Testing an AI Tool to Help Primary Care Clinicians With Specialty Consultation Questions
Starting soon · Not applicable
Conditions studied: Decision Support Systems, Clinical, Referral and Consultation
In brief
The goal of this study is to test an artificial intelligence (AI) tool called SAGE. SAGE helps primary care doctors with questions that often need a specialist. Primary care doctors are the doctors people usually see first. SAGE reviews a case and suggests what a specialist might advise. The main questions it aims to answer are: * Do doctors make sound, timely care decisions when they use SAGE? * Do those decisions match what a specialist would advise? Researchers will compare the decisions doctors make with and without SAGE. Doctors in the study will: * Review made-up patient cases (these are not real patients) * Make a decision for each case, their usual way and with SAGE
Key facts
- Study ID
- NCT07706920
- Run by
- Stanford University
- People needed
- 15
- Starts
- 2026-07-01
- Expected to finish
- 2026-09-01
- Last updated by the study team
- 2026-07-16
Who can join
Age: 18 and older. Sex: any. Healthy volunteers: accepted.
You may qualify if…
- Physician practicing in primary care internal medicine and/or family medicine
- Attending physician, or resident physician at postgraduate year 2 (PGY-2) or higher
- Stanford-affiliated (faculty, staff, or trainee)
- Able to complete a single, approximately 60-minute remote (Zoom) session conducted in English
You may not qualify if…
- Not currently practicing in primary care internal medicine or family medicine
- Member of the study team or otherwise involved in the development of SAGE
- Unable to complete the remote study session
Where it is running
- Stanford University — Stanford, California, United States
Full record on ClinicalTrials.gov
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