标准化医学术语SNOMED-CT、ICD-10-CM和ICD-11中眼科感染与创伤的概念覆盖分析
Concept Coverage Analysis of Ophthalmic Infections and Trauma among the Standardized Medical Terminologies SNOMED-CT, ICD-10-CM, and ICD-11.
作者信息
Tavakoli Kiana, Kalaw Fritz Gerald P, Bhanvadia Sonali, Hogarth Michael, Baxter Sally L
机构信息
Division of Ophthalmology Informatics and Data Science, Viterbi Family Department of Ophthalmology and Shiley Eye Institute, University of California San Diego, La Jolla, California.
Division of Biomedical Informatics, Department of Medicine, University of California San Diego, La Jolla, California.
出版信息
Ophthalmol Sci. 2023 May 25;3(4):100337. doi: 10.1016/j.xops.2023.100337. eCollection 2023 Dec.
PURPOSE
Widespread electronic health record adoption has generated a large volume of data and emphasized the need for standardized terminology to describe clinical concepts. Here, we undertook a systematic concept coverage analysis to determine the representation of clinical concepts in ophthalmic infection and ophthalmic trauma among standardized medical terminologies, including the Systematized Nomenclature of Medicine Clinical Terms (SNOMED-CT), the International Classification of Diseases (ICD) version 10 with clinical modifications (ICD-10-CM), and ICD version 11 (ICD-11).
DESIGN
Extraction of concepts related to ophthalmic infection and ophthalmic trauma and structured search in terminology browsers.
DATA SOURCES
The American Academy of Ophthalmology Basic and Clinical Science Course (BCSC), SNOMED-CT, and ICD-10-CM terminologies from the Observational Health Data Sciences and Informatics Athena browser, and the ICD-11 terminology browser.
METHODS
Concepts pertaining to ophthalmic infection and ophthalmic trauma were extracted from the 2022 BCSC free text and index terms. We searched terminology browsers to identify corresponding codes and classified the extent of semantic alignment as , , , or in each terminology. The overlap of equal concepts in each terminology was represented in a Venn diagram.
MAIN OUTCOME MEASURES
Proportions of clinical concepts with corresponding codes at various levels of semantic alignment.
RESULTS
A total of 443 concepts were identified: 304 concepts related to ophthalmic infection and 139 concepts related to ophthalmic trauma. The SNOMED-CT had the highest proportion of equal coverage, with 82.0% (249 of 304) among concepts related to ophthalmic infection and 82.0% (115 of 139) among concepts related to ophthalmic trauma. Across all concepts, 28% (124 of 443) were classified as equal in ICD-10-CM and 52.8% (234 of 443) were classified as equal in ICD-11.
CONCLUSIONS
The SNOMED-CT had significantly better semantic alignment than ICD-10-CM and ICD-11 for ophthalmic infections and ophthalmic trauma. This demonstrates opportunity for continuing advancement of representation of ophthalmic concepts in standardized medical terminologies.
目的
广泛采用电子健康记录产生了大量数据，并凸显了使用标准化术语来描述临床概念的必要性。在此，我们进行了一项系统的概念覆盖分析，以确定标准化医学术语中眼科感染和眼科创伤临床概念的表示情况，这些术语包括医学系统命名法临床术语（SNOMED-CT）、临床修正版国际疾病分类第十版（ICD-10-CM）和国际疾病分类第十一版（ICD-11）。
设计
提取与眼科感染和眼科创伤相关的概念，并在术语浏览器中进行结构化搜索。
数据来源
美国眼科学会基础与临床科学课程（BCSC）、SNOMED-CT以及来自观察性健康数据科学与信息学雅典娜浏览器的ICD-10-CM术语，还有ICD-11术语浏览器。
方法
从2022年BCSC的自由文本和索引词中提取与眼科感染和眼科创伤相关的概念。我们在术语浏览器中进行搜索以识别相应代码，并将每个术语中的语义对齐程度分类为完全匹配、大部分匹配、部分匹配或无匹配。每个术语中相等概念的重叠情况用维恩图表示。
主要观察指标
在不同语义对齐水平上具有相应代码的临床概念比例。
结果
共识别出443个概念：304个与眼科感染相关的概念和139个与眼科创伤相关的概念。SNOMED-CT的完全覆盖比例最高，在与眼科感染相关的概念中为82.0%（304个中的249个），在与眼科创伤相关的概念中为82.0%（139个中的115个）。在所有概念中，28%（443个中的124个）在ICD-10-CM中被分类为完全匹配，52.8%（443个中的234个）在ICD-11中被分类为完全匹配。
结论
对于眼科感染和眼科创伤，SNOMED-CT的语义对齐明显优于ICD-10-CM和ICD-11。这表明在标准化医学术语中继续推进眼科概念表示的机会。
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