Medical large language model: The primary care physicians in the intervention group completed the management decisions for chronic disease cases, including disease assessment, examination suggestions, treatment plans, selection of management methods, and health education, with the assistance of the medical LLM.
Study summary
This study aims to explore the feasibility of using medical large language models to assist in chronic disease management. By setting up experimental and control group interventions and having experts blindly evaluate anonymized cases, it compares different management approaches in chronic disease care, verifying the scientific basis, effectiveness, and potential for broader use of medical large language models in supporting chronic disease management.
Eligibility
Sex
ALL
Min age
18 Years
Max age
65 Years
Healthy volunteers
No
Inclusion Criteria:
1. Work experience of 3 years or more;
2. Able to complete the case assessment tasks required by the study;
3. Have a practicing doctor qualification;
4. Work at a township health center or community health service center;
5. Voluntarily participate in the study and sign the informed consent form.
Exclusion Criteria:
N/A
Primary outcome measure(s)
expert overall scores — through study completion, an average of 3 months. A total of 200 cases (50 each of coronary heart disease, atrial fibrillation, heart failure, and stroke) were grouped by disease type and independently evaluated in a blinded manner by three subspecialty experts. For each case, the two management plans were anonymized in the same way and then randomly labeled by a computer as Plan A and Plan B. Experts could only view the anonymized case information and the two corresponding anonymized management plans. They rated them using a Likert scale on several aspects: accuracy of condition assessment, reasonableness of test recommendations, reasonableness of treatment plans, appropriateness of management choices, scientific nature of patient education content, feasibility at the primary care level, overall clinical quality. Experts were instructed to rank the seven dimensions from lowest to highest quality. These ordinal rankings were then converted into standardized scores of 1 to 5. Higher scores mean better.
Trial sites (1)
Facility
City
Region
Status
The Affiliated Taizhou People's Hospital of Nanjing Medical University
Taizhou
Jiangsu
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This page summarises publicly available registry data for informational purposes — not medical advice. Eligibility is determined by each study team; patients should discuss participation with their clinician.
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