Large Language Models To Improve the Quality of Care of Cardiology Patients

Part of paid clinical trials in Palo Alto, California.

Sponsor
Stanford University
Study ID
NCT06935253
Status
Recruiting
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Conditions

  • Cardiology
  • Cardiomyopathy
  • Genetic Disease
  • Hypertrophic Cardiomyopathy (HCM)

Eligibility Criteria

Sex
ALL
Age
18 Years - N/A
Healthy Volunteers
Not accepted

Interventions

  • Large Language Model — OTHER
    The intervention is a Large Language Model.

Study Details

This study evaluates the impact of large language models (LLMs) versus traditional decision support tools on clinical decision-making in cardiology. General cardiologists will be randomized to manage real patient cases from a cardiovascular genetic cardiomyopathy clinic, with or without AI assistance. Each case will be assessed by two cardiologists, and their responses will be graded by blinded subspecialty experts using a standardized evaluation rubric.

Key Dates

Start date
Jan 10, 2025
Status verified
May 2025
Primary completion
Nov 30, 2025
Completion
Dec 31, 2025

Study Design

Enrollment
12 participants (estimated)
Allocation
RANDOMIZED
Intervention model
PARALLEL
Primary purpose
SUPPORTIVE_CARE

Arms

  • Active Comparator: Large Language Model
    This group will be given access to a Large Language Model
  • No Intervention: Usual resources
    Group will not be given access to a Large Language Model but will be encouraged to use any resources they usually use in their practice besides large language models (UpToDate, Dynamed etc).

Primary Outcome Measure

Subspecialist Preference [ Time Frame: Subspecialist evaluation will occur within 1 month of participant completing their assessment ]

Central Contacts

Locations (1)

FacilityCityStateZIPSite coordinators
StanfordPalo AltoCalifornia94303
Jack W O'Sullivan, MD, PhD
[email protected]
6503009129
Euan A Ashley, MD, PhD
[email protected]
650-736-7878
Euan A Ashley, MD, PhD (PRINCIPAL_INVESTIGATOR)
Jack W O'Sullivan, MD, PhD (SUB_INVESTIGATOR)

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