{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,2]],"date-time":"2026-07-02T10:51:26Z","timestamp":1782989486846,"version":"3.54.5"},"reference-count":0,"publisher":"IOS Press","isbn-type":[{"value":"9781643686684","type":"electronic"}],"license":[{"start":{"date-parts":[[2026,6,29]],"date-time":"2026-06-29T00:00:00Z","timestamp":1782691200000},"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":[[2026,6,29]]},"abstract":"<jats:p>Monolithic clinical decision support architectures entangle IT infrastructure with medical logic, compounding regulatory validation overhead (e.g., IEC 82304-1). We present an event-driven microservice architecture designed to streamline the clinical validation process through structural fault containment. Orchestrated by a Kafka message broker and gated by a Drools rule engine, the system intercepts structurally invalid data before it reaches the deterministic medical logic core comprised of ArdenSuite. Empirical testing demonstrated zero state loss during node failures and confirmed that shedding malformed data at the architectural perimeter actively prevents computational bottlenecks, effectively reducing the mean evaluation time per valid input during high-stress scenarios. By enforcing strict architectural boundaries, the pipeline decouples IT reliability from clinical safety. This confines the rigorous clinical validation burden entirely to the isolated clinical interpretation engine. The resulting secure containment boundary accelerates the integration of diverse data ingestion modalities and the continuous adaptation of clinical logic, equipping healthcare systems with an agile, compliant foundation for evolving decision support.<\/jats:p>","DOI":"10.3233\/shti260887","type":"book-chapter","created":{"date-parts":[[2026,7,2]],"date-time":"2026-07-02T10:02:06Z","timestamp":1782986526000},"source":"Crossref","is-referenced-by-count":0,"title":["Event-Driven Clinical Decision Support: Securing Medical Logic Through Structural Fault Isolation"],"prefix":"10.3233","author":[{"ORCID":"https:\/\/orcid.org\/0009-0006-7867-9465","authenticated-orcid":false,"given":"Moritz","family":"Grob","sequence":"first","affiliation":[{"name":"Medical University of Vienna, Center for Medical Data Science, Institute of Artificial Intelligence, Spitalgasse 23, 1090 Vienna, Austria"},{"name":"Medexter Healthcare, Borschkegasse 7\/5, 1090 Vienna, Austria"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0006-5902-4666","authenticated-orcid":false,"given":"Leonhard","family":"Hauptfeld","sequence":"additional","affiliation":[{"name":"Medexter Healthcare, Borschkegasse 7\/5, 1090 Vienna, Austria"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0004-5416-6417","authenticated-orcid":false,"given":"Julia","family":"Liepold","sequence":"additional","affiliation":[{"name":"Medexter Healthcare, Borschkegasse 7\/5, 1090 Vienna, Austria"},{"name":"TU Wien, Institute for Logic and Computation, 1040 Vienna, Austria"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Julia","family":"Zeckl","sequence":"additional","affiliation":[{"name":"Medexter Healthcare, Borschkegasse 7\/5, 1090 Vienna, Austria"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0001-0345-4011","authenticated-orcid":false,"given":"Andrea","family":"Rappelsberger","sequence":"additional","affiliation":[{"name":"Medical University of Vienna, Center for Medical Data Science, Institute of Artificial Intelligence, Spitalgasse 23, 1090 Vienna, Austria"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0008-5046-1549","authenticated-orcid":false,"given":"Klaus-Peter","family":"Adlassnig","sequence":"additional","affiliation":[{"name":"Medical University of Vienna, Center for Medical Data Science, Institute of Artificial Intelligence, Spitalgasse 23, 1090 Vienna, Austria"},{"name":"Medexter Healthcare, Borschkegasse 7\/5, 1090 Vienna, Austria"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"7437","container-title":["Studies in Health Technology and Informatics","Health Sciences Informatics Leads and Empowers the Digital Health Transformation"],"original-title":[],"link":[{"URL":"https:\/\/ebooks.iospress.nl\/pdf\/doi\/10.3233\/SHTI260887","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,7,2]],"date-time":"2026-07-02T10:02:06Z","timestamp":1782986526000},"score":1,"resource":{"primary":{"URL":"https:\/\/ebooks.iospress.nl\/doi\/10.3233\/SHTI260887"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,6,29]]},"ISBN":["9781643686684"],"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/shti260887","relation":{},"ISSN":["0926-9630","1879-8365"],"issn-type":[{"value":"0926-9630","type":"print"},{"value":"1879-8365","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,6,29]]}}}