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arXiv AI By Micha{\l} Remigiusz Janiszewski, Artur Stopa, {\L}ukasz Lenkiewicz, Wojciech Achtelik, Bartosz Gonczarek

ALLMTS: Automated LLM-based Medical Triage System

Read the original on arXiv AI →

The paper introduces ALLMTS, an automated medical triage system that uses large language models (LLMs) to execute commercially maintained telehealth guidelines rather than directly triage callers. By selecting the appropriate guideline and evaluating its triage questions, ALLMTS deterministically derives dispositions, achieving 0.95 accuracy on 566 synthetic scenarios and 0.98 on a 50-scenario benchmark, matching expert nurse performance. The system dramatically reduces over‑triage rates (to ≤0.02) while keeping under‑triage low, demonstrating the effectiveness of coupling LLMs with executable clinical guidelines.

Machine-generated by The Flow from the publisher's headline and feed description — not written or checked by a human. The full article lives at arXiv AI.

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