EHRBench: An Automated and Reliable EHR-based Benchmark for Clinical Decision Making with LLMs
Bridging the gap between LLM reasoning and real-world clinical decision-making with a million-scale EHR dataset.
Clinical decision-making (CDM) is central to real-world clinical workflows, where clinicians infer diagnoses, select treatments, or anticipate future health outcomes under incomplete evidence. LLMs are increasingly used to support these decisions due to strong language capabiliti...
ArXiv CS.AI
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EHRBench addresses the critical need for a large-scale, automated evaluation framework that grounds LLM reasoning in real-world patient data rather than static medical textbooks. By bridging the gap between general language capabilities and clinical inference, this benchmark provides a standardized foundation for building safer and more reliable diagnostic AI tools.
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