Peer-Reviewed Publication
Stud Health Technol Inform2025;332262-266.October 2, 2025Journal Article

MedPromptEval: A Comprehensive Framework for Systematic Evaluation of Clinical Question Answering Systems.

Al Rahrooh1, Anders O Garlid1, Panayiotis Petousis1, Arthur Funnell1, Alex A T Bui1
1Medical & Imaging Informatics Group, Department of Radiological Sciences, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA.

Abstract

Clinical deployment of large language models (LLMs) faces critical challenges, including inconsistent prompt performance, variable model behavior, and a lack of standardized evaluation methodologies. We present MedPromptEval, a framework that systematically evaluates LLM-prompt combinations across clinically relevant dimensions. This framework automatically generates diverse prompt types, orchestr…

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