AI RESEARCH
MedCase-Structured: A Text-to-FHIR Dataset for Benchmarking Diagnostic Reasoning in Clinically Realistic EHR Settings
arXiv CS.AI
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ArXi:2605.30295v1 Announce Type: cross Large language models (LLMs) show promise for clinical reasoning and decision, but evaluation in realistic, electronic health record-congruent settings remains limited. Existing benchmarks often rely on static datasets or unstructured inputs that do not reflect the structured, interoperable data formats used in clinical systems. We