Medical Large Language Model-Assisted Diagnosis and Treatment in Primary Care Chronic Disease Management

Sponsor
Jiangsu Taizhou People's Hospital
Study ID
NCT07740044
Status
Not Yet Recruiting

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Conditions

Eligibility Criteria

Sex
ALL
Age
18 Years - 65 Years
Healthy Volunteers
Not accepted

Interventions

  • Medical large language model — DEVICE
    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 Details

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.

Key Dates

First listed
Jul 31, 2026
Start date
Aug 17, 2026
Status verified
Jul 2026
Primary completion
Sep 30, 2026
Completion
Nov 30, 2026

Study Design

Enrollment
20 participants (estimated)
Allocation
RANDOMIZED
Intervention model
PARALLEL
Primary purpose
OTHER

Arms

  • Active Comparator: LLM-Assisted Intervention Group
    Primary care doctors creating management plans for chronic diseases (coronary heart disease, atrial fibrillation, heart failure, stroke) with the help of large medical language models
  • No Intervention: Usual Care Control Group
    Primary care doctors creating management plans for chronic diseases (coronary heart disease, atrial fibrillation, heart failure, stroke) without the help of a large medical language model

Primary Outcome Measure

expert overall scores [ Time Frame: through study completion, an average of 3 months. ]

Central Contacts

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