Exploring the full potential of the electronic health record: the application of natural language processing for clinical practice.

Journal: European journal of cardiovascular nursing
Published Date: Mar 3, 2025

Abstract

The electronic health record (EHR) contains valuable patient data and offers opportunities to administer and analyse patients' individual needs longitudinally. However, most information in the EHR is currently stored in unstructured text notations. Natural language processing (NLP), a branch of artificial intelligence that enables computers to understand, interpret, and generate human language, can be used to delve into unstructured text data to uncover valuable insights and knowledge. This article discusses different types of NLP, the potential of NLP for cardiovascular nursing, and how to get started with NLP as a clinician.

Authors

  • Liesbet Van Bulck
    KU Leuven Department of Public Health and Primary Care, KU Leuven - University of Leuven, Kapucijnenvoer 35, Box 7001, 3000 Leuven, Belgium.
  • Meghan Reading Turchioe
    Department of Population Health Sciences, Division of Health Informatics, Weill Cornell Medicine, New York, New York, USA mjr2011@med.cornell.edu.
  • Maxim Topaz
    Division of General Internal Medicine and Primary Care, Brigham & Women's Hospital, Harvard Medical School, Boston, MA, USA.
  • Jiyoun Song
    School of Nursing, Columbia University, New York, New York, USA.

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