NCT07740044

Brief 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.

Trial Health

63
Monitor

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Enrollment
20

participants targeted

Target at below P25 for not_applicable coronary-artery-disease

Timeline
4mo left

Started Aug 2026

Shorter than P25 for not_applicable coronary-artery-disease

Geographic Reach
1 country

1 active site

Status
not yet recruiting

Health score is calculated from publicly available data and should be used for screening purposes only.

Trial Relationships

Click on a node to explore related trials.

Study Timeline

Key milestones and dates

First Submitted

Initial submission to the registry

July 20, 2026

Completed
11 days until next milestone

First Posted

Study publicly available on registry

July 31, 2026

Completed
17 days until next milestone

Study Start

First participant enrolled

August 17, 2026

Expected
1 month until next milestone

Primary Completion

Last participant's last visit for primary outcome

September 30, 2026

2 months until next milestone

Study Completion

Last participant's last visit for all outcomes

November 30, 2026

Last Updated

July 31, 2026

Status Verified

July 1, 2026

Enrollment Period

1 month

First QC Date

July 20, 2026

Last Update Submit

July 27, 2026

Conditions

Outcome Measures

Primary Outcomes (1)

  • expert overall scores

    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.

    through study completion, an average of 3 months.

Secondary Outcomes (10)

  • accuracy of condition assessment

    through study completion, an average of 3 months.

  • reasonableness of test recommendations

    through study completion, an average of 3 months.

  • reasonableness of treatment plans

    through study completion, an average of 3 months.

  • appropriateness of management choices

    through study completion, an average of 3 months.

  • scientific nature of patient education content

    through study completion, an average of 3 months.

  • +5 more secondary outcomes

Study Arms (2)

LLM-Assisted Intervention Group

ACTIVE COMPARATOR

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

Device: Medical large language model

Usual Care Control Group

NO INTERVENTION

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

Interventions

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.

LLM-Assisted Intervention Group

Eligibility Criteria

Age18 Years - 65 Years
Sexall
Healthy VolunteersNo
Age GroupsAdult (18-64), Older Adult (65+)

You may qualify if:

  • Work experience of 3 years or more;
  • Able to complete the case assessment tasks required by the study;
  • Have a practicing doctor qualification;
  • Work at a township health center or community health service center;
  • Voluntarily participate in the study and sign the informed consent form.

You may not qualify if:

  • N/A

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (1)

The Affiliated Taizhou People's Hospital of Nanjing Medical University

Taizhou, Jiangsu, 225300, China

Location

MeSH Terms

Conditions

Coronary Artery DiseaseAtrial FibrillationHeart FailureStroke

Condition Hierarchy (Ancestors)

Coronary DiseaseMyocardial IschemiaHeart DiseasesCardiovascular DiseasesArteriosclerosisArterial Occlusive DiseasesVascular DiseasesArrhythmias, CardiacPathologic ProcessesPathological Conditions, Signs and SymptomsCerebrovascular DisordersBrain DiseasesCentral Nervous System DiseasesNervous System Diseases

Central Study Contacts

Study Design

Study Type
interventional
Phase
not applicable
Allocation
RANDOMIZED
Masking
SINGLE
Who Masked
OUTCOMES ASSESSOR
Purpose
OTHER
Intervention Model
PARALLEL
Sponsor Type
OTHER
Responsible Party
SPONSOR

Study Record Dates

First Submitted

July 20, 2026

First Posted

July 31, 2026

Study Start (Estimated)

August 17, 2026

Primary Completion (Estimated)

September 30, 2026

Study Completion (Estimated)

November 30, 2026

Last Updated

July 31, 2026

Record last verified: 2026-07

Data Sharing

IPD Sharing
Will not share

Locations