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. 2021 May 24:278:203-210.
doi: 10.3233/SHTI210070.

Oncology on FHIR: A Data Model for Distributed Cancer Research

Mohamed Lambarki  1 , Jori Kern  1 , David Croft  1 , Cäcilia Engels  2 , Noemi Deppenwiese  3 , Alexander Kerscher  4 , Alexander Kiel  5 , Stefan Palm  6 , Martin Lablans  1   7
Affiliations

Oncology on FHIR: A Data Model for Distributed Cancer Research

Mohamed Lambarki et al. Stud Health Technol Inform. .

Abstract

In the field of oncology, a close integration of cancer research and patient care is indispensable. Although an exchange of data between health care providers and other institutions such as cancer registries has already been established in Germany, it does not take advantage of internationally coordinated health data standards. Translational cancer research would also benefit from such standards in the context of secondary data use. This paper employs use cases from the German Cancer Consortium (DKTK) to show how this gap can be closed using a harmonised FHIR-based data model, and how to apply it to an existing federated data platform.

Keywords: DKTK; FHIR; Interoperability; Oncology; biobanking; comprehensive cancer center.

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