Learning to detect and understand drug discontinuation events from clinical narratives.

Journal: Journal of the American Medical Informatics Association : JAMIA
Published Date:

Abstract

OBJECTIVE: Identifying drug discontinuation (DDC) events and understanding their reasons are important for medication management and drug safety surveillance. Structured data resources are often incomplete and lack reason information. In this article, we assessed the ability of natural language processing (NLP) systems to unlock DDC information from clinical narratives automatically.

Authors

  • Feifan Liu
    Department of Quantitative Health Sciences and Radiology, University of Massachusetts Medical School, Worcester, MA, USA.
  • Richeek Pradhan
    Department of Population and Quantitative Health Sciences, University of Massachusetts Medical School, Worcester, Massachusetts, USA.
  • Emily Druhl
    Bedford Veterans Affairs Medical Center, Center for Healthcare Organization and Implementation Research, Bedford, MA, United States.
  • Elaine Freund
    Department of Population and Quantitative Health Sciences, University of Massachusetts Medical School, Worcester, Massachusetts, USA.
  • Weisong Liu
    Human and Molecular Genetics Center, Medical College of Wisconsin, Department of Physiology, Medical College of Wisconsin and Department of Surgery, Medical College of Wisconsin, 8701 Watertown Plank Road, Milwaukee, WI53226, USA.
  • Brian C Sauer
    Veterans Affairs Medical Center, Salt Lake City, Utah; University of Utah, Salt Lake City, Utah.
  • Fran Cunningham
    Department of Veterans Affairs Pharmacy Benefits Management Services, Hines, Illinois, USA.
  • Adam J Gordon
    Program for Addiction Research, Clinical Care, Knowledge, and Advocacy, Division of Epidemiology, Department of Internal Medicine, University of Utah, Salt Lake City.
  • Celena B Peters
    Departments of Internal Medicine and Biomedical Informatics, University of Utah, Salt Lake City, Utah, USA.
  • Hong Yu
    University of Massachusetts Medical School, Worcester, MA.