Van Bulck Liesbet, Reading Turchioe Meghan, Topaz Maxim, Song Jiyoun
KU Leuven Department of Public Health and Primary Care, KU Leuven-University of Leuven, Kapucijnenvoer 7 PB7001, 3000 Leuven, Belgium.
School of Nursing, Columbia University, 560 West 168th Street, New York, NY 10032, USA.
Eur J Cardiovasc Nurs. 2025 Mar 3;24(2):332-337. doi: 10.1093/eurjcn/zvae091.
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.
电子健康记录（EHR）包含有价值的患者数据，并提供了纵向管理和分析患者个体需求的机会。然而，目前EHR中的大多数信息都以非结构化文本记录的形式存储。自然语言处理（NLP）是人工智能的一个分支，它使计算机能够理解、解释和生成人类语言，可用于深入研究非结构化文本数据，以发现有价值的见解和知识。本文讨论了不同类型的NLP、NLP在心血管护理方面的潜力，以及作为临床医生如何开始使用NLP。
