Validation of deep-learning-based triage and acuity score using a large national dataset.

Journal: PloS one
Published Date:

Abstract

AIM: Triage is important in identifying high-risk patients amongst many less urgent patients as emergency department (ED) overcrowding has become a national crisis recently. This study aims to validate that a Deep-learning-based Triage and Acuity Score (DTAS) identifies high-risk patients more accurately than existing triage and acuity scores using a large national dataset.

Authors

  • Joon-Myoung Kwon
    Department of Emergency Medicine, Mediplex Sejong Hospital, Incheon, Korea.
  • Youngnam Lee
    VUNO, Seoul, Korea.
  • Yeha Lee
    VUNO, Seoul, Korea.
  • Seungwoo Lee
    VUNO, Seoul, Korea.
  • Hyunho Park
    VUNO, Seoul, Korea.
  • Jinsik Park
    Department of Cardiology, Mediplex Sejong Hospital, Incheon, Korea.