Pan Xuequn, Cimino James J
Lister Hill National Center for Biomedical Communications, National Library of Medicine;; Laboratory for Informatics Development, NIH Clinical Center; Bethesda, MD.
AMIA Annu Symp Proc. 2015 Nov 5;2015:1018-23. eCollection 2015.
Clinical laboratory results are stored in electronic health records (EHRs) as structured data coded with local or standard terms. However, laboratory tests that are performed at outside laboratories are often simply labeled "outside test" or something similar, with the actual test name in a free-text result or comment field. After being aggregated into clinical data repositories, these ambiguous labels impede the retrieval of specific test results. We present a general multi-step solution that can facilitate the identification, standardization, reconciliation, and transformation of such test results. We applied our approach to data in the NIH Biomedical Translational Research Information System (BTRIS) to identify laboratory tests, map comment values to the LOINC codes that will be incorporated into our Research Entities Dictionary (RED), and develop a reference table that can be used in the EHR data extract-transform-load (ETL) process.
临床实验室结果作为使用本地术语或标准术语编码的结构化数据存储在电子健康记录(EHR)中。然而,在外部实验室进行的实验室检测通常仅标记为“外部检测”或类似内容,实际检测名称位于自由文本结果或注释字段中。在汇总到临床数据存储库后,这些模糊标签会妨碍特定检测结果的检索。我们提出了一个通用的多步骤解决方案,可促进此类检测结果的识别、标准化、协调和转换。我们将我们的方法应用于美国国立卫生研究院生物医学转化研究信息系统(BTRIS)中的数据,以识别实验室检测,将注释值映射到将纳入我们的研究实体词典(RED)的LOINC代码,并开发一个可用于EHR数据提取-转换-加载(ETL)过程的参考表。