Prediction of emergency department patient disposition based on natural language processing of triage notes.

Journal: International journal of medical informatics
Published Date: Sep 1, 2019

Abstract

BACKGROUND: Nursing triage documentation is the first free-form text data created at the start of an emergency department (ED) visit. These 1-3 unstructured sentences reflect the clinical impression of an experienced nurse and are key in gauging a patient's illness. We aimed to predict final ED disposition using three commonly-employed natural language processing (NLP) techniques of nursing triage notes in isolation from other data.

Authors

  • Nicholas W Sterling
    Department of Neurology, Penn State, Milton S. Hershey Medical Center, Hershey, PA 17033, USA.
  • Rachel E Patzer
    Surgical Outcomes and Quality Improvement Center (SOQIC), Department of Surgery, Indiana School of Medicine, Indianapolis, IN; Center for Health Services Research, Regienstrief Institute, Indianapolis, IN.
  • Mengyu Di
    Department of Biostatistics and Bioinformatics, Emory University, Atlanta, GA, USA.
  • Justin D Schrager

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