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
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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.

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探索电子健康记录的全部潜力:自然语言处理在临床实践中的应用。
电子病历包含宝贵的病人数据,为纵向管理和分析病人的个人需求提供了机会。然而,目前电子病历中的大部分信息都是以非结构化文本符号存储的。自然语言处理(NLP)是人工智能的一个分支,它能让计算机理解、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。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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