A symptom-based triage method

Abstract

This invention discloses a symptom-based triage method, belonging to the field of medical information technology. This invention establishes gender-segregated, interactive 3D human body models, constructs a body part-symptom-disease database and a doctor-disease-symptom database, and integrates these data to form an automatic matching engine. Patients only need to select the affected body part and corresponding symptoms, and the system can intelligently recommend departments and doctors and complete the registration process. This invention transforms traditional directory-based triage into intuitive, visual, and interactive triage, reducing the rate of incorrect registrations, improving registration efficiency and the patient experience, and is applicable to online and offline registration and triage scenarios in medical institutions at all levels.

Description

Technical Field

[0001] This invention relates to the field of medical information technology, specifically to an intelligent triage method based on matching human three-dimensional models with symptoms. Background Technology

[0002] Currently, most hospital registration systems use a triage model based on hospital departments and disciplines. Patients must first select a department, then consult a doctor and complete the registration. While this model is applicable to common and typical symptoms, it is ineffective for ambiguous symptoms, unclear locations, or cross-departmental conditions. Ordinary patients, lacking medical expertise, often struggle to accurately determine the appropriate department, leading to problems such as incorrect registration, repeated cancellations, re-registration, and cumbersome procedures. This not only wastes registration and medical resources but also prolongs waiting times and reduces the overall patient experience.

[0003] Current technologies lack intelligent triage methods that use patient symptoms as the entry point and body parts as the intuitive interactive interface. They cannot achieve automatic matching and recommendation of "body part-symptom-disease-department-doctor," resulting in insufficient intelligence, user-friendliness, and precision. Therefore, developing a symptom-based triage method that is simple to operate, accurate in matching, and suitable for ordinary patients has significant application value. Summary of the Invention

[0004] Purpose of the invention To address the problems of difficulty in selecting departments, low matching accuracy, cumbersome registration process, and easy registration errors in existing catalog-based triage, this invention provides a symptom-based triage method. Through interaction with a 3D human body model, symptom classification matching, and data fusion comparison, it achieves intuitive, intelligent, and accurate triage, improves registration efficiency, reduces the rate of registration errors, and enhances the patient experience.

[0005] Technical solution A symptom-based triage method includes the following steps: 1. Establish gender-specific 3D interactive human body models. The models support 360° rotation, part selection, and local scaling. They can display internal organ structures in layers and set an upper limit on the number of parts that can be selected simultaneously. 2. Establish a human body structure-disease database, classify and label diseases according to major symptoms, minor symptoms, and uncommon symptoms, and correspond them one-to-one with parts of the human body 3D model; 3. Establish a doctor-disease-symptom database, and enter doctors' information into the database by tagging them according to their professional areas, diseases they are good at, and symptoms they are good at, while maintaining consistent naming with the disease database; 4. Integrate and match data from the human body structure-disease database with the doctor-disease-symptom database to form an integrated matching relationship of location-symptom-disease-department-doctor; 5. Patients select the affected area and corresponding symptoms on the registration terminal, and the system automatically matches and recommends on-duty doctors to complete the registration and triage process. Beneficial effects

[0006] 1. Intuitive Interaction: Using a 3D human body model as the entry point, it can be operated without medical knowledge, lowering the barrier to entry; 2. Precise triage: Automatically matches the corresponding department and doctor based on the location and symptoms, significantly reducing the rate of incorrect appointments; 3. Simplified process: Eliminates the need for departmental search, assessment, and consultation, shortening the decision-making time for registration; 4. Resource optimization: Improve the utilization rate of appointment slots and the matching degree of doctors' patient reception, and reduce resource waste; 5. Highly adaptable: It can be used with multiple terminals such as hospital HIS systems, mobile apps, mini programs, and self-service machines. Detailed Implementation

[0007] 1. Create a 3D model of the human body Separate standard 3D human body models for males and females are created, supporting 360° rotation, click-to-highlight, and zoom in / out of specific areas. The models are divided into regions based on human anatomy, including the head, chest, upper limbs, abdomen, lower limbs, back, and pelvis, with further detail available for internal organs. An upper limit on the number of simultaneously selectable body parts can be set according to hospital needs to ensure accurate matching.

[0008] 2. Establish a disease database Common diseases are standardized and organized, and the main, secondary, and uncommon symptoms of each disease are extracted. These symptoms are then linked to corresponding parts of the human body in a 3D model, forming a database of "part-symptom-disease-department" correspondences. For example, the main symptoms of a cold are headache and nasal congestion, which are associated with the head; abdominal pain and bloating are associated with the abdomen; and joint pain is associated with the corresponding limbs.

[0009] 3. Establish a doctor database Collect doctors' basic information, practice departments, diseases they specialize in, symptoms they specialize in, and consultation hours to form a "doctor-department-disease-symptom" database. This ensures that the terminology of disease names and symptom descriptions is consistent with that in the disease database, and achieves accurate association between doctors and symptoms and diseases.

[0010] 4. Data fusion and matching The system compares and merges the disease database with the doctor database to establish multi-condition combination matching rules. Based on the patient's selected combination of body part and symptoms, the system sorts the results by matching degree weight and prioritizes outputting on-call doctors with high matching degree who can treat the patient.

[0011] 5. Triage and registration system implemented Patients enter the registration system, select the corresponding gender 3D human body model, click on the uncomfortable area, check the relevant symptoms, and the system automatically searches and recommends departments and doctors; patients select doctors and confirm, completing the registration process.

Claims

1. A symptom-based triage method, characterized in that, Includes the following steps: Establish a gender-differentiated 3D interactive human body model, which supports 360° rotation, part selection, local scaling, and internal structure unfolding; Construct a human body structure-disease database, classify diseases according to major symptoms, minor symptoms, and uncommon symptoms, and associate them with corresponding human body parts; Build a doctor-disease-symptom database, and uniformly label and store doctors' specialties, diseases they are good at, and symptoms they are good at in the database; By integrating the human body structure-disease database with the doctor-disease-symptom database, a matching relationship between location-symptom-disease-department-doctor is formed; Patients can select the location and symptoms of their discomfort, and the system will automatically match and recommend doctors and complete the triage and registration process.

2. The method according to claim 1, characterized in that, The human 3D model can be selected by section, including head, chest, abdomen, upper limbs, lower limbs, back, and pelvis, and an upper limit can be set for the number of parts that can be selected at the same time.

3. The method according to claim 1, characterized in that, In the disease database, each symptom is uniquely bound to a corresponding part of the human body in a 3D model.

4. The method according to claim 1, characterized in that, The doctor database and the disease database use unified disease names and symptom descriptions to achieve data interoperability and accurate matching.

5. The method according to claim 1, characterized in that, The system supports single-site, multi-site, single-symptom, and multi-symptom combination searches, and outputs recommended results in a weighted order of matching degree.

6. The method according to claim 1, characterized in that, The method can be integrated with hospital registration systems, mobile apps, WeChat mini-programs, and self-service terminals to achieve multi-channel triage and registration.

7. The method according to claim 1, characterized in that, It can be added to or adapted to triage, registration, physical examination and other systems of medical institutions at all levels and of all types according to actual needs.