Bousquet Cédric, Trombert Béatrice, Souvignet Julien, Sadou Eric, Rodrigues Jean-Marie
Department of Public Health and Medical Informatics, CHU Université Jean-Monnet, Saint Etienne, France;
AMIA Annu Symp Proc. 2010 Nov 13;2010:61-5.
In France, clinical procedures are coded with the French procedures classification (Classification Commune des Actes Médicaux, CCAM) and recorded in every hospital. CCAM uses hierarchical semi-structured codes which describe procedures (topography, action, access mode and/or technique). This amount of information could be analyzed and used for clinical and medico-economic evaluation. But relevant and practical data searches are difficult. In this paper we present a use case about searching for endoscopic activities in a case mix database to evaluate the relevance of the hierarchical organization and semi structured codes of CCAM in order to retrieve data already coded using this controlled vocabulary. Precision was 0.79 and recall 0.84 in the hierarchical search whereas precision was 0.94 and recall was 0.81 using part of the code related to access mode and/or technique. We discuss a revision of the CCAM by the use of an existing modeling (from the GALEN project) and better knowledge representation for each procedure.
在法国，临床程序采用法国程序分类法（医学行为通用分类法，CCAM）进行编码，并记录在每家医院中。CCAM使用分层半结构化代码来描述程序（部位、操作、进入方式和/或技术）。这些信息可用于临床和医学经济评估分析。但进行相关且实用的数据检索很困难。在本文中，我们展示了一个用例，即在病例组合数据库中搜索内镜检查活动，以评估CCAM分层组织和半结构化代码的相关性，从而检索已使用该受控词汇表编码的数据。分层搜索的精确率为0.79，召回率为0.84；而使用与进入方式和/或技术相关的部分代码时，精确率为0.94，召回率为0.81。我们讨论了通过使用现有模型（来自盖伦项目）和对每个程序更好的知识表示来对CCAM进行修订。
