Practical Considerations for Developing Clinical Natural Language Processing Systems for Population Health Management and Measurement.

Practical Considerations for Developing Clinical Natural Language Processing Systems for Population Health Management and Measurement.
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DOI:
10.2196/37805
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发表时间:
2023-01-03
影响因子:
3.2
通讯作者:
Yazdany, Jinoos
Yazdany, Jinoos
中科院分区:
医学3区
文献类型:
--
作者:
Tamang, Suzanne;Humbert-Droz, Marie;Gianfrancesco, Milena;Izadi, Zara;Schmajuk, Gabriela;Yazdany, Jinoos

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专家们已经注意到临床自然语言处理(NLP)研究与临床决策支持等实际应用之间存在着令人担忧的差距。为了帮助解决这一差距,从这个角度来看,我们列举了一系列开发NLP系统的实际考虑因素,以支持现实世界的临床需求并改善健康结果。它们包括确定(1)数据和计算资源是否准备好用于NLP,(2)使用和维护NLP系统的组织激励,以及(3)实施和持续监控的可行性。这些考虑因素旨在有利于未来临床NLP项目的设计,并可应用于各种环境,包括在美国和全球采用电子病历的大型卫生系统或小型临床实践。
Experts have noted a concerning gap between clinical natural language processing (NLP) research and real-world applications, such as clinical decision support. To help address this gap, in this viewpoint, we enumerate a set of practical considerations for developing an NLP system to support real-world clinical needs and improve health outcomes. They include determining (1) the readiness of the data and compute resources for NLP, (2) the organizational incentives to use and maintain the NLP systems, and (3) the feasibility of implementation and continued monitoring. These considerations are intended to benefit the design of future clinical NLP projects and can be applied across a variety of settings, including large health systems or smaller clinical practices that have adopted electronic medical records in the United States and globally.
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