Boxwala Aziz A, Zeng Qing T, Chamberas Anthony, Sato Luke, Dierks Meghan
Risk Management Foundation of the Harvard Medical Institutions, Cambridge, MA, USA.
AMIA Annu Symp Proc. 2003;2003:110-4.
The integration and large-scale analyses of medical error databases would be greatly facilitated by the use of a standard terminology. We investigated the availability in the UMLS metathesaurus of concepts that are required for coding patient safety data. Terms from three proprietary patient safety terminologies were mapped to the concepts in UMLS by an automated mapping program developed by us. From these candidate mappings, the concept that matched its corresponding term was selected manually. The reliability of the mapping procedure was verified by manually searching for terms in the UMLS Knowledge Source Server. Matching concepts in UMLS were identified for less than 27% of the terms in the study dataset. The matching rates of terms that describe the type of error and the causes of errors were even lower. The lack of such terms in the existing standard terminologies underscores the need for development of a standard patient safety terminology.
使用标准术语将极大地促进医疗差错数据库的整合和大规模分析。我们研究了统一医学语言系统（UMLS）元词表中编码患者安全数据所需概念的可用性。通过我们开发的自动映射程序，将来自三种专有患者安全术语的词汇映射到UMLS中的概念。从这些候选映射中，手动选择与相应术语匹配的概念。通过在UMLS知识源服务器中手动搜索术语来验证映射过程的可靠性。在研究数据集中，不到27%的术语在UMLS中找到了匹配的概念。描述差错类型和差错原因的术语的匹配率甚至更低。现有标准术语中缺乏此类术语凸显了开发标准患者安全术语的必要性。
