Evaluating LLMs for Medical Quality Control
A Chinese Benchmark for Healthcare Assessment
This research introduces CMQCIC-Bench, the first benchmark dataset for evaluating large language models in calculating medical quality control indicators from Chinese electronic medical records.
- Addresses a critical real-world healthcare challenge: assessing institutional medical service qualifications
- Provides comprehensive testing across multiple indicator types and medical specialties
- Reveals performance gaps between advanced models like GPT-4 and human experts
- Establishes a foundation for future AI development in healthcare quality monitoring
This benchmark matters because it enables systematic evaluation of AI capabilities in a highly regulated healthcare domain, potentially improving efficiency and reliability of quality reporting systems.