Cuggia Marc, Garcelon Nicolas, Campillo-Gimenez Boris, Bernicot Thomas, Laurent Jean-François, Garin Etienne, Happe André, Duvauferrier Régis
UMR 936 Inserm, Faculté de Médicine de Rennes, France.
Stud Health Technol Inform. 2011;169:584-8.
High amount of relevant information is contained in reports stored in the electronic patient records and associated metadata. R-oogle is a project aiming at developing information retrieval engines adapted to these reports and designed for clinicians. The system consists in a data warehouse (full-text reports and structured data) imported from two different hospital information systems. Information retrieval is performed using metadata-based semantic and full-text search methods (as Google). Applications may be biomarkers identification in a translational approach, search of specific cases, and constitution of cohorts, professional practice evaluation, and quality control assessment.
存储在电子病历及相关元数据中的报告包含大量相关信息。R-oogle是一个旨在开发适用于这些报告并为临床医生设计的信息检索引擎的项目。该系统由从两个不同医院信息系统导入的数据仓库(全文报告和结构化数据)组成。信息检索使用基于元数据的语义和全文搜索方法(如谷歌)来执行。应用可能包括以转化方式进行生物标志物识别、特定病例搜索、队列构建、专业实践评估和质量控制评估。