日常临床护理语言在统一医学语言系统（UMLS）和医学系统命名法（SNOMED）中的表示。
Representation of everyday clinical nursing language in UMLS and SNOMED.
作者信息
Lange L L
机构信息
Nursing Informatics Program, University of Utah, Salt Lake City, USA.
出版信息
Proc AMIA Annu Fall Symp. 1996:140-4.
Abstract
Everyday clinical nursing language is informal and idiosyncratic. Whether the everyday language of nurses can be represented by standardized vocabulary systems, such as the UMLS and SNOMED, was the focus of the study. Computer systems that allow clinicians to pick terms that are familiar are likely to be better accepted and thus more effective than systems that impose formal terminologies on users. Nursing phrases were extracted from handwritten shift notes, reduced to atomic-level terms, and matched to UMLS and SNOMED. Exact matches were obtained for 56% of terms in UMLS and 49% in SNOMED. Fifty-nine semantic types and 24 different source vocabularies were represented by the terms. Nursing vocabularies were represented by only 5% of source vocabulary citations.
摘要
日常临床护理语言是非正式且独特的。护士的日常语言能否由诸如统一医学语言系统（UMLS）和医学系统命名法（SNOMED）等标准化词汇系统来表示，是该研究的重点。允许临床医生选择熟悉术语的计算机系统可能比那些将正式术语强加给用户的系统更易被接受，因而更有效。护理短语从手写的交班记录中提取出来，简化为原子级术语，并与UMLS和SNOMED进行匹配。在UMLS中，56%的术语获得了精确匹配，在SNOMED中为49%。这些术语涵盖了59种语义类型和24种不同的源词汇。护理词汇仅占源词汇引用的5%。
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