Identifying health information technology related safety event reports from patient safety event report databases.

Journal: Journal of biomedical informatics
PMID: 30213556

Abstract

OBJECTIVE: The objective of this paper was to identify health information technology (HIT) related events from patient safety event (PSE) report free-text descriptions. A difference-based scoring approach was used to prioritize and select model features. A feature-constraint model was developed and evaluated to support the analysis of PSE reports.

Authors

  • Allan Fong
    National Center for Human Factors in Healthcare, MedStar Health, Washington, District of Columbia.
  • Katharine T Adams
  • Michael J Gaunt
    Institute for Safe Medication Practices, 200 Lakeside Dr, Suite 200, Horsham, PA 19044, USA.
  • Jessica L Howe
  • Kathryn M Kellogg
    National Center for Human Factors in Healthcare, MedStar Health, 3007 Tilden St. NW, Suite 7L, Washington, D.C. 20008, USA; Georgetown University School of Medicine, 3800 Reservoir Rd NW, Washington, DC 20007, USA.
  • Raj M Ratwani
    MedStar Health, MedStar Georgetown University Hospital, 3800 Reservoir Rd, NW CG201, Washington DC, 20007 (R.W.F.); and MedStar Health, National Center for Human Factors in Healthcare, Washington, DC (R.M.R.).

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