Portability issues for a structured clinical vocabulary: Mapping from Yale to the Columbia medical entities dictionary
Portability issues for a structured clinical vocabulary: Mapping from Yale to the Columbia medical entities dictionary
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DOI：
10.1136/jamia.1996.96342650
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发表时间：
1996-01-01
影响因子：
6.4
通讯作者：
Miller, PL
中科院分区：
文献类型：
--
作者：
Kannry, JL;Wright, L;Miller, PL
目的：要研究涉及映射现有的结构化控制词汇，医学实体词典（MED）在哥伦比亚大学开发的问题，一个机构的词汇，实验室和药房词汇的耶鲁纽黑文Medical Center.Design：200耶鲁药学术语和200耶鲁实验室术语随机选择的数据库文件中包含所有的耶鲁实验室和药房术语。这400项，然后映射到MED在三个阶段：映射条款，映射条款之间的关系，和映射属性修改terms.Results：73%的耶鲁药学术语映射到MED术语。49%的耶鲁实验室术语映射到MED术语。在消除了某些过时和不适当的实验室术语后，后者的发生率提高到59%。23%不匹配的耶鲁实验室术语由于粒度与MED术语的差异而未能匹配。耶鲁和MED药学术语共有30个不同属性中的12个。耶鲁大学和MED实验室的条款共享14 23个不同的attributes.Conclusion：一个机构的词汇映射到一个结构化的控制词汇需要映射的条款，关系和属性的水平进行。映射过程揭示了局部词汇子集标准化、属性表示标准化和术语粒度标准化的重要性。
Objective: To examine the issues involved in mapping an existing structured controlled vocabulary, the Medical Entities Dictionary (MED) developed at Columbia University, to an institutional vocabulary, the laboratory and pharmacy vocabularies of the Yale New Haven Medical Center.Design: 200 Yale pharmacy terms and 200 Yale laboratory terms were randomly selected from database files containing all of the Yale laboratory and pharmacy terms. These 400 terms were then mapped to the MED in three phases: mapping terms, mapping relationships between terms, and mapping attributes that modify terms.Results: 73% of the Yale pharmacy terms mapped to MED terms. 49% of the Yale laboratory terms mapped to MED terms. After certain obsolete and otherwise inappropriate laboratory terms were eliminated, the latter rate improved to 59%. 23% of the unmatched Yale laboratory terms failed to match because of differences in granularity with MED terms. The Yale and MED pharmacy terms share 12 of 30 distinct attributes. The Yale and MED laboratory terms share 14 of 23 distinct attributes.Conclusion: The mapping of an institutional vocabulary to a structured controlled vocabulary requires that the mapping be performed at the level of terms, relationships, and attributes. The mapping process revealed the importance of standardization of local vocabulary subsets, standardization of attribute representation, and term granularity.