Teaching Doctors in Training to Reason With Artificial Intelligence

Part of paid clinical trials in Palo Alto, California.

Sponsor
Beth Israel Deaconess Medical Center
Study ID
NCT07813754
Status
Not Yet Recruiting

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Conditions

  • Artificial Intelligence (AI)
  • Clinical Decision-making
  • Clinical Reasoning
  • Medical Education

Eligibility Criteria

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

Interventions

  • Workshop-First — OTHER
    Participants will attend a workshop during their didactic time that will review various aspects of large language models including fundamentals and best practices of interacting and interpreting their outputs.

Study Details

The purpose of the TEACH-AI study is to assess whether a brief, structured workshop on artificial intelligence can improve the performance of medicine doctors in training (i.e. residents) in their diagnostic and management reasoning. In this multi-site randomized controlled trial, internal medicine and family medicine residents are assigned either to receive an in-person workshop on safe, effective LLM use before a standardized AI-assisted assessment, or to complete the same assessment before receiving the workshop. Residents will review clinical cases that are fully synthetic, no protected health information is used, using a password protected LLM interface.

Key Dates

First listed
Sep 10, 2026
Start date
Sep 30, 2026
Status verified
Sep 2026
Primary completion
Dec 31, 2026
Completion
Jun 30, 2027

Study Design

Enrollment
200 participants (estimated)
Allocation
RANDOMIZED
Intervention model
PARALLEL
Primary purpose
DIAGNOSTIC

Arms

  • No Intervention: Assessment-First
    Participants assigned to this group will be tasked with completing the assessment using a password protected LLM interface first in advance of the workshop. The workshop will be delivered during a scheduled mandatory didactic time slot.
  • Experimental: Workshop-first
    Participants assigned to this group will be tasked with completing the assessment using a password protected LLM interface after they participate in a scheduled mandatory didactic time slot.

Primary Outcome Measure

Total Score on Expert-Development Rubrics [ Time Frame: Within 24 hours of assessment completion. ]

Central Contacts

Locations (4)

FacilityCityStateZIPSite coordinators
Stanford UniversityPalo AltoCalifornia94305
Kevin Keet, MD
[email protected]
650-498-4559
Kevin R Keet, MD (PRINCIPAL_INVESTIGATOR)
AdventHealthOrlandoFlorida32804
Raj Mehta, MD
[email protected]
407-845-8383
Raj Mehta, MD (PRINCIPAL_INVESTIGATOR)
Beth Israel Deaconess Medical CenterBostonMassachusetts02215
Jacob M Koshy, MD, MPH
[email protected]
617-754-4677
Jacob M Koshy, MD, MPH (PRINCIPAL_INVESTIGATOR)
Cambridge Health AllianceCambridgeMassachusetts02139
Priyank Jain, MD
617-665-1000
Priyank Jain, MD (PRINCIPAL_INVESTIGATOR)

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By research site
Stanford University· Palo Alto, CAAdventHealth· Orlando, FLBeth Israel Deaconess Medical Center· Boston, MACambridge Health Alliance· Cambridge, MA

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