Papers with PEC

1 papers
InTriage: Intelligent Telephone Triage in Pre-Hospital Emergency Care (2025.emnlp-demos)

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Challenge: Existing TT processes face challenges such as incomplete data collection, communication barriers, and manual errors, leading to high over-triage and under-triages rates.
Approach: They propose to use an AI-driven multilingual TT system to provide decision support for triage.
Outcome: The proposed system achieves word error rate of 14.57% for speech recognition and an F1 score of 73.34% for key information extraction.

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