Park Hyun-Tae, Lu Der-Fa, Konicek Debra, Delaney Connie
College of Nursing, The University of Iowa, Iowa City, IA 52242, USA.
Comput Inform Nurs. 2007 Jul-Aug;25(4):198-208; quiz 209-10. doi: 10.1097/01.NCN.0000280590.35690.7d.
The Systemized Nomenclature of Medical Clinical Terms, or SNOMED-CT, was developed to create a comprehensive clinical healthcare reference terminology. Standardized nursing language concepts and terminologies recognized by the American Nurses Association have been added to SNOMED-CT and include the NANDA's Taxonomy II, NIC, NOC, the Omaha System, and CCC. The relationship link between terminologies and SNOMED-CT is provided in a mapping table, which identifies the source terminology. The purpose of this study is to examine the validity of the cross-mapping between the source system (NIC) and the target system (SNOMED-CT) using the methodology developed by Lu and colleagues to detect misassigned concepts. Knowledge representation concepts in the NIC and SNOMED-CT systems were compared using expert human judgment. Of 514 NIC concepts, 14 (2.7%) were identified as misassigned in SNOMED-CT. Two inappropriate representations of concepts were discovered in NIC. Results and recommendations were given to NIC and to SNOMED-CT.
医学临床术语系统命名法(SNOMED-CT)旨在创建一个全面的临床医疗参考术语集。美国护士协会认可的标准化护理语言概念和术语已被添加到SNOMED-CT中,包括北美护理诊断协会(NANDA)的分类法II、护理干预分类(NIC)、护理结局分类(NOC)、奥马哈系统和临床护理分类(CCC)。术语与SNOMED-CT之间的关系链接在一个映射表中提供,该表标识了源术语。本研究的目的是使用卢及其同事开发的方法来检测错误分配的概念,以检验源系统(NIC)与目标系统(SNOMED-CT)之间交叉映射的有效性。使用专家人工判断对NIC和SNOMED-CT系统中的知识表示概念进行了比较。在514个NIC概念中,有14个(2.7%)在SNOMED-CT中被确定为错误分配。在NIC中发现了两个概念的不当表示。研究结果和建议已提交给NIC和SNOMED-CT。