Karras B T, Nath S D, Shiffman R N
Yale Center for Medical Informatics, New Haven, Connecticut, USA.
Proc AMIA Symp. 2000:413-7.
To describe application of GEM to analysis and categorization of guideline content.
We examined the application of GEM constructs to the AAP guideline on neurodiagnostic evaluation of febrile seizures. Subjects at 4 sites marked-up the guideline content using a hierarchical template that includes branches for identity, developer, purpose, intended audience, method of development, knowledge components, testing, and review. The types of elements used were tabulated. Subjects were surveyed regarding the usability of the model.
Eight subjects analyzed the guideline, using between 46 and 149 elements to model its content. There was considerable variation in the application of elements. The number of elements used correlated with time to complete the task. Subjects found application of GEM to be straightforward in 6 of 8 categories and sufficiently comprehensive to model the guideline's information content.
Subjects found GEM constructs were able to model the content of the guideline. Improved editing tools will facilitate translation.
描述通用评估方法（GEM）在指南内容分析和分类中的应用。
我们研究了GEM构建在关于热性惊厥神经诊断评估的美国儿科学会（AAP）指南中的应用。4个地点的受试者使用一个分层模板对指南内容进行标注，该模板包括身份、开发者、目的、目标受众、制定方法、知识组件、测试和审查等分支。对所使用的元素类型进行了列表统计。就该模型的可用性对受试者进行了调查。
8名受试者对该指南进行了分析，使用46至149个元素对其内容进行建模。元素的应用存在相当大的差异。使用的元素数量与完成任务的时间相关。受试者发现GEM在8个类别中的6个类别中应用起来很直接，并且足够全面以对指南的信息内容进行建模。
受试者发现GEM构建能够对指南的内容进行建模。改进的编辑工具将有助于翻译。
