Transforming Documents of the Austrian Nationwide EHR System into the OMOP CDM

被引：1
|
作者：
Korntheuer R.L. [1 ]
Katsch F. [1 ,2 ]
Duftschmid G. [1 ]
机构：
[1] Section of Medical Information Management, Center for Medical Statistics, Informatics and Intelligent Systems, Medical University of Vienna, Vienna
[2] Ludwig Boltzmann Institute for Digital Health and Prevention, Salzburg
来源：
Studies in Health Technology and Informatics | 2023年 / 301卷
关键词：
electronic health records; ELGA; ETL process; HL7; CDA; OMOP CDM;
D O I：
10.3233/SHTI230011
中图分类号：
学科分类号：
摘要：
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. © 2023 The authors, AIT Austrian Institute of Technology and IOS Press.
引用
收藏
页码：54 / 59
页数：5
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