Ceusters Werner
New York State Center of Excellence in Bioinformatics, University at Buffalo, Buffalo, NY, USA.
AMIA Annu Symp Proc. 2011;2011:197-206. Epub 2011 Oct 22.
SNOMED CT is gaining momentum in its acceptance and operational application as a reference terminology in electronic health systems. Because it is revised every six months, organizations using SNOMED CT might feel a need to ensure that their systems are synchronized with these revisions. It has been shown that for certain sorts of applications migration to a new version is a labor-intensive process. Here two indicators - the evolution of the global information content of an ontology over consecutive versions, and the perseverance of suspicious events - are proposed to assess whether it is worthwhile upgrading when a new version is released. The indicators can be computed automatically when a new version is released and are statistically unrelated. Trend breaks in their evolution are suggestive for the possible benefit of an upgrade and their predictive power correlates well with the retrospective realism-based quality metric which forms the basis of Evolutionary Terminology Auditing.
作为电子健康系统中的参考术语，SNOMED CT在被接受和实际应用方面正获得越来越多的关注。由于它每六个月修订一次，使用SNOMED CT的组织可能会觉得有必要确保其系统与这些修订同步。已经表明，对于某些类型的应用，迁移到新版本是一个劳动密集型过程。这里提出了两个指标——连续版本中本体的全局信息内容的演变，以及可疑事件的持续性——来评估发布新版本时升级是否值得。当新版本发布时，这些指标可以自动计算，并且在统计上是不相关的。它们演变中的趋势中断表明升级可能带来的好处，并且它们的预测能力与基于回顾性现实的质量指标密切相关，该指标构成了进化术语审核的基础。
