TriageSim: A Conversational Emergency Triage Simulation Framework from Structured Electronic Health Records

Abstract:Research in emergency triage is restricted to structured electronic health records (EHR) due to regulatory constraints on nurse-patient interactions. We introduce TriageSim, a simulation framework for generating persona-conditioned triage conversations from structured records. TriageSim enables multi-turn nurse-patient interactions with explicit control over disfluency and decision behaviour, producing a corpus of ~800 synthetic transcripts and corresponding audio. We use a combination of automated analysis for linguistic, behavioural and acoustic fidelity alongside manual evaluation for medical fidelity using a random subset of 50 conversations. The utility of the generated corpus is examined via conversational triage classification. We observe modest agreement for acuity levels across three modalities: generated synthetic text, ASR transcripts, and direct audio inputs. We provide the code for TriageSim at this https URL.

Computation and Language (cs.CL)

arXiv:2603.10035 [cs.CL]

(or arXiv:2603.10035v3 [cs.CL] for this version)

https://doi.org/10.48550/arXiv.2603.10035 Focus to learn more arXiv-issued DOI via DataCite

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