Lambarki M, Kern J, Croft D, Engels C, Deppenwiese N, Kerscher A, Kiel A, Palm S, Lablans M (2021)
Publication Type: Book chapter / Article in edited volumes
Publication year: 2021
Publisher: IOS Press
Edited Volumes: German Medical Data Sciences: Bringing Data to Life
Series: Studies in Health Technology and Informatics
Book Volume: 278
Pages Range: 203-210
ISBN: 978-1-64368-176-4
DOI: 10.3233/SHTI210070
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.
APA:
Lambarki, M., Kern, J., Croft, D., Engels, C., Deppenwiese, N., Kerscher, A.,... Lablans, M. (2021). Oncology on FHIR: A Data Model for Distributed Cancer Research. In Rainer Röhrig, Tim Beißbarth, Werner Brannath, Hans-Ulrich Prokosch, Irene Schmidtmann, Susanne Stolpe, Antonia Zapf (Eds.), German Medical Data Sciences: Bringing Data to Life. (pp. 203-210). IOS Press.
MLA:
Lambarki, Mohamed, et al. "Oncology on FHIR: A Data Model for Distributed Cancer Research." German Medical Data Sciences: Bringing Data to Life. Ed. Rainer Röhrig, Tim Beißbarth, Werner Brannath, Hans-Ulrich Prokosch, Irene Schmidtmann, Susanne Stolpe, Antonia Zapf, IOS Press, 2021. 203-210.
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