Department of Biomedical Informatics, University of Utah, Salt Lake City, UT.
Department of Internal Medicine, University of Utah, Salt Lake City, UT.
AMIA Annu Symp Proc. 2022 Feb 21;2021:343-351. eCollection 2021.
Use of Electronic Nicotine Delivery Systems (ENDS, colloquially known as "electronic cigarettes") has increased substantially in the United States in the decade since 2010. However, currently relatively little is known regarding the documentation of ENDS use in clinical notes. With this study, we describe the development of an annotation scheme (and associated annotated corpus) consisting of 4,351 ENDS mentions derived from Department of Veterans Affairs clinical notes during the period 2010-2020. Analysis of our corpus provides important insights into ENDS documentation practices at the VA, in addition to providing a resource for the future development and validation of Natural Language Processing algorithms capable of reliably identifying ENDS-use status.
自 2010 年以来,美国使用电子尼古丁输送系统(ENDS,俗称“电子烟”)的情况大幅增加。然而,目前对于在临床记录中记录 ENDS 使用情况的了解相对较少。本研究描述了一种注释方案(和相关的带注释语料库)的开发,该方案由 2010 年至 2020 年期间退伍军人事务部临床记录中的 4351 个 ENDS 提及组成。对我们语料库的分析除了为未来开发和验证能够可靠识别 ENDS 使用情况的自然语言处理算法提供资源外,还为 VA 中的 ENDS 记录实践提供了重要的见解。