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Not yet recruiting NCT07706920

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

No phase Interventional Decision Support Systems, Clinical Referral and Consultation

For patients and families

In plain language

An automatic summary of structured registry data. It is an orientation aid, not a substitute for the official protocol or a physician assessment.

What is being studied
The protocol lists: SAGE (AI clinical decision support), Standard eConsult.
Who it may be relevant to
Registry conditions: Decision Support Systems, Clinical, Referral and Consultation. Basic parameters: from 18 years · All.
What needs checking
Age, condition and sex are only basic indicators. Prior treatment, laboratory values and other mandatory requirements appear in the eligibility criteria below.
Where it takes place
United States
Next step
Save the trial, show it to the treating physician, and confirm current recruitment with the study center. Costs, documents and travel →
Official title

Physician Usability and Output Quality Evaluation of a Retrieval-Augmented Language Model System for Specialty Medical Consultation: A Human-Computer Interaction Study

Overview

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

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.

Primary outcome measures

  • Clinical actionability of the clinician's decision [Time frame: Post-session independent review, through study completion (up to approximately 2 months)]
  • Concordance of the clinician's decision with the specialist reference answer [Time frame: Post-session independent review, through study completion (up to approximately 2 months)]
Secondary outcome measures (3)
  • System usability (System Usability Scale, SUS) [Time frame: End of study session (Day 1, approximately 60 minutes)]
  • Order acceptance in the SAGE condition [Time frame: During study session (Day 1)]
  • Time to complete case review [Time frame: During study session (Day 1)]

Eligibility criteria

Inclusion criteria

  • 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

Exclusion criteria

  • 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

Criteria are shown verbatim from the registry (in English). Final eligibility is always assessed by the study center.

Healthy volunteers: Yes

Study design

Allocation
N/A
Model
Single group
Masking
Open label
Primary purpose
Health services research

Study locations

United States · 1 center
  • Stanford University — Stanford

Identifiers

NCT: NCT07706920 · 85430

Primary sources (government registries)

View this study on ClinicalTrials.gov ↗