CN-121583570-B - Intelligent family doctor recommendation method, system and storage medium

CN121583570BCN 121583570 BCN121583570 BCN 121583570BCN-121583570-B

Abstract

The invention belongs to the technical field of medical big data systems, and particularly relates to an intelligent home doctor recommending method, an intelligent home doctor recommending system and a storage medium. The invention represents the matching degree of doctors and patients based on dynamic comprehensive scores, and specific indexes included in the dynamic comprehensive scores comprise capability matching degree, space-time matching degree and economic matching degree. The invention can dynamically evaluate the matching degree of the patient and the doctor, can fully apply the existing medical big data resource to make objective and accurate judgment, thereby assisting the patient to efficiently find the family doctor which is most suitable for the patient, and has good application prospect.

Inventors

PANG LINGYAN
ZHANG BICHENG
Wu dean
WANG JUE
CHEN JINGLIN
CHEN YING
GE XIAOYUE
ZHANG XIANYAO
WU YUHANG

Assignees

四川大学华西医院

Dates

Publication Date: 20260505
Application Date: 20260129

Claims (6)

1. The intelligent family doctor recommending method is characterized in that the matching degree of a doctor and a patient is represented based on a dynamic comprehensive score, and the calculation formula of the dynamic comprehensive score is as follows: Wherein the said As the weight of the material to be weighed, As a specific index of the materials, Specifically, the method comprises the following three steps of capability matching degree Degree of space-time matching And economic matching degree ; The calculation formula of the capability matching degree is as follows: Wherein, the For the history of the doctor to score, In order to take over the saturation level of the sheet, A degree of disease association calculated based on the medical knowledge graph; The said The calculation method of (1) is as follows: Wherein, the Representing a collection of chronic diseases that the patient has, The representation belongs to A specific disease of (a); The specialized field indicating the physician's expertise, The representation belongs to A specific disease of (a); to treat diseases in medical knowledge graph An associated diagnosis and treatment path is provided, Representing nodes from current disease in medical knowledge graph The longest path length to the associated node; the calculation formula of the space-time matching degree is as follows: Wherein, the The latitude and longitude of the residence for the patient, Latitude and longitude for the residence of doctors; HAVERSINE distance calculated according to longitude and latitude of doctors and places where patients live is measured in km; as a distance attenuation factor, Is the expected response time; The average response time is given in h; Maximum response time allowed for the physician of the system; the calculation formula of the economic matching degree is as follows: Wherein, the For the budget of the patient, The price of the doctor going out to be treated, Scoring patient compliance; Pressing the button A list of doctors is arranged in a descending order, and the doctor ranked first is selected to be recommended to the patient if a plurality of doctors The same is ranked first and all recommendations are for patient selection.
2. The intelligent home doctor recommendation method according to claim 1, wherein the specific disease type is based on ICD-10 encoded representation.
3. The intelligent family doctor recommending method according to claim 1, wherein the weight is dynamically adjusted in the following way: If it is The importance ranking of the specific indexes is sequentially from high to low, namely capability matching degree, space-time matching degree and economic matching degree; If it is =3, The importance of the specific index is ranked as capability matching higher than economic matching and space-time matching; If it is The importance ranking of the specific indexes is sequentially from high to low, namely economic matching degree, capability matching degree and space-time matching degree; Wherein, the Is the degree of urgency.
4. The intelligent family doctor recommending method according to claim 3, wherein the weight dynamic adjusting method is as follows: If it is The weights of the economic matching degree, the capacity matching degree and the space-time matching degree are as follows in sequence: ; If it is The weight of the economic matching degree, the capacity matching degree and the space-time matching degree is W= [0.3,0.4,0.3] in sequence; If it is The weights of the economic matching degree, the capacity matching degree and the space-time matching degree are as follows in sequence: 。
5. An intelligent home doctor recommendation method system, integrated with a module for implementing the intelligent home doctor recommendation method according to any one of claims 1 to 4, comprising: The data acquisition module is configured to acquire data of a patient and a doctor and access medical knowledge graph data; a dynamic composite score calculation module configured to calculate a dynamic composite score; and a recommendation module configured to recommend a doctor to the patient based on the dynamic composite score.
6. A computer-readable storage medium having stored thereon a computer program for implementing the intelligent family doctor recommendation method of any one of claims 1-4.

