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

Author:

Van Bulck Liesbet1ORCID,Reading Turchioe Meghan2ORCID,Topaz Maxim2ORCID,Song Jiyoun3ORCID

Affiliation:

1. KU Leuven Department of Public Health and Primary Care, KU Leuven—University of Leuven , Kapucijnenvoer 7 PB7001, 3000 Leuven , Belgium

2. School of Nursing, Columbia University , 560 West 168th Street, New York, NY 10032 , USA

3. Department of Biobehavioral Health Sciences, University of Pennsylvania School of Nursing , 418 Curie Blvd, Philadelphia, PA 19104 , USA

Abstract

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.

Funder

Research Foundation Flanders

NINR

NHLBI

Publisher

Oxford University Press (OUP)

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