Physician Response Evaluation With Contextual Insights vs. Standard Engines - Artificial Intelligence RAG vs LLM Clinical Decision Support

Completed · Not applicable

Conditions studied: Large Language Models

In brief

Clinical decision support tools powered by artificial intelligence are being rapidly integrated into medical practice. Two leading systems currently available to clinicians are OpenEvidence, which uses retrieval-augmented generation to access medical literature, and GPT-4, a large language model. While both tools show promise, their relative effectiveness in supporting clinical decision-making has not been directly compared. This study aims to evaluate how these tools influence diagnostic reasoning and management decisions among internal medicine physicians.

Key facts

Study ID

NCT07037940

Run by

Montefiore Medical Center

People needed

27

Starts

2025-07-03

Expected to finish

2025-12-30

Last updated by the study team

2026-04-09

Who can join

Age: 25 and older. Sex: any. Healthy volunteers: accepted.

You may qualify if…

• Internal medicine residents
• Internal medicine attending physicians

You may not qualify if…

• Not meeting Inclusion Criteria

Where it is running

• Harvard Beth Israel Deaconess Medical Center — Boston, Massachusetts, United States
• MontefioreMC — The Bronx, New York, United States

Full record on ClinicalTrials.gov

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