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

NCT07740044 · Status: NOT_YET_RECRUITING · Phase: NA · Type: INTERVENTIONAL · Enrollment: 20

Last updated 2026-07-31

No results posted yet for this 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.

Conditions

Interventions

DEVICE

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.

Sponsors & Collaborators

  • Jiangsu Taizhou People's Hospital

    lead OTHER

Study Design

Allocation
RANDOMIZED
Purpose
OTHER
Masking
SINGLE
Model
PARALLEL

Eligibility

Min Age
18 Years
Max Age
65 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2026-08-17
Primary Completion
2026-09-30
Completion
2026-11-30

Countries

  • China

Study Locations

More Related Trials

Entities

Diseases

Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT07740044 on ClinicalTrials.gov