Testing an AI Tool to Help Primary Care Clinicians With Specialty Consultation Questions
NCT07706920 · Status: NOT_YET_RECRUITING · Phase: NA · Type: INTERVENTIONAL · Enrollment: 15
Last updated 2026-07-16
Summary
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
Conditions
- Decision Support Systems, Clinical
- Referral and Consultation
Interventions
- OTHER
-
SAGE (AI clinical decision support)
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.
- OTHER
-
Standard eConsult
A standard electronic consultation (eConsult) format, without SAGE. Physicians review this information while making a management decision for the synthetic case.
Sponsors & Collaborators
- lead OTHER
Principal Investigators
-
Jonathan Chen, MD, PhD · Stanford University
Study Design
- Allocation
- NA
- Purpose
- HEALTH_SERVICES_RESEARCH
- Masking
- NONE
- Model
- SINGLE_GROUP
Eligibility
- Min Age
- 18 Years
- Sex
- ALL
- Healthy Volunteers
- Yes
Timeline & Regulatory
- Start
- 2026-07-31
- Primary Completion
- 2026-09-30
- Completion
- 2026-09-30
Countries
- United States
Study Locations
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