Natural language processing to measure the frequency and mode of communication between healthcare professionals and family members of critically ill patients.

Journal: Journal of the American Medical Informatics Association : JAMIA
PMID: 33201981

Abstract

OBJECTIVE: To apply natural language processing (NLP) techniques to identify individual events and modes of communication between healthcare professionals and families of critically ill patients from electronic medical records (EMR).

Authors

  • Filipe R Lucini
    Department of Critical Care Medicine, Cumming School of Medicine, University of Calgary and Alberta Health Services, Calgary, Alberta, Canada.
  • Karla D Krewulak
    Department of Critical Care Medicine, Cumming School of Medicine, University of Calgary and Alberta Health Services, Calgary, Alberta, Canada.
  • Kirsten M Fiest
    Department of Critical Care Medicine, Cumming School of Medicine, University of Calgary and Alberta Health Services, Calgary, Alberta, Canada.
  • Sean M Bagshaw
    Department of Critical Care Medicine, Faculty of Medicine and Dentistry, University of Alberta, and Alberta Health Services, Edmonton, Alberta, Canada.
  • Danny J Zuege
    Department of Critical Care Medicine, Cumming School of Medicine, University of Calgary and Alberta Health Services, Calgary, Alberta, Canada.
  • Joon Lee
    Health Data Science Lab, School of Public Health and Health Systems, University of Waterloo, Waterloo, Ontario, Canada.
  • Henry T Stelfox
    Department of Critical Care Medicine, Cumming School of Medicine, University of Calgary and Alberta Health Services, Calgary, Alberta, Canada.

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