Book/Journal Article

DKFZ-2021-01176

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Oncology on FHIR: A Data Model for Distributed Cancer Research.

Lambarki, M. (First author)DKFZ* ; Kern, J.DKFZ* ; Croft, D.DKFZ* ; Engels, C. ; Deppenwiese, N. ; Kerscher, A. ; Kiel, A. ; Palm, S. ; Lablans, M. (Last author)DKFZ*

2021
IOS Press Amsterdam
ISBN: 9781643681764 (print), 9781643681771 (electronic)

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Please use a persistent id in citations: doi:DOI: 10.3233/SHTI210070   doi:10.3233/SHTI210070  doi:DOI: 10.3233/SHTI210070

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.

Keyword(s): DKTK ; FHIR ; Interoperability ; Oncology ; biobanking ; comprehensive cancer center

Note: #EA:E260#LA:E260#

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Contributing Institute(s):

1. Verbundinformationssysteme (E260)

Research Program(s):

1. 315 - Bildgebung und Radioonkologie (POF4-315) (POF4-315)

Appears in the scientific report 2021

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Database coverage:
; NCBI Molecular Biology Database ; SCOPUS

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