Automated Extraction of VTE Events From Narrative Radiology Reports in Electronic Health Records: A Validation Study.

Journal: Medical care
Published Date: Oct 1, 2017

Abstract

BACKGROUND: Surveillance of venous thromboembolisms (VTEs) is necessary for improving patient safety in acute care hospitals, but current detection methods are inaccurate and inefficient. With the growing availability of clinical narratives in an electronic format, automated surveillance using natural language processing (NLP) techniques may represent a better method.

Authors

  • Zhe Tian
    Sami-Ramzi Leyh-Bannurah, Dirk Pehrke, Hartwig Huland, Markus Graefen, and Lars Budäus, Prostate Cancer Center Hamburg-Eppendorf; Sami-Ramzi Leyh-Bannurah, Margit Fisch, and Guido Sauter, University Medical Center Hamburg-Eppendorf, Hamburg; Ulrich Wolffgang, University of Muenster, Muenster, Germany; and Zhe Tian and Pierre I. Karakiewicz, University of Montreal Health Center, Montreal, Canada.
  • Simon Sun
  • Tewodros Eguale
    McGill Clinical and Health Informatics Research Group, McGill University, Montreal, Canada Brigham and Women's Hospital, Boston, Massachusetts, USA.
  • Christian M Rochefort
    Faculty of Medicine, Ingram School of Nursing, McGill University, Montreal, Canada McGill Clinical and Health Informatics Research Group, McGill University, Montreal, Canada Department of Epidemiology, Biostatics and Occupational Health, Faculty of Medicine, McGill University, Montreal, Canada.

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