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Die datengetriebene Unterstützung der klinischen Entscheidungsfindung und des Patientenmonitoring erfordert eine vertrauenswürdige Analyse von Daten im Gesundheitswesen. Im Forschungskolleg Data2Health werden in sechs Promotionsprojekten neue Ansätze zur Übertragung, Bereitstellung und prädiktiven Analyse von Daten erforscht. Dies umfasst vertrauenswürdige Edge-Cloud-Methoden, Drahtlossysteme und vertrauenswürdige KI-Methoden sowie konkrete KI-Anwendungen in der Präzisionsmedizin (Vorhersage schwerer Schäden in Krankenhäusern und Früherkennung von Dekubitus) zur klinischen Entscheidungsunterstützung. Diese sich untereinander ergänzenden IT-Ansätze werden in einem ganzheitlichen Ansatz mit Fragen zu Datensozialität und Data Governance verknüpft, um auch Voraussetzungen für die Akzeptanz und Vertrauenswürdigkeit von datengetriebenen Diensten im Gesundheitswesen besser zu verstehen.