An Integrated Approach of Machine Learning and Systems Thinking for Waiting Time Prediction in an Emergency Department.

Journal: International journal of medical informatics
Published Date: Apr 12, 2020

Abstract

OBJECTIVE: The objective of this study is to apply machine learning algorithms for real-time and personalized waiting time prediction in emergency departments. We also aim to introduce the concept of systems thinking to enhance the performance of the prediction models.

Authors

  • Yong-Hong Kuo
    Department of Industrial and Manufacturing Systems Engineering, The University of Hong Kong, Pokfulam Road, Hong Kong. Electronic address: yhkuo@hku.hk.
  • Nicholas B Chan
    Stanley Ho Big Data Decision Analytics Research Centre, The Chinese University of Hong Kong, Shatin, N.T., Hong Kong.
  • Janny M Y Leung
    Choi Kai Yau College, The University of Macau, Macau.
  • Helen Meng
    Stanley Ho Big Data Decision Analytics Research Centre, The Chinese University of Hong Kong, Shatin, N.T., Hong Kong; Department of Systems Engineering and Engineering Management, The Chinese University of Hong Kong, Shatin, N.T., Hong Kong.
  • Anthony Man-Cho So
    Department of Systems Engineering and Engineering Management, The Chinese University of Hong Kong, Shatin, N.T., Hong Kong.
  • Kelvin K F Tsoi
    Stanley Ho Big Data Decision Analytics Research Centre, The Chinese University of Hong Kong, Shatin, N.T., Hong Kong; School of Public Health and Primary Care, The Chinese University of Hong Kong, Shatin, N.T., Hong Kong.
  • Colin A Graham
    Accident and Emergency Medicine Academic Unit, Chinese University of Hong Kong, Prince of Wales Hospital, Hong Kong, 999077, China.

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