RECRUITINGINTERVENTIONAL
Large Language Models To Improve the Quality of Care of Cardiology Patients
Towards Bridging Generalists to Subspecialists With Large Language Models
About This Trial
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.
Who May Be Eligible (Plain English)
Who May Qualify:
- Board certified or board eligible Cardiologist.
Who Should NOT Join This Trial:
- Not currently practicing clinically
Always talk to your doctor about whether this trial is right for you.
Original Eligibility Criteria
View original clinical language
Inclusion Criteria:
* Board certified or board eligible Cardiologist.
Exclusion Criteria:
* Not currently practicing clinically
Treatments Being Tested
OTHER
Large Language Model
The intervention is a Large Language Model.
Locations (1)
Stanford
Palo Alto, California, United States