Assessing the Quality of FHIR-Transformed Oncology Data

Introduction: The Bavarian Cancer Research Center (BZKF) Oncology Real-World Data Platform (oRWDP) integrates oncology datasets from six university hospitals into a federated research network, enabling scalable real world evidence (RWE) generation [ref:1]. However, the integration and transformation [for full text, please go to the a.m. URL]

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Publication Details

Journal
German Medical Science (German Research Foundation)
Published
2025-11-03
DOI
https://doi.org/10.3205/25gmds038
Primary Topic
Radiomics and Machine Learning in Medical Imaging
Type
article
Field-Weighted Citation Impact
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article

Assessing the Quality of FHIR-Transformed Oncology Data

German Medical Science (German Research Foundation)
Radiomics and Machine Learning in Medical Imaging
article

Assessing the Quality of FHIR-Transformed Oncology Data

article en

Abstract

Introduction: The Bavarian Cancer Research Center (BZKF) Oncology Real-World Data Platform (oRWDP) integrates oncology datasets from six university hospitals into a federated research network, enabling scalable real world evidence (RWE) generation [ref:1]. However, the integration and transformation [for full text, please go to the a.m. URL]

German Medical Science (German Research Foundation)
Friedrich-Alexander-Universität Erlangen-Nürnberg (DE), University Hospital Augsburg (DE), University Hospital Regensburg (DE), Universitätsklinikum Erlangen (DE), Comprehensive Cancer Center Mainfranken (DE), Universitätsklinikum Würzburg (DE)
Partnerships for the goals
Openalex Percentile: Top 35%
Radiomics and Machine Learning in Medical Imaging
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