Beyond the Leaderboard: Rethinking Medical Benchmarks for Large Language Models

Understand

Large language models (LLMs) show significant potential in healthcare, prompting numerous benchmarks to evaluate their capabilities.

• However, concerns persist regarding the reliability of these benchmarks, which often lack clinical fidelity, robust data management, and safety-oriented evaluation metrics.
• To address these shortcomings, we introduce MedCheck, the first lifecycle-oriented assessment framework specifically designed for medical benchmarks.
• Our framework deconstructs a benchmark's development into five continuous stages, from design to governance, and provides a comprehensive checklist of 46 medically-tailored criteria.