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Harmonisation of German Health Care Data Using the OMOP Common Data Model – A Practice Report

  • Data harmonization is an important step in large-scale data analysis and for generating evidence on real world data in healthcare. With the OMOP common data model, a relevant instrument for data harmonization is available that is being promoted by different networks and communities. At the Hannover Medical School (MHH) in Germany, an Enterprise Clinical Research Data Warehouse (ECRDW) is established and harmonization of that data source is the focus of this work. We present MHH’s first implementation of the OMOP common data model on top of the ECRDW data source and demonstrate the challenges concerning the mapping of German healthcare terminologies to a standardized format.

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Author:Nicole Hechtel, Johanna Apfel-StarkeORCiD, Sophia Köhler, Maikel Fradziak, Norman Schönfeld, Jens Steinmeyer, Steffen Oeltze-Jafra
DOI original:https://doi.org/10.3233/SHTI230485
Parent Title (English):Healthcare Transformation with Informatics and Artificial Intelligence (Studies in Health Technology and Informatics ; 305)
Document Type:Article
Year of Completion:2023
Publishing Institution:Hochschule Hannover
Release Date:2024/03/28
Tag:Data Harmonization; Data Warehousing; Secondary Data Analysis
GND Keyword:Data-Warehouse-Konzept; Gesundheitsfürsorge
First Page:287
Last Page:290
Link to catalogue:189554856X
Institutes:Fakultät III - Medien, Information und Design
DDC classes:610 Medizin, Gesundheit
004 Informatik
Licence (German):License LogoCreative Commons - CC BY-NC - Namensnennung - Nicht kommerziell 4.0 International