Integrating natural language processing expertise with patient safety event review committees to improve the analysis of medication events.

Journal: International journal of medical informatics
Published Date: Aug 1, 2017

Abstract

OBJECTIVES: Many healthcare providers have implemented patient safety event reporting systems to better understand and improve patient safety. Reviewing and analyzing these reports is often time consuming and resource intensive because of both the quantity of reports and length of free-text descriptions in the reports.

Authors

  • Allan Fong
    National Center for Human Factors in Healthcare, MedStar Health, Washington, District of Columbia.
  • Nicole Harriott
    Georgetown University Medical Center, 3800 Reservoir Rd NW, Washington, D.C. 20007, USA.
  • Donna M Walters
    Georgetown University Medical Center, 3800 Reservoir Rd NW, Washington, D.C. 20007, USA.
  • Hanan Foley
    Georgetown University Medical Center, 3800 Reservoir Rd NW, Washington, D.C. 20007, USA.
  • Richard Morrissey
    Georgetown University Medical Center, 3800 Reservoir Rd NW, Washington, D.C. 20007, USA.
  • Raj R Ratwani
    National Center for Human Factors in Healthcare, MedStar Health, 3007 Tilden St. NW, Suite 7M, Washington, D.C. 20008, USA; Department of Emergency Medicine, Georgetown University School of Medicine, 3900 Reservoir Rd. NW Washington D.C. 20007, USA.

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