Dugas Martin, Hegselmann Stefan, Riepenhausen Sarah, Neuhaus Philipp, Greulich Leonard, Meidt Alexandra, Varghese Julian
Institute of Medical Informatics, University of Münster, Germany.
Stud Health Technol Inform. 2019 Aug 21;264:113-117. doi: 10.3233/SHTI190194.
Compatible data models are key for data integration. Data transformation after data collection has many limitations. Therefore compatible data structures should be addressed already during the design of information systems. The portal of Medical Data Models (MDM), which contains 20.000+ models and 495.000+ data items, was enhanced with a web service to identify data elements, which are frequently collected together in real information systems. Using Apache Solr, a fast search functionality to identify those elements with semantic annotations was implemented. This service was integrated into the metadata registry (MDR) component of MDM to make it available to the scientific community. It can be used to build intelligent data model editors, which suggest and import frequent data element definitions according to the current medical context.
兼容的数据模型是数据集成的关键。数据收集后的数据转换存在许多局限性。因此,在信息系统设计阶段就应考虑兼容的数据结构。医学数据模型(MDM)门户包含20000多个模型和495000多个数据项,通过一个网络服务进行了增强,以识别在实际信息系统中经常一起收集的数据元素。利用Apache Solr实现了一个快速搜索功能,用于识别带有语义注释的元素。该服务被集成到MDM的元数据注册中心(MDR)组件中,供科学界使用。它可用于构建智能数据模型编辑器,根据当前医学背景建议并导入常见的数据元素定义。