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Transforming Documents of the Austrian Nationwide EHR System into the OMOP CDM
Raffael Lukas Korntheuer1, Florian Katsch1,2, Georg Duftschmid1
1Section of Medical Information Management, Center for Medical Statistics, Informatics and Intelligent Systems, Medical University of Vienna, Vienna, Austria.
Abstract:
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.
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