A Novel Deep Learning-Based System for Triage in the Emergency Department Using Electronic Medical Records: Retrospective Cohort Study.

Journal: Journal of medical Internet research
Published Date: Dec 27, 2021

Abstract

BACKGROUND: Emergency department (ED) crowding has resulted in delayed patient treatment and has become a universal health care problem. Although a triage system, such as the 5-level emergency severity index, somewhat improves the process of ED treatment, it still heavily relies on the nurse's subjective judgment and triages too many patients to emergency severity index level 3 in current practice. Hence, a system that can help clinicians accurately triage a patient's condition is imperative.

Authors

  • Li-Hung Yao
    Department of Computer Science and Information Engineering, National Taiwan University, Taipei, Taiwan.
  • Ka-Chun Leung
    Department of Computer Science and Information Engineering, National Taiwan University, Taipei, Taiwan.
  • Chu-Lin Tsai
    National Taiwan University Hospital, Department of Emergency Medicine, Taipei, Taiwan.
  • Chien-Hua Huang
    Department of Emergency Medicine, National Taiwan University, 100 Taipei, Taiwan.
  • Li-Chen Fu

Keywords

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