{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,5,24]],"date-time":"2025-05-24T15:26:10Z","timestamp":1748100370002},"reference-count":0,"publisher":"IOS Press","license":[{"start":{"date-parts":[[2022,8,17]],"date-time":"2022-08-17T00:00:00Z","timestamp":1660694400000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022,8,17]]},"abstract":"<jats:p>The integration of routine medical care data into research endeavors promises great value. However, access to this extra-domain data is constrained by numerous technical and legal requirements. The German Medical Informatics Initiative (MII) \u2013 initiated by the Federal Ministry of Research and Education (BMBF) \u2013 is making progress in setting up Medical Data Integration Centers to consolidate data stored in clinical primary information systems. Unfortunately, for many research questions cross-organizational data sources are required, as one organization\u2019s data is insufficient, especially in rare disease research. A first step, for research projects exploring possible multi-centric study designs, is to perform a feasibility query, i.e., a cohort size calculation transcending organizational boundaries. Existing solutions for this problem, like the previously introduced feasibility process for the MII\u2019s HiGHmed consortium, perform well for most use cases. However, there exist use cases where neither centralized data repositories, nor Trusted Third Parties are acceptable for data aggregation. Based on open standards, such as BPMN 2.0 and HL7 FHIR R4, as well as the cryptographic techniques of secure Multi-Party Computation, we introduce a fully automated, decentral feasibility query process without any central component or Trusted Third Party. The open source implementation of the proposed solution is intended as a plugin process to the HiGHmed Data Sharing Framework. The process\u2019s concept and underlying algorithms can also be used independently.<\/jats:p>","DOI":"10.3233\/shti220802","type":"book-chapter","created":{"date-parts":[[2022,8,17]],"date-time":"2022-08-17T19:25:36Z","timestamp":1660764336000},"source":"Crossref","is-referenced-by-count":2,"title":["Secure Multi-Party Computation Based Distributed Feasibility Queries \u2013 A HiGHmed Use Case"],"prefix":"10.3233","author":[{"given":"Reto","family":"Wettstein","sequence":"first","affiliation":[{"name":"Institute of Medical Informatics, Heidelberg University Hospital, Heidelberg, Germany"}]},{"given":"Tobias","family":"Kussel","sequence":"additional","affiliation":[{"name":"Computational Biology & Simulation, Technical University Darmstadt, Darmstadt, Germany"}]},{"given":"Hauke","family":"Hund","sequence":"additional","affiliation":[{"name":"GECKO Institute, Heilbronn University of Applied Sciences, Heilbronn, Germany"}]},{"given":"Christian","family":"Fegeler","sequence":"additional","affiliation":[{"name":"GECKO Institute, Heilbronn University of Applied Sciences, Heilbronn, Germany"}]},{"given":"Martin","family":"Dugas","sequence":"additional","affiliation":[{"name":"Institute of Medical Informatics, Heidelberg University Hospital, Heidelberg, Germany"}]},{"given":"Kay","family":"Hamacher","sequence":"additional","affiliation":[{"name":"Computational Biology & Simulation, Technical University Darmstadt, Darmstadt, Germany"}]}],"member":"7437","container-title":["Studies in Health Technology and Informatics","German Medical Data Sciences 2022 \u2013 Future Medicine: More Precise, More Integrative, More Sustainable!"],"original-title":[],"link":[{"URL":"https:\/\/ebooks.iospress.nl\/pdf\/doi\/10.3233\/SHTI220802","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,8,17]],"date-time":"2022-08-17T19:25:37Z","timestamp":1660764337000},"score":1,"resource":{"primary":{"URL":"https:\/\/ebooks.iospress.nl\/doi\/10.3233\/SHTI220802"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,8,17]]},"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/shti220802","relation":{},"ISSN":["0926-9630","1879-8365"],"issn-type":[{"value":"0926-9630","type":"print"},{"value":"1879-8365","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,8,17]]}}}