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. The code, persona schemata and triage policy prompts for TriageSim will be available upon acceptance.
@article{arxiv.2603.10035,
title = {TriageSim: A Conversational Emergency Triage Simulation Framework from Structured Electronic Health Records},
author = {Dipankar Srirag and Quoc Dung Nguyen and Aditya Joshi and Padmanesan Narasimhan and Salil Kanhere},
journal= {arXiv preprint arXiv:2603.10035},
year = {2026}
}