MedCheck: A Lifecycle Framework for Evaluating Medical LLM Benchmarks

Researchers have introduced MedCheck, a lifecycle-oriented assessment framework designed to evaluate the reliability of medical benchmarks for large language models (LLMs). The framework deconstructs benchmark development into five continuous stages—from design to governance—and provides a checklist of 46 medically-tailored criteria. An empirical evaluation of 53 medical LLM benchmarks using MedCheck revealed widespread systemic issues, including a disconnect from clinical practice, data integrity crises due to contamination risks, and systematic neglect of safety metrics. The study highlights the need for more clinically faithful and safety-oriented evaluation methods in healthcare AI.