TY  - JOUR
AU  - Lambarki, Mohamed
AU  - Kern, Jori
AU  - Croft, David
AU  - Engels, Cäcilia
AU  - Deppenwiese, Noemi
AU  - Kerscher, Alexander
AU  - Kiel, Alexander
AU  - Palm, Stefan
AU  - Lablans, Martin
TI  - Oncology on FHIR: A Data Model for Distributed Cancer Research.
JO  - Studies in health technology and informatics
VL  - 278
SN  - 0926-9630
CY  - Amsterdam
PB  - IOS Press
M1  - DKFZ-2021-01176
SN  - 9781643681764 (print)
SP  - 203-210
PY  - 2021
N1  - #EA:E260#LA:E260#
AB  - 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.
KW  - DKTK (Other)
KW  - FHIR (Other)
KW  - Interoperability (Other)
KW  - Oncology (Other)
KW  - biobanking (Other)
KW  - comprehensive cancer center (Other)
LB  - PUB:(DE-HGF)3 ; PUB:(DE-HGF)16
C6  - pmid:34042895
DO  - DOI:10.3233/SHTI210070
UR  - https://inrepo02.dkfz.de/record/168980
ER  -