Bridging Data Silos in Oncology with Modular Software for Federated Analysis on Fast Healthcare Interoperability Resources: Multisite Implementation Study

The modular pipeline successfully transformed oncological RWD across 6 hospitals, and the federated approach preserved privacy while enabling comprehensive analysis. Future work will add support for recent oBDS versions, automate data quality checks, and integrate additional clinical data. Our findings highlight the potential of federated health data networks and lay the groundwork for future research that can leverage high-quality RWD, aiming to contribute valuable knowledge to the field of cancer research.

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Publication Details

Journal
Journal of Medical Internet Research
Published
2024-12-18
DOI
https://doi.org/10.2196/65681
Citations
2
Primary Topic
Scientific Computing and Data Management
Type
article
Field-Weighted Citation Impact
2.10
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article

Bridging Data Silos in Oncology with Modular Software for Federated Analysis on Fast Healthcare Interoperability Resources: Multisite Implementation Study

Detlef Kraska, Anna Saibold, D. Hellwig, Timo Fuchs et al.
2 citations
Journal of Medical Internet Research
Scientific Computing and Data Management
2.10
article

Bridging Data Silos in Oncology with Modular Software for Federated Analysis on Fast Healthcare Interoperability Resources: Multisite Implementation Study

Detlef Kraska, Anna Saibold, D. Hellwig, Timo Fuchs, Marvin Kampf, Gerhard Schenkirsch, Alexander Kerscher, Jasmin Ziegler, Johannes Raffler, Guenter Schmidt, Stephan Ringshandl, Martin Boeker, Helmut Spengler, Lorenz A. Kapsner, Iñaki Soto‐Rey, Christian Gülden, Johanna Eicher, Hans‐Ulrich Prokosch, Fady Albashiti, Julia Maurer, Marcel Erpenbeck, Georg Fette, M. Anton Ertl, Marlien Hagedorn, Fabio Aubele, Ekaterina Vansovich, Hadieh Ghanbarian, Paul-Christian Volkmer, Peter Pallaoro, Renata De Souza Falguera, Brigitte Kühnel
article en
2 citations

Abstract

The modular pipeline successfully transformed oncological RWD across 6 hospitals, and the federated approach preserved privacy while enabling comprehensive analysis. Future work will add support for recent oBDS versions, automate data quality checks, and integrate additional clinical data. Our findings highlight the potential of federated health data networks and lay the groundwork for future research that can leverage high-quality RWD, aiming to contribute valuable knowledge to the field of cancer research.

Journal of Medical Internet ResearchVol. 27
Philipps University of Marburg (DE), Friedrich-Alexander-Universität Erlangen-Nürnberg (DE), University Hospital Augsburg (DE), TUM Klinikum (DE), University Hospital Regensburg (DE), Universitätsklinikum Erlangen (DE), Comprehensive Cancer Center Mainfranken (DE), Universitätsklinikum Würzburg (DE), Technical University of Munich (DE), Ludwig-Maximilians-Universität München (DE)
Openalex Percentile: Top 8%
Scientific Computing and Data Management
2.10
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