Applying Intelligent Algorithms to Automate the Identification of Error Factors.

Journal: Journal of patient safety
Published Date: Dec 1, 2021

Abstract

OBJECTIVES: Medical errors are the manifestation of the defects occurring in medical processes. Extracting and identifying defects as medical error factors from these processes are an effective approach to prevent medical errors. However, it is a difficult and time-consuming task and requires an analyst with a professional medical background. The issues of identifying a method to extract medical error factors and reduce the extraction difficulty need to be resolved.

Authors

  • Haizhe Jin
    From the Department of Industrial Engineering.
  • Qingxing Qu
    Industrial Engineering, Northeastern University, Shenyang, China.
  • Masahiko Munechika
    Department of Industrial and Management Systems Engineering, Waseda University, Shinjuku, Tokyo.
  • Masataka Sano
    Department of Management Information Science, Chiba Institute of Technology, Narashino, Chiba, Japan.
  • Chisato Kajihara
    Department of Industrial and Management Systems Engineering, Waseda University, Shinjuku, Tokyo, Japan.
  • Vincent G Duffy
    School of Industrial Engineering, Purdue University, West Lafayette, IN, USA.
  • Han Chen
    School of Statistics, University of Minnesota at Twin Cities.

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