Towards a Bavarian Oncology Real World Data Research Platform

Ziegler J, Gründner J, Rosenau L, Erpenbeck M, Prokosch HU, Deppenwiese N (2023)

Publication Type: Book chapter / Article in edited volumes

Publication year: 2023

Publisher: IOS Press

Edited Volumes: German Medical Data Sciences 2023 – Science. Close to People

Series: Studies in Health Technology and Informatics

Book Volume: 307

Pages Range: 78-85

DOI: 10.3233/SHTI230696

Abstract

INTRODUCTION: In the last decade numerous real-world data networks have been established in order to leverage the value of data from electronic health records for medical research. In Germany, a nation-wide network based on electronic health record data from all German university hospitals has been established within the Medical Informatics Initiative (MII) and recently opened for researcherst' access through the German Portal for Medical Research Data (FDPG). In Bavaria, the six university hospitals have joined forces within the Bavarian Cancer Research Center (BZKF). The oncology departments aim at establishing a federated observational research network based on the framework of the MII/FDPG and extending it with a clear focus on oncological clinical data, imaging data and molecular high throughput analysis data. METHODS: We describe necessary adaptions and extensions of existing MII components with the goal of establishing a Bavarian oncology real world data research platform with its first use case of performing federated feasibility queries on clinical oncology data. RESULTS: We share insights from developing a feasibility platform prototype and presenting it to end users. Our main discovery was that oncological data is characterized by a higher degree of interdependence and complexity compared to the MII core dataset that is already integrated into the FDPG. DISCUSSION: The significance of our work lies in the requirements we formulated for extending already existing MII components to match oncology specific data and to meet oncology researchers needs while simultaneously transferring back our results and experiences into further developments within the MII.

Authors with CRIS profile

Involved external institutions

Universität zu Lübeck Germany (DE)

How to cite

APA:

Ziegler, J., Gründner, J., Rosenau, L., Erpenbeck, M., Prokosch, H.-U., & Deppenwiese, N. (2023). Towards a Bavarian Oncology Real World Data Research Platform. In Rainer Röhrig, Niels Grabe, Martin Haag, Ursula Hübner, Ulrich Sax, Carsten Oliver Schmidt, Martin Sedlmayr, Antonia Zapf (Eds.), German Medical Data Sciences 2023 – Science. Close to People. (pp. 78-85). IOS Press.

MLA:

Ziegler, Jasmin, et al. "Towards a Bavarian Oncology Real World Data Research Platform." German Medical Data Sciences 2023 – Science. Close to People. Ed. Rainer Röhrig, Niels Grabe, Martin Haag, Ursula Hübner, Ulrich Sax, Carsten Oliver Schmidt, Martin Sedlmayr, Antonia Zapf, IOS Press, 2023. 78-85.

BibTeX: Download