Real-time artificial intelligence system for bacteremia prediction in adult febrile emergency department patients.

Journal: International journal of medical informatics
Published Date: Oct 1, 2023

Abstract

BACKGROUND: Artificial intelligence (AI) holds significant potential to be a valuable tool in healthcare. However, its application for predicting bacteremia among adult febrile patients in the emergency department (ED) remains unclear. Therefore, we conducted a study to provide clarity on this issue.

Authors

  • Wei-Chun Tsai
    Department of Emergency Medicine, Chi Mei Medical Center, Tainan, Taiwan; Department of Public Health, College of Medicine, National Cheng Kung University, Tainan, Taiwan; Department of Pediatrics, Chi Mei Medical Center, Tainan, Taiwan.
  • Chung-Feng Liu
    Department of Medical Research, Chi Mei Medical Center, 901 Zhonghua Road, Yongkang District, Tainan City, 710, Taiwan.
  • Yu-shan Ma
  • Chia-Jung Chen
    Information Systems, Chi Mei Medical Center, Tainan, Taiwan.
  • Hung-Jung Lin
    Department of Emergency Medicine, Chi Mei Medical Center, 901 Zhonghua Road, Yongkang District, Tainan City, 710, Taiwan.
  • Chien-Chin Hsu
    Department of Emergency Medicine, Chi Mei Medical Center, 901 Zhonghua Road, Yongkang District, Tainan City, 710, Taiwan.
  • Julie Chi Chow
    Department of Pediatrics, Chi Mei Medical Center, Tainan, Taiwan.
  • Yu-Wen Chien
    Department of Public Health, College of Medicine, National Cheng Kung University, Tainan, Taiwan; Department of Occupational and Environmental Medicine, National Cheng Kung University Hospital, Tainan, Taiwan. Electronic address: yuwenchien@mail.ncku.edu.tw.
  • Chien-Cheng Huang
    Department of Emergency Medicine, Chi Mei Medical Center, Tainan, Taiwan.

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