Carolina Health Informatics Program, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.
J Am Med Inform Assoc. 2021 Aug 13;28(9):2017-2026. doi: 10.1093/jamia/ocab084.
This article reviews recent literature on the use of SNOMED CT as an extension of Lee et al's 2014 review on the same topic. The Lee et al's article covered literature published from 2001-2012, and the scope of this review was 2013-2020.
In line with Lee et al's methods, we searched the PubMed and Embase databases and identified 1002 articles for review, including studies from January 2013 to September 2020. The retrieved articles were categorized and analyzed according to SNOMED CT focus categories (ie, indeterminate, theoretical, pre-development, implementation, and evaluation/commodity), usage categories (eg, illustrate terminology systems theory, prospective content coverage, used to classify or code in a study, retrieve or analyze patient data, etc.), medical domains, and countries.
After applying inclusion and exclusion criteria, 622 articles were selected for final review. Compared to the papers published between 2001 and 2012, papers published between 2013 and 2020 revealed an increase in more mature usage of SNOMED CT, and the number of papers classified in the "implementation" and "evaluation/commodity" focus categories expanded. When analyzed by decade, papers in the "pre-development," "implementation," and "evaluation/commodity" categories were much more numerous in 2011-2020 than in 2001-2010, increasing from 169 to 293, 30 to 138, and 3 to 65, respectively.
Published papers in more mature usage categories have substantially increased since 2012. From 2013 to present, SNOMED CT has been increasingly implemented in more practical settings. Future research should concentrate on addressing whether SNOMED CT influences improvement in patient care.
本文综述了 SNOMED CT 的最新文献,是对 Lee 等人 2014 年关于同一主题的综述的扩展。Lee 等人的文章涵盖了 2001 年至 2012 年发表的文献,本综述的范围是 2013 年至 2020 年。
与 Lee 等人的方法一致,我们检索了 PubMed 和 Embase 数据库,共检索到 1002 篇文章进行综述,包括 2013 年 1 月至 2020 年 9 月的研究。根据 SNOMED CT 的重点类别(即不确定、理论、预开发、实施和评估/商品)、使用类别(例如,说明术语系统理论、前瞻性内容覆盖、用于研究中的分类或编码、检索或分析患者数据等)、医学领域和国家对检索到的文章进行分类和分析。
在应用纳入和排除标准后,最终有 622 篇文章被选中进行综述。与 2001 年至 2012 年发表的论文相比,2013 年至 2020 年发表的论文显示 SNOMED CT 的使用更加成熟,“实施”和“评估/商品”重点类别的论文数量增加。按十年分析,2011-2020 年“预开发”、“实施”和“评估/商品”类别的论文数量明显多于 2001-2010 年,分别从 169 篇增加到 293 篇、30 篇增加到 138 篇、3 篇增加到 65 篇。
自 2012 年以来,在更成熟的使用类别中发表的论文数量大幅增加。自 2013 年以来,SNOMED CT 已越来越多地应用于更实际的环境中。未来的研究应集中在 SNOMED CT 是否影响改善患者护理上。