arXiv cs.CLPaper
ClinTraceBench: Source-Verifiable Longitudinal Clinical Reasoning over EHR-Derived Dialogues
This addresses a real problem in medical AI: how do you compact longitudinal patient history without losing the signal that clinicians need? The paper tests eight strategies across four model backends with 200k+ predictions and systematic validation. For anyone building clinical assistants, this is actionable: it tells you which compression and retrieval methods preserve reasoning vs. lose relation information. Compression schemes are worth reconsidering if you're handling long patient timelines.