Suppr超能文献

评估两种术语模型将护理诊断概念整合到SNOMED临床术语中的实用性。

An evaluation of the usefulness of two terminology models for integrating nursing diagnosis concepts into SNOMED Clinical Terms.

作者信息

Bakken S, Warren J J, Lundberg C, Casey A, Correia C, Konicek D, Zingo C

机构信息

Department of Medical Informatics, School of Nursing, Columbia University, 630 West 168th Street, Mailbox 6, New York, NY, USA.

出版信息

Int J Med Inform. 2002 Dec 18;68(1-3):71-7. doi: 10.1016/s1386-5056(02)00066-7.

Abstract

OBJECTIVES

We evaluated the usefulness of two models for integrating nursing diagnosis concepts into SNOMED Clinical Terms (CT).

METHODS

First, we dissected nursing diagnosis term phrases from two source terminologies (North American Nursing Diagnosis Association Taxonomy 1 (NANDA) and Omaha System) into the semantic categories of the European Committee for Standardization (CEN) categorical structure and ISO reference terminology model (RTM). Second, we critically analyzed the similarities between the semantic links in the CEN and ISO models and the semantic links used to formally define diagnostic concepts in SNOMED CT.

RESULTS

Our findings demonstrated that focus, bearer/subject of information, and judgment were present in 100% of the NANDA and Omaha term phrases. The Omaha term phrases contained no additional descriptors beyond those considered mandatory in the CEN and ISO models. The comparison among the semantic links showed that SNOMED CT currently contains all but one of the semantic links needed to model the two source terminologies for integration. In conclusion, our findings support the potential utility of the CEN and ISO models for integrating nursing diagnostic concepts into SNOMED CT.

摘要

目的

我们评估了两种将护理诊断概念整合到SNOMED临床术语(CT)中的模型的实用性。

方法

首先,我们将来自两种源术语表(北美护理诊断协会分类法1(NANDA)和奥马哈系统)的护理诊断术语短语分解为欧洲标准化委员会(CEN)分类结构和ISO参考术语模型(RTM)的语义类别。其次,我们批判性地分析了CEN和ISO模型中的语义链接与用于在SNOMED CT中正式定义诊断概念的语义链接之间的相似性。

结果

我们的研究结果表明,在100%的NANDA和奥马哈术语短语中都存在重点、信息承载者/主体和判断。奥马哈术语短语除了CEN和ISO模型中视为强制性的描述符外,没有其他额外的描述符。语义链接之间的比较表明,SNOMED CT目前包含为整合两种源术语表进行建模所需的除一个之外的所有语义链接。总之,我们的研究结果支持CEN和ISO模型将护理诊断概念整合到SNOMED CT中的潜在实用性。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验