医学系统命名法临床术语（SNOMED CT）：通用医学评估模板的实用工具。
SNOMED CT: utility for a general medical evaluation template.
作者信息
Brown Steven H, Elkin Peter L, Bauer Brent A, Wahner-Roedler Dietlind, Husser Casey S, Temesgen Zelalem, Hardenbrook Shawn P, Fielstein Elliot M, Rosenbloom S Trent
机构信息
Department of Veterans Affairs, Nashville, TN, USA.
出版信息
AMIA Annu Symp Proc. 2006;2006:101-5.
BACKGROUND
The U.S. government has licensed SNOMED CT to permit broad-based evaluation and use of the terminology. We evaluated the ability of SNOMED CT to represent terms used for interface objects (e.g., labels and captions) and concepts used for data and branching logic in a general medical evaluation template in use within the Department of Veterans Affairs.
METHODS
The general medical evaluation form definition, report definition, and script files were parsed and 1573 expressions were mapped into SNOMED CT. Compositional expressions required to represent 1171 concepts. Double independent reviews were conducted. Exact concept level matches were used to evaluate reference coverage. Exact term level matches were required for interface terms. Semantics were analyzed for a randomly selected subset of 20 terms.
RESULTS
Sensitivity of SNOMED CT as a reference terminology was 63.8% , ranging from 29.3% for history items to 92.4% for exam items. SNOMED CT's sensitivity as an "interface terminology" was 55.0%. 80% of the necessary linking semantics for the subset were present. Subgroup statistics are presented.
DISCUSSION
SNOMED CT is promising as a terminology for knowledge representation underlying a large general medical evaluation. Its performed less well as an interface terminology.
背景
美国政府已授权使用SNOMED CT，以允许对该术语进行广泛评估和使用。我们评估了SNOMED CT在退伍军人事务部使用的通用医学评估模板中表示接口对象（如标签和标题）所用术语以及数据和分支逻辑所用概念的能力。
方法
解析通用医学评估表单定义、报告定义和脚本文件，并将1573个表达式映射到SNOMED CT中。表示1171个概念需要组合表达式。进行了两次独立评审。使用精确的概念级别匹配来评估参考覆盖率。接口术语需要精确的术语级别匹配。对随机选择的20个术语子集进行语义分析。
结果
SNOMED CT作为参考术语的敏感度为63.8%，历史项目的敏感度为29.3%，检查项目的敏感度为92.4%。SNOMED CT作为“接口术语”的敏感度为55.0%。该子集中80%的必要链接语义存在。给出了亚组统计数据。
讨论
SNOMED CT作为大型通用医学评估基础的知识表示术语很有前景。但其作为接口术语的表现较差。
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