LLM-Assisted Diabetes and Hypertension Management by Village Doctors
Large Language Model-Assisted Decision Support for Improving Village Doctors' Integrated Management of Patients With Type 2 Diabetes and Hypertension: A Randomized Controlled Study
1 other identifier
interventional
20
0 countries
N/A
Brief Summary
This is a prospective, assessor-blinded, randomized controlled study designed to evaluate whether large language model (LLM)-assisted decision support can improve village doctors' abilities in the comprehensive management of patients with type 2 diabetes mellitus and hypertension. For each standardized clinical case, two village doctors will independently review the same patient information and develop management plans. An independent statistician will randomly assign one doctor to receive LLM-assisted decision support, while the other will complete the assessment without assistance. All management plans and questionnaire responses will be de-identified and evaluated by an independent expert panel blinded to group allocation. The study will compare the quality of clinical decision-making, risk assessment, treatment recommendations, and follow-up planning between the LLM-assisted and control groups.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at below P25 for not_applicable type-2-diabetes-mellitus
Started Jul 2026
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
June 21, 2026
CompletedFirst Posted
Study publicly available on registry
July 1, 2026
CompletedStudy Start
First participant enrolled
July 1, 2026
CompletedPrimary Completion
Last participant's last visit for primary outcome
July 7, 2026
CompletedStudy Completion
Last participant's last visit for all outcomes
July 14, 2026
CompletedJuly 1, 2026
June 1, 2026
6 days
June 21, 2026
June 25, 2026
Conditions
Outcome Measures
Primary Outcomes (1)
Percentage of case assessments in which the LLM-assisted management plan is preferred over the non-assisted management plan according to a blinded expert preference assessment form
Blinded endocrinology experts will independently compare paired management plans using a standardized Expert Preference Assessment Form. For each case, experts will classify the paired plans as "LLM-assisted preferred," "No meaningful difference," or "Non-assisted preferred." The primary outcome is the percentage of non-tied case assessments in which the LLM-assisted management plan is preferred.
Immediately after completion of case assessment
Study Arms (2)
LLM-Assisted Group
EXPERIMENTALControl Group
NO INTERVENTIONInterventions
Village doctors receive large language model (LLM)-assisted decision support when assessing standardized patient cases and developing management plans.
Eligibility Criteria
You may qualify if:
- Certified village doctors or primary care physicians practicing in rural primary healthcare institutions;
- At least 1 year of experience in the management of chronic diseases, including type 2 diabetes mellitus and hypertension;
- Able to complete the case assessment tasks required by the study;
- Willing to participate in the study and provide informed consent.
You may not qualify if:
- None.
Contact the study team to confirm eligibility.
Sponsors & Collaborators
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
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
June 21, 2026
First Posted
July 1, 2026
Study Start
July 1, 2026
Primary Completion
July 7, 2026
Study Completion
July 14, 2026
Last Updated
July 1, 2026
Record last verified: 2026-06