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

Stud Health Technol Inform. 2023 Jun 29:305:287-290. doi: 10.3233/SHTI230485.

Abstract

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.

Keywords: Data Harmonization; Data Warehousing; Secondary Data Analysis.

MeSH terms

  • Data Analysis*
  • Data Warehousing*
  • Germany
  • Health Facilities
  • Schools, Medical