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Partizipative Ans\u00e4tze, die Patient:innen, \u00c4rzt:innen, Pflegefachkr\u00e4fte und weitere Stakeholder:innen aktiv in den Entwicklungsprozess einbeziehen, erm\u00f6glichen es, technologische Innovationen an den tats\u00e4chlichen Bed\u00fcrfnissen auszurichten und sozial gerecht zu gestalten.<\/jats:p>\n          <jats:p>In der Analyse werden Partizipation als aktive Mitgestaltung und Teilhabe als Zugang zu gesellschaftlichen Ressourcen voneinander abgegrenzt. Theoretische Modelle wie die \u201eLadder of Participation\u201c (Arnstein) veranschaulichen die unterschiedlichen Grade der Einbindung. Zudem werden methodische Ans\u00e4tze wie Aktionsforschung, Community-based Participatory Research, Ethics-by-Design und Value-Sensitive-Design diskutiert, die eine fr\u00fchzeitige ethische Reflexion und kontinuierliches Nutzerfeedback f\u00f6rdern.<\/jats:p>\n          <jats:p>Anhand von Praxisbeispielen wie KIPA (KI-gest\u00fctzte Patientenaufkl\u00e4rung), KIDELIR (Delirpr\u00e4vention in der Pflege) und PRIVETDIS (Neurotechnologien und mentale Privatheit) wird gezeigt, dass partizipative Forschung zur Optimierung von Versorgungskonzepten beitragen kann. Neben Chancen wie erh\u00f6hter Akzeptanz und bedarfsgerechter Technologiegestaltung werden Herausforderungen identifiziert, darunter begrenzte Ressourcen, mangelnde Repr\u00e4sentativit\u00e4t und unsichtbare Mehrbelastungen. Abschlie\u00dfend wird betont, dass neben technischen und regulatorischen Ma\u00dfnahmen eine kontinuierliche ethische Reflexion sowie transparente Kommunikation unerl\u00e4sslich sind, um vertrauensw\u00fcrdige und effektive KI-Systeme im Gesundheitswesen zu realisieren.<\/jats:p>","DOI":"10.1007\/s00103-025-04095-5","type":"journal-article","created":{"date-parts":[[2025,6,30]],"date-time":"2025-06-30T11:20:01Z","timestamp":1751282401000},"page":"924-931","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Partizipative Ans\u00e4tze in der Entwicklung von KI-Anwendungen in der Medizin: Chancen und Herausforderungen","Participatory approaches in the development of AI applications in medicine: opportunities and challenges"],"prefix":"10.1007","volume":"68","author":[{"given":"Carolin","family":"Heizmann","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Patricia","family":"Gleim","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Philipp","family":"Kellmeyer","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2025,6,30]]},"reference":[{"key":"4095_CR1","doi-asserted-by":"publisher","first-page":"44","DOI":"10.1038\/s41591-018-0300-7","volume":"25","author":"EJ Topol","year":"2019","unstructured":"Topol\u00a0EJ (2019) High-performance medicine: the convergence of human and artificial intelligence. 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