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001005412 001__ 1005412 001005412 005__ 20250804154811.0 001005412 0247_ $$2HBZ$$aHT030979475 001005412 0247_ $$2Laufende Nummer$$a44020 001005412 037__ $$aRWTH-2025-01746 001005412 041__ $$aEnglish 001005412 082__ $$a330 001005412 1001_ $$0P:(DE-588)1361612347$$aMeyer, Lea Mareen$$b0$$urwth 001005412 245__ $$aEssays on human-AI collaboration : insights from healthcare$$cvorgelegt von Lea Mareen Meyer$$hprint 001005412 260__ $$aAachen$$c2025 001005412 300__ $$axvi, 182 Seiten : Illustrationen 001005412 3367_ $$02$$2EndNote$$aThesis 001005412 3367_ $$0PUB:(DE-HGF)11$$2PUB:(DE-HGF)$$aDissertation / PhD Thesis$$bphd$$mphd 001005412 3367_ $$2BibTeX$$aPHDTHESIS 001005412 3367_ $$2DRIVER$$adoctoralThesis 001005412 3367_ $$2DataCite$$aOutput Types/Dissertation 001005412 3367_ $$2ORCID$$aDISSERTATION 001005412 502__ $$aDissertation, Rheinisch-Westfälische Technische Hochschule Aachen, 2025$$bDissertation$$cRheinisch-Westfälische Technische Hochschule Aachen$$d2025$$gFak08$$o2025-01-31 001005412 5203_ $$lger 001005412 520__ $$aCollaboration between individuals and artificial intelligence (AI) in healthcare has become a central topic in both information system (IS) research and broader societal discussions on leveraging human skills with AI capabilities. As AI applications advance and get more involved in healthcare processes, exploring how individuals (i.e., medical staff such as physicians and nurses) and AI can collaborate most effectively is essential. This collaboration integrates human expertise and contextual understanding with AI’s precision and data processing capabilities. Combining these expertise offers the possibility to improve patient outcomes, relieve medical staff, and increase their decision-making. Despite the growing interest in human-AI collaboration, existing research mainly focuses on theoretical advancements and AI’s potential and neglects practical field tests, deployment, and interaction between individuals and AI. Consequently, AI’s potential is not sufficiently realized, and developed AI applications mismatch with practical needs, resulting in no or fragmented deployment in practice. To overcome this research gap, this thesis adopts an engaged scholarship approach. It is a promising research methodology that focuses on a participative form incorporating practitioners in the research process. Engaged scholarship is instrumental in generating a sustained and in-depth understanding of human-AI collaboration. The thesis comprises three research essays on human-AI collaboration, each offering a different perspective on the collaboration process. To ensure an ongoing knowledge transfer from research to practice and vice versa, all three research essays are informed by one AI research project deeply embedded in clinical practices to develop and implement an AI application in a hospital. In summary, this thesis contributes to existing research on human-AI collaboration by analyzing the collaboration process from multiple perspectives. This research sheds light on the dynamics and the interplay between individuals and AI, offering guidance to ensure AI’s practical relevance and deployment for healthcare practices. In doing so, this thesis provides a nuanced understanding of human-AI collaboration at the intersection between research and practice.$$leng 001005412 591__ $$aGermany 001005412 653_7 $$aAI applications 001005412 653_7 $$aapplied research 001005412 653_7 $$ahealthcare 001005412 653_7 $$ahuman-AI collaboration 001005412 653_7 $$ahybrid collaboration 001005412 7001_ $$0P:(DE-82)IDM02290$$aSalge, Torsten-Oliver$$b1$$eThesis advisor$$urwth 001005412 7001_ $$0P:(DE-82)IDM01911$$aPaluch, Stefanie$$b2$$eThesis advisor$$urwth 001005412 8564_ $$uhttps://digitale-objekte.hbz-nrw.de/storage2/2025/04/05/file_13/9859155.pdf$$yTable of contents 001005412 909CO $$ooai:publications.rwth-aachen.de:1005412$$pVDB 001005412 9141_ $$y2025 001005412 9101_ $$0I:(DE-588b)36225-6$$6P:(DE-588)1361612347$$aRWTH Aachen$$b0$$kRWTH 001005412 9101_ $$0I:(DE-588b)36225-6$$6P:(DE-82)IDM02290$$aRWTH Aachen$$b1$$kRWTH 001005412 9101_ $$0I:(DE-588b)36225-6$$6P:(DE-82)IDM01911$$aRWTH Aachen$$b2$$kRWTH 001005412 9201_ $$0I:(DE-82)816410_20140620$$k816410$$lLehrstuhl für Innovation, Strategie und Organisation$$x0 001005412 961__ $$c2025-03-28T15:45:26.671264$$x2025-02-25T09:34:34.687820$$z2025-03-28T15:45:26.671264 001005412 980__ $$aI:(DE-82)816410_20140620 001005412 980__ $$aUNRESTRICTED 001005412 980__ $$aVDB 001005412 980__ $$aphd