@inproceedings{AppenzellerBartholomaeusBreitschwerdtetal.2021, author = {Appenzeller, Arno and Bartholom{\"a}us, Sebastian and Breitschwerdt, R{\"u}diger and Claussen, Carsten and Geisler, Sandra and Hartz, Tobias and Kachel, Philipp and Krempel, Erik and Robert, Sebastian and Ruth Zeissig, Sylke}, title = {Towards Distributed Healthcare Systems - Virtual Data Pooling Between Cancer Registries as Backbone of Care and Research}, series = {2021 IEEE/ACS 18th International Conference on Computer Systems and Applications (AICCSA)}, booktitle = {2021 IEEE/ACS 18th International Conference on Computer Systems and Applications (AICCSA)}, pages = {1 -- 8}, year = {2021}, abstract = {German cancer registries offer a systematic approach for the collection, storage, and management of data on patients with cancer and related diseases. Much hope in research and healthcare in general is depending on such register-based analyses in order to comprehensively consider the features of a highly diverse population. Next to the data collection the cancer registries are responsible for data protection. To fulfill legal regulations, access to data has to be controlled in a strict way leading to sometimes bureaucratic and slow processes. The situation is especially complicated in Germany, since cancer data is distributed over numerous federal cancer registries. If a nationwide data evaluation is conducted a research team has to negotiate a separate contract with each cancer registry.In a joint work in progress effort of cancer registries, technical, medical, and economical experts we propose a different solution for cooperative data processing. Our approach aims for combining data in a virtual pool based on the selection criteria of individual requests from researchers. To achieve our goal, we adapt the Fraunhofer Medical Data Space as enabling technology. The architecture we propose will allow us to pool data of multiple partners regulated by data access policies. In doing so, each of the data sources can introduce its own rules and specifications on how data is used. Additionally, we add a digital consent management that will allow individual patients to decide how their data is used. Finally, we show the high potential of the cooperative analysis of distributed cancer data supported by the proposed solution in our approach.}, language = {en} }