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New system grounds LLM medical triage in clinical guidelines

Researchers have developed an Automated LLM-based Medical Triage System (ALLMTS) to improve the reliability of telephone triage. Unlike direct LLM queries that often over-escalate cases, ALLMTS grounds its decisions in executable clinical guidelines, mirroring the process nurses follow. This system achieved 0.95 accuracy on synthetic scenarios and 0.98 on an open benchmark, significantly reducing over-triage rates to 0.02 while maintaining low under-triage. AI

IMPACT This system demonstrates a method to improve LLM reliability in safety-critical applications by grounding them in executable guidelines.

RANK_REASON The cluster contains a research paper detailing a novel system and its evaluation. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.AI →

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New system grounds LLM medical triage in clinical guidelines

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The cluster contains a research paper detailing a novel system and its evaluation. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.AI TIER_1 English(EN) · Micha{\l} Remigiusz Janiszewski, Artur Stopa, {\L}ukasz Lenkiewicz, Wojciech Achtelik, Bartosz Gonczarek ·

    ALLMTS: Automated LLM-based Medical Triage System

    arXiv:2610.32469v1 Announce Type: new Abstract: Telephone triage is a safety critical task: from a brief intake note, a nurse must decide whether a caller needs an ambulance, an emergency department, an appointment, or self care at home. Queried directly, large language models (L…