Automatic Classification of the Korean Triage Acuity Scale in Simulated Emergency Rooms Using Speech Recognition and Natural Language Processing: a Proof of Concept Study.

Journal: Journal of Korean medical science
Published Date: Jul 12, 2021

Abstract

BACKGROUND: Rapid triage reduces the patients' stay time at an emergency department (ED). The Korean Triage Acuity Scale (KTAS) is mandatorily applied at EDs in South Korea. For rapid triage, we studied machine learning-based triage systems composed of a speech recognition model and natural language processing-based classification.

Authors

  • Dongkyun Kim
    Department of Electrical and Electronic Engineering, Hanyang University, Ansan, Korea.
  • Jaehoon Oh
    Department of Emergency Medicine, College of Medicine, Hanyang University, Seoul, Korea.
  • Heeju Im
    Department of Artificial Intelligence, Hanyang University, Seoul, Korea.
  • Myeongseong Yoon
    Department of Emergency Medicine, College of Medicine, Hanyang University, Seoul, Korea.
  • Jiwoo Park
    Department of Emergency Medicine, College of Medicine, Hanyang University, Seoul, Korea.
  • Joohyun Lee
    Department of Electrical and Electronic Engineering, Hanyang University, Ansan 15588, Korea.

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