Section of Medical Information Management, Center for Medical Statistics, Informatics and Intelligent Systems, Medical University of Vienna, Vienna, Austria.
Ludwig Boltzmann Institute for Digital Health and Prevention, Salzburg, Austria.
Stud Health Technol Inform. 2023 May 2;301:54-59. doi: 10.3233/SHTI230011.
The Austrian nationwide EHR system ELGA can contribute valuable data for research due to its high volume of data and broad population coverage. In order to be applicable in international research projects, transformation to a standardized, research-oriented data model such as the OMOP common data model is essential. In this paper we describe our experience with the corresponding transformation task. Using Python scripts, we implemented a prototypical process that extracts, transforms, maps, and loads fully structured sections of ELGA documents to an OMOP database.
奥地利全国性的电子健康记录系统 ELGA 由于其庞大的数据量和广泛的人口覆盖范围，可以为研究提供有价值的数据。为了能够应用于国际研究项目，必须将其转换为标准化的、面向研究的数据集模型，如 OMOP 通用数据集模型。本文介绍了我们在相应转换任务方面的经验。我们使用 Python 脚本实现了一个原型流程，该流程可以提取、转换、映射和加载 ELGA 文档的全结构化部分到 OMOP 数据库。