Description

Intelligent family doctor recommendation method, system and storage medium Technical Field The invention belongs to the technical field of medical big data systems, and particularly relates to an intelligent home doctor recommending method, an intelligent home doctor recommending system and a storage medium. Background In the traditional medical service mode, patients need to visit the links of registering, waiting for diagnosis, visiting the diagnosis, checking the results, paying fee, treating, taking medicine, leaving the hospital, visiting the diagnosis again and the like, and the consumption of non-medical time is far longer than the diagnosis and treatment time. With the development of medical industry technology and Internet technology, a data and information platform system is introduced into the medical and health industry, so that the medical technology level is improved, and digital medical resources and medical information are shared, thereby solving the problems. The household doctor service system can realize grading diagnosis and treatment, and plays a remarkable role in reducing medical cost, optimizing sanitary resource utilization, improving the health condition of the whole people and the like. A family doctor is a team consisting of members of general doctors, team secretary, specialists, public and defender doctors, etc., who typically provide services to contracted patients in team form. The family doctor carries out comprehensive, continuous, effective, timely and personalized medical care service on the service object, has comprehensive and systematic prevention, health care, medical treatment and rehabilitation knowledge, has stronger language expression capability, interpersonal communication capability and work coordination capability, and can provide timely and effective health service in full life cycle. The family doctor provides personalized preventive, health care, treatment, rehabilitation and health education services and guidance, so that the general patients can solve daily health problems and health care requirements without going out, and can obtain services such as family treatment, family rehabilitation and nursing and the like. In the prior art, a family doctor recommending and managing system for perfectly utilizing medical big data is not known, and is characterized in that the auxiliary effect of artificial intelligence is not considered, the dynamic association of the family doctor big data information and the whole medical big data information is poor, the development of the service of the family doctor is not facilitated, the related system of the current family doctor is still standardized service, and the optimal medical resource is not matched for each patient, so that the problem that a patient cannot be matched with the proper family doctor possibly occurs. Therefore, developing a new intelligent family doctor recommendation system to achieve personalized family doctor matching for individual patients is a problem in the art that needs to be solved. Disclosure of Invention Aiming at the problems in the prior art, the invention provides an intelligent home doctor recommending method, an intelligent home doctor recommending system and a storage medium. An intelligent family doctor recommending method, which is used for representing the matching degree of a doctor and a patient based on a dynamic comprehensive score, wherein the calculation formula of the dynamic comprehensive score is as follows: Wherein the said As the weight of the material to be weighed,As a specific index of the materials,Specifically, the method comprises the following three steps of capability matching degreeDegree of space-time matchingAnd economic matching degree。 Preferably, the calculation formula of the capability matching degree is as follows: Wherein, the For the history of the doctor to score,In order to take over the saturation level of the sheet,A degree of disease association calculated based on the medical knowledge graph; The said The calculation method of (1) is as follows: Wherein, the Representing a collection of chronic diseases that the patient has,The representation belongs toA specific disease of (a); The specialized field indicating the physician's expertise, The representation belongs toA specific disease of (a); to treat diseases in medical knowledge graph An associated diagnosis and treatment path is provided,Representing nodes from current disease in medical knowledge graphLongest path length to associated node. Preferably, the type of specific disease is based on ICD-10 encoded representation. Preferably, the calculation formula of the space-time matching degree is as follows: Wherein, the The latitude and longitude of the residence for the patient,Latitude and longitude for the residence of doctors; HAVERSINE distance calculated according to longitude and latitude of doctors and places where patients live is measured in km; as a distance attenuation facto