients and experts, which not only improves the utilization efficiency of medical resources, but also makes it easier for patients to obtain professional medical advice and guidance.

[0035] The system allows doctors to evaluate their satisfaction with the system's answers and provide suggestions and feedback, and regularly extracts data from the feedback library. It uses machine learning algorithms to continuously optimize system performance, ensuring the professionalism, accuracy, and practicality of the system's answers, promoting the intelligent upgrade of medical consulting services, and the manual assistance module provides the doctor's contact information, promotes direct communication between doctors and patients, helps to establish a closer doctor-patient relationship, and improves patients' trust and satisfaction.

[0036] The history record module allows doctors to access past consultation records and quickly locate specific information through the screening unit and search unit functions, which helps doctors track changes in patients' conditions and provide strong support for subsequent medical services. When faced with major medical events or difficult diseases, this system can quickly provide consultation support to primary doctors to meet their timely consultation needs, which helps to improve primary medical care and service quality.

[0037] It will be appreciated by those skilled in the art that the features described in the various embodiments and / or claims of the present invention may be combined and / or combined in various ways, even if such combinations and / or combinations are not explicitly described in the present invention. In particular, the features described in the various embodiments and / or claims of the present invention may be combined and / or combined in various ways without departing from the spirit and teachings of the present invention. All of these combinations and / or combinations fall within the scope of the present invention.

Claims

1. An intelligent medical consultation system based on artificial intelligence technology, characterized by: It includes user module, processing module, learning module, manual assistance module and history record module; The user module is connected to the processing module, the processing module is connected to the learning module, the learning module is connected to the manual assistance module, and the manual assistance module is connected to the historical record module; The user module is used to input the doctor's personal information; The processing module is used to match medical solutions to the proposed problems; The learning module is used to regularly extract data from the feedback library and continuously optimize system performance using a machine learning algorithm; The manual assistance module is used to provide the doctor's contact information for direct online communication; The history record module is used for doctors to access past consultation records.

2. The intelligent medical consultation system and method based on artificial intelligence technology according to claim 1, characterized in that: The user module includes a login unit and a registration unit; The login unit is connected to the registration unit; The login unit is used for new users to create their accounts in the system; The registration unit is used for a registered user to access the system by inputting a user name and password.

3. The intelligent medical consultation system and method based on artificial intelligence technology according to claim 2, characterized in that: The processing module includes a question analysis unit and an answer generation unit; The question analysis unit is connected to the answer generation unit; The problem analysis unit is used to receive medical problems input by doctors, use advanced NLP algorithms to deeply analyze the problems, accurately capture keywords and intentions, and connect to MySQL or MongoDB databases to quickly search and match authoritative medical solutions; The answer generation unit is used to integrate the information and generate a complete answer.

4. The intelligent medical consultation system and method based on artificial intelligence technology according to claim 3, characterized in that: The learning module includes a satisfaction evaluation unit and a suggestion unit; The satisfaction evaluation unit is connected to the suggestion unit; The satisfaction evaluation unit is used to collect doctors' feedback on the system; The suggestion unit is used to provide personalized suggestions or solutions for the system.

5. The intelligent medical consultation system and method based on artificial intelligence technology according to claim 4, characterized in that: The manual assistance module includes a judgment unit and a retrieval unit; The judgment unit is connected to the retrieval unit; The judgment unit is used to evaluate the questions raised by the doctor and determine whether manual intervention is required; The retrieval unit is used to retrieve and recommend doctors in related departments and provide contact information.

6. The intelligent medical consultation system and method based on artificial intelligence technology according to claim 5, characterized in that: The history record module includes a screening unit and a search unit; The screening unit is connected to the searching unit; The screening unit is used to classify and organize the doctor's historical consultation records; The search unit is used to input keywords, disease names or time ranges to retrieve relevant consultation records.

7. A method of an intelligent medical consultation system based on artificial intelligence technology according to any one of claims 1 to 6, characterized in that: The following steps are involved: S1. Log in to the system and register doctor information; S2. After logging in, the user enters the question input interface and uses AI natural language processing to input medical-related questions. The system intelligently identifies the question content, extracts keywords and intent, retrieves relevant information from the medical knowledge base, and provides accurate answers. S3. After checking the system's answer, the doctor provides personal evaluation and suggestions through the satisfaction evaluation unit or suggestion unit, and the system receives and securely stores the feedback data; S4. The system regularly extracts data from the feedback database to optimize the system, monitors new progress in the medical field, and dynamically updates the question table and answer table; S5. When the system cannot directly answer questions, the manual assistance module is activated to retrieve and recommend doctors from relevant departments and provide contact information to facilitate communication between doctors and patients; S6. Doctors visit the history page to view an overview of past questions, use the filter unit and search unit to quickly locate specific information, and expand to view detailed answers and related feedback and follow-up information.

8. The method of the intelligent medical consultation system based on artificial intelligence technology according to claim 7 is characterized by: In S1, the doctor information includes the doctor's name, work unit, professional field and professional expertise.

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