Mining tasks and task characteristics from electronic health record audit logs with unsupervised machine learning.

Journal: Journal of the American Medical Informatics Association : JAMIA
Published Date: Jun 12, 2021

Abstract

OBJECTIVE: The characteristics of clinician activities while interacting with electronic health record (EHR) systems can influence the time spent in EHRs and workload. This study aims to characterize EHR activities as tasks and define novel, data-driven metrics.

Authors

  • Bob Chen
    Epithelial Biology Center, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
  • Wael Alrifai
    Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
  • Cheng Gao
    Dept. of Biomedical Informatics, School of Medicine, Vanderbilt University, Nashville, TN, USA.
  • Barrett Jones
    Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
  • Laurie Novak
    Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
  • Nancy Lorenzi
    Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
  • Daniel France
    Department of Anesthesiology, Center for Research and Innovation in Systems Safety, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
  • Bradley Malin
    Vanderbilt University Medical Center, Nashville, TN, United States.
  • You Chen
    Dept. of Biomedical Informatics, School of Medicine, Vanderbilt University, Nashville, TN, USA.

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