Application of an Artificial Intelligence Trilogy to Accelerate Processing of Suspected Patients With SARS-CoV-2 at a Smart Quarantine Station: Observational Study.

Journal: Journal of medical Internet research
Published Date: Oct 14, 2020

Abstract

BACKGROUND: As the COVID-19 epidemic increases in severity, the burden of quarantine stations outside emergency departments (EDs) at hospitals is increasing daily. To address the high screening workload at quarantine stations, all staff members with medical licenses are required to work shifts in these stations. Therefore, it is necessary to simplify the workflow and decision-making process for physicians and surgeons from all subspecialties.

Authors

  • Ping-Yen Liu
    Institute of Clinical Medicine, College of Medicine, National Cheng Kung University, Tainan, Taiwan.
  • Yi-Shan Tsai
    Department of Medical Imaging, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan, Taiwan.
  • Po-Lin Chen
    Division of Cardiovascular Surgery, Department of Surgery, Taipei Veterans General Hospital, Taipei, Taiwan; Institute of Clinical Medicine, School of Medicine, National Yang-Ming University, Taipei, Taiwan.
  • Huey-Pin Tsai
    Department of Pathology, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan, Taiwan.
  • Ling-Wei Hsu
    Institute of Clinical Medicine, College of Medicine, National Cheng Kung University, Tainan, Taiwan.
  • Chi-Shiang Wang
    Department of Computer Science and Information Engineering, National Cheng Kung University, Tainan, Taiwan.
  • Nan-Yao Lee
    Division of Infectious Diseases, Department of Internal Medicine, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan, Taiwan.
  • Mu-Shiang Huang
    Division of Cardiology, Internal Medicine, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan, Taiwan.
  • Yun-Chiao Wu
    Department of Clinical Medical Research, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan, Taiwan.
  • Wen-Chien Ko
    Division of Infectious Diseases, Department of Internal Medicine, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan, Taiwan.
  • Yi-Ching Yang
    Department of Family Medicine, College of Medicine, National Cheng Kung University, Tainan, Taiwan.
  • Jung-Hsien Chiang
    Department of Computer Science and Information Engineering, National Cheng Kung University, 1, University Road, Tainan City, Taiwan.
  • Meng-Ru Shen
    Department of Obstetrics and Gynecology, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan, Taiwan.

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