Testing an AI Tool to Help Primary Care Clinicians With Specialty Consultation Questions

Part of paid clinical trials in Stanford, California.

Sponsor
Stanford University
Study ID
NCT07706920
Status
Not Yet Recruiting

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Conditions

  • Decision Support Systems, Clinical
  • Referral and Consultation

Eligibility Criteria

Sex
ALL
Age
18 Years - N/A
Healthy Volunteers
Accepted

Interventions

  • SAGE (AI clinical decision support) — OTHER
    SAGE is an artificial intelligence (AI) based clinical decision support tool. It generates specialty-informed recommendations for a primary care consultation question. Physicians review the SAGE output while making a management decision for the synthetic case.
  • Standard eConsult — OTHER
    A standard electronic consultation (eConsult) format, without SAGE. Physicians review this information while making a management decision for the synthetic case.

Study Details

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 Dates

First listed
Jul 16, 2026
Start date
Jul 31, 2026
Status verified
Jul 2026
Primary completion
Sep 30, 2026
Completion
Sep 30, 2026

Study Design

Enrollment
15 participants (estimated)
Allocation
NA
Intervention model
SINGLE_GROUP
Primary purpose
HEALTH_SERVICES_RESEARCH

Arms

  • Experimental: Primary care physicians
    Primary care physicians make management decisions on synthetic patient cases. Each physician reviews four cases in random order: two with SAGE (AI clinical decision support) and two using a standard eConsult approach.

Primary Outcome Measure

Clinical actionability of the clinician's decision [ Time Frame: Post-session independent review, through study completion (up to approximately 2 months) ]

Locations (1)

FacilityCityStateZIPSite coordinators
Stanford UniversityStanfordCalifornia94305
Jonathan Chen, MD, PhD
650-725-3655

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