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ELICITED: EHR-grounded Longitudinal Interactive Conversations for Information-seeking Triage Evaluation and Decision-making

This paper introduces EHR2Dial-Triage, a novel framework and benchmark grounded in MIMIC-IV-ED that generates interactive, temporally constrained conversations to evaluate and improve AI models' ability to perform dynamic information-seeking, evidence-based reasoning, and decision-making for emergency department triage.

Original authors: Haohao Zhu, Xiaolin Shi, Jiayu Zhou

Published 2026-08-11
📖 1 min read☕ Coffee break read

Original authors: Haohao Zhu, Xiaolin Shi, Jiayu Zhou

Original paper licensed under CC BY 4.0 (http://creativecommons.org/licenses/by/4.0/). This is an AI-generated explanation of the paper below. It is not written or endorsed by the authors. For technical accuracy, refer to the original paper. Read full disclaimer

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