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Completed
NCT07037940
Physician Response Evaluation With Contextual Insights vs. Standard Engines - Artificial Intelligence RAG vs LLM Clinical Decision Support
Conditions: Large Language Models
Sex: All
Ages: 25 Years – N/A
Healthy volunteers: Yes
Phase: NA
Enrollment: 41
Sponsor: Montefiore Medical Center
Location: Harvard Beth Israel Deaconess Medical Center Boston Massachusetts
Summary
Clinical decision support tools powered by artificial intelligence (AI) 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.
Eligibility Criteria
Inclusion Criteria:
* Internal medicine residents
* Internal medicine attending physicians
Exclusion Criteria:
* Not meeting Inclusion Criteria
Source: ClinicalTrials.gov (NCT07037940). StuddyBuddy aggregates publicly available trial information.
