Structural methodologies for auditing SNOMED
Structural methodologies for auditing SNOMED
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DOI：
10.1016/j.jbi.2006.12.003
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发表时间：
2007-10-01
影响因子：
4.5
通讯作者：
Spackman, Kent A.
中科院分区：
文献类型：
--
作者：
Wang, Yue;Halper, Michael;Spackman, Kent A.
SNOMED是全球使用的主要医疗保健术语之一。因此，质量保证是其维护周期的重要组成部分。提出了基于组织结构方面的SNOMED审计方法。具体地说，定义了主要基于关系模式将SNOMED划分为更小的概念组的自动化技术。从这些划分中派生出两个抽象网络，即区域分类和p-区域分类。这些抽象网络提供的高层次观点构成了系统审计的基础。这些网络倾向于强调那些在抽象层面上表现为违规行为的错误。它们还支持以小组为基础的审计，即集中审查据称相似的概念集。审计方法在SNOMED的一个顶级层次结构上进行了演示。报告在审核过程中发现的错误。(C)2006 Elsevier Inc.保留所有权利。
SNOMED is one of the leading health care terminologies being used worldwide. As such, quality assurance is an important part of its maintenance cycle. Methodologies for auditing SNOMED based on structural aspects of its organization are presented. In particular, automated techniques for partitioning SNOMED into smaller groups of concepts based primarily on relationships patterns are defined. Two abstraction networks, the area taxonomy and p-area taxonomy, are derived from the partitions. The high-level views afforded by these abstraction networks form the basis for systematic auditing. The networks tend to highlight errors that manifest themselves as irregularities at the abstract level. They also support group-based auditing, where sets of purportedly similar concepts are focused on for review. The auditing methodologies are demonstrated on one of SNOMED's top-level hierarchies. Errors discovered during the auditing process are reported. (c) 2006 Elsevier Inc. All rights reserved.