Electronic surveillance of patient safety events using natural language processing.

Journal: Health informatics journal
Published Date: Jan 1, 2022

Abstract

OBJECTIVE: We describe our approach to surveillance of reportable safety events captured in hospital data including free-text clinical notes. We hypothesize that a) some patient safety events are documented only in the clinical notes and not in any other accessible source; and b) large-scale abstraction of event data from clinical notes is feasible.

Authors

  • Al Ozonoff
    Boston Children's Hospital, MA, USA.
  • Carly E Milliren
    Boston Children's Hospital, MA, USA.
  • Kerri Fournier
    Boston Children's Hospital, MA, USA.
  • Jennifer Welcher
    Boston Children's Hospital, MA, USA.
  • Assaf Landschaft
  • Mihail Samnaliev
    Boston Children's Hospital, MA, USA.
  • Mehmet Saluvan
    Boston Children's Hospital, MA, USA.
  • Mark Waltzman
    Boston Children's Hospital, MA, USA.
  • Amir A Kimia
    From the *Department of Medicine, Division of Emergency Medicine, Boston Children's Hospital; †Children's Informatics Program; and ‡Boston Children's Hospital IT, and Department of Infectious Diseases, Boston, MA.

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