A Keyword Approach to Identify Adverse Events Within Narrative Documents From 4 Italian Institutions.

Journal: Journal of patient safety
Published Date:

Abstract

OBJECTIVES: Existing methods for measuring adverse events in hospitals intercept a restricted number of events. Text mining refers to a range of techniques to extract data from narrative sources. The goal of this study was to evaluate the performance of an automated approach for extracting adverse event keywords from within electronic health records.

Authors

  • Antonio Piscitelli
    From the Post-graduate School of Hygiene and Preventive Medicine, University of Milan, Milan.
  • Luciana Bevilacqua
    Risk Management ASST Pavia.
  • Barbara Labella
    Italian National Agency for Regional Health Services.
  • Elena Parravicini
    ASST Fatebenefratelli Sacco.
  • Francesco Auxilia