CDS-Compare: A Web Application for Machine Learning Assisted Curation of Clinical Order Sets.

Journal: Studies in health technology and informatics
Published Date: May 25, 2022

Abstract

Order sets that adhere to disease-specific guidelines have been shown to increase clinician efficiency and patient safety but curating these order sets, particularly for consistency across multiple sites, is difficult and time consuming. We created software called CDS-Compare to alleviate the burden on expert reviewers in rapidly and effectively curating large databases of order sets. We applied our clustering-based software to a database of NLP-processed order sets extracted from VA's Electronic Health Record, then had subject-matter experts review the web application version of our software for clustering validity.

Authors

  • Zackary Falls
    Department of Biomedical Informatics, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, USA.
  • Steven H Brown
    Office of Health Informatics, Department of Veterans Affairs.
  • Naveed Shah
    Department of Biomedical Informatics, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, USA.
  • Frank LeHouillier
    Department of Biomedical Informatics, University at Buffalo.
  • Randeep Badwal
    Department of Biomedical Informatics, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, USA.
  • Kendria Hall
    Department of Biomedical Informatics, University at Buffalo, Buffalo, NY.
  • Gillian Franklin
    Department of Biomedical Informatics, University at Buffalo, Buffalo, NY.
  • William H Kelly
    Department of Biomedical Informatics, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, USA.
  • Andrew Holdaway
    Department of Veterans Affairs, Office of Health Informatics, USA.
  • Diane Montella
    U.S. Department of Veterans Affairs, Office of Health Informatics, USA.
  • Linda Wedemeyer
    Department of Veterans Affairs, Office of Health Informatics, USA.
  • Sarita Keni
    Department of Veterans Affairs, Office of Health Informatics, USA.
  • Eric Rose
    Department of Veterans Affairs, Office of Health Informatics, USA.
  • Jonathan R Nebeker
    Department of Veterans Affairs, Office of Health Informatics, USA.
  • Peter L Elkin
    Department of Biomedical Informatics, University at Buffalo, Buffalo, NY.

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