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

Liesbet Van Bulck; Meghan Reading Turchioe; Maxim Topaz; Jiyoun Song

doi:10.1093/eurjcn/zvae091

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

Eur J Cardiovasc Nurs. 2024 Jun 24:zvae091. doi: 10.1093/eurjcn/zvae091. Online ahead of print.

Authors

Liesbet Van Bulck¹, Meghan Reading Turchioe², Maxim Topaz², Jiyoun Song³

Affiliations

¹ KU Leuven Department of Public Health and Primary Care, KU Leuven - University of Leuven, Kapucijnenvoer 7 PB7001, 3000 Leuven, Belgium.
² Columbia University School of Nursing, 560 West 168th Street, New York, NY 10032, United States.
³ University of Pennsylvania School of Nursing, 418 Curie Blvd, Philadelphia, PA 19104, United States.

PMID: 38912955
DOI: 10.1093/eurjcn/zvae091

Abstract

The electronic health record contains valuable patient data and offers opportunities to administer and analyze patients' individual needs longitudinally. However, most information in the electronic health record 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.

Keywords: Artificial Intelligence; Clinical Practice; Natural Language Processing.

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