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Exploring New Possibilities for Research Data Exploration Using the Example of the German Core Data Set.

Felix Menzel1,2, Dagmar Waltemath1,2, Ron Henkel1

  • 1Department of Medical Informatics, Institute for Community Medicine, University Medicine Greifswald, Germany.

Studies in Health Technology and Informatics
|May 19, 2023
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Summary

The German Medical Informatics Initiative (MII) transforms clinical data into a graph database. This approach enhances data exploration and analysis, improving research capabilities.

Keywords:
Core Data SetData ExplorationData IntegrationGraph DatabaseHL7/FHIR

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Area of Science:

  • Medical Informatics
  • Health Data Science
  • Database Management

Background:

  • The German Medical Informatics Initiative (MII) seeks to enhance clinical data interoperability for research.
  • A German-wide common core data set (CDS) is being established by over 31 data integration centers (DIZ).
  • HL7/FHIR is a standard for data sharing, while data warehouses are common for local storage.

Purpose of the Study:

  • To investigate the advantages of using a graph database for managing and analyzing clinical routine data.
  • To explore the potential of graph databases for sophisticated data exploration and analysis within the MII framework.
  • To demonstrate a proof of concept for transforming the MII CDS into an accessible graph format.

Main Methods:

  • Developing an extract-transform-load (ETL) process to convert the MII CDS into a graph structure.
  • Storing the transformed MII CDS in a graph database.
  • Enriching the graph database with relevant meta-information.

Main Results:

  • Successfully transformed the MII CDS into a graph database.
  • Established a proof-of-concept ETL process for graph data transformation.
  • Demonstrated the potential for enhanced data exploration and analysis using the graph database.

Conclusions:

  • Graph databases offer significant potential for advanced data exploration and analysis of clinical routine data.
  • The developed ETL process provides a viable method for making the MII CDS accessible as a graph.
  • This approach can facilitate more sophisticated research by leveraging graph data structures.