Last reviewed · How we verify
NCT06823765
Can Feedback From a Large Language Model Improve Health Care Quality?
NA trial testing Large Language Model Clinical Decision Support in All Conditions in 491 participants. Completed in 17 October 2025.
17 October 2025
Quick facts
| Lead sponsor | Yale University |
|---|---|
| Phase | NA |
| Status | Completed |
| Study type | INTERVENTIONAL |
| Allocation | na |
| Design | single group |
| Masking | none |
| Primary purpose | health services research |
| Enrollment | 491 |
| Start date | 30 January 2025 |
| Primary completion | 17 October 2025 |
| Estimated completion | 17 October 2025 |
| Sites | 2 locations across Nigeria |
Drugs / interventions tested
- Large Language Model Clinical Decision Support
Conditions studied
- All Conditions — all drugs for All Conditions →
Sponsor
Yale University
Who can join
Eligibility, any sex, with All Conditions. Patients with the condition only — healthy volunteers not accepted.
Sponsor's own description
The goal of this study is to learn if computer-assisted advice can help improve patient care in Nigerian health clinics. The main question it aims to answer is: does giving healthcare workers instant computer feedback help them make better decisions about patient care? Researchers will compare patient care notes written by healthcare workers before and after they receive computer feedback to see if the feedback improves care quality. A doctor who doesn't know if feedback was given will review these notes. Participants will: * Be seen by a community healthcare worker who uses the computer feedback system * Be treated by a fully trained medical doctor * Get tested for malaria, anemia, or urinary tract infections if they have certain symptoms
Publications & conference data
No peer-reviewed publications indexed yet for this trial. Completed trials usually publish results within 12-18 months.
Verify or expand the search:
- PubMed search for NCT06823765
- Europe PMC full search
- ASCO Meeting Library
- ESMO Meeting Library
- bioRxiv preprints
- medRxiv preprints
- Google Scholar
Related trials
Other recruiting trials for All Conditions
Currently open trials in the same condition.
- NCT07173114 — New Approaches for Evaluating the Interchangeability of Reference Materials and Quality Controls (COMET-MPL) · recruiting
- NCT06617533 — Evaluation of the Primary Care First Model · active not recruiting
Other Yale University trials
Trials by the same sponsor.
- NCT06900998 — Pilot Study: Effects of Nimodipine on Alcohol Drinking · Phase 2 · not yet recruiting
- NCT04910984 — Developing a Chatbot to Promote HIV Testing · NA · not yet recruiting
- NCT07458087 — Accuracy of the Accuro 3S · NA · not yet recruiting
- NCT07398404 — A Multiple Health Behavior Change (MHBC) Intervention for Weight Loss and Smoking Cessation for Pre-Bariatric Surgery Pa · Phase 1, PHASE2 · not yet recruiting
- NCT07305324 — Improving Liver Fibrosis Diagnosis in Primary Care Using FibroX AI · NA · not yet recruiting
Verify against primary sources
- ClinicalTrials.gov — authoritative US registry record
- WHO ICTRP — international registry index
- EU Clinical Trials Register
- Sponsor press releases (Google)
- Trial protocol + status: ClinicalTrials.gov NCT06823765 (US National Library of Medicine, public domain)
- Drug + disease cross-links: matched in real time against Drug Landscape's normalised drug + company + condition tables
- Sponsor: as reported to ClinicalTrials.gov by Yale University
- Last refreshed: 3 February 2026
Drug Landscape aggregates and links these public records for informational use only. Always verify against the primary source before clinical or regulatory decisions. Canonical URL: https://druglandscape.com/trial/NCT06823765.
Primary sources · FDA · ClinicalTrials.gov · EMA · SEC EDGAR · ChEMBL · Wikidata · full sourcing