TriageSim: A Conversational Emergency Triage Simulation Framework from Structured Electronic Health Records
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arXiv
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| Auteurs principaux: | , , , , |
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| Format: | Preprint |
| Publié: |
2026
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| _version_ | 1866915903959990272 |
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| author | Srirag, Dipankar Nguyen, Quoc Dung Joshi, Aditya Narasimhan, Padmanesan Kanhere, Salil |
| author_facet | Srirag, Dipankar Nguyen, Quoc Dung Joshi, Aditya Narasimhan, Padmanesan Kanhere, Salil |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2603_10035 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | TriageSim: A Conversational Emergency Triage Simulation Framework from Structured Electronic Health Records Srirag, Dipankar Nguyen, Quoc Dung Joshi, Aditya Narasimhan, Padmanesan Kanhere, Salil Computation and Language 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. |
| title | TriageSim: A Conversational Emergency Triage Simulation Framework from Structured Electronic Health Records |
| topic | Computation and Language |
| url | https://arxiv.org/abs/2603.10035 |