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Hybrid intelligence in hospitals: towards a research agenda for collaboration

Author

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  • Milad Mirbabaie

    (University of Bremen)

  • Stefan Stieglitz

    (University of Duisburg-Essen)

  • Nicholas R. J. Frick

    (University of Duisburg-Essen)

Abstract

Successful collaboration between clinicians is particularly relevant regarding the quality of care process. In this context, the utilization of hybrid intelligence, such as conversational agents (CAs), is a reasonable approach for the coordination of diverse tasks. While there is a great deal of literature involving collaboration, little effort has been made to integrate previous findings and evaluate research when applying CAs in hospitals. By conducting an extended and systematic literature review and semi-structured expert interviews, we identified four major challenges and derived propositions where in-depth research is needed: 1) audience and interdependency; 2) connectivity and embodiment; 3) trust and transparency; and 4) security, privacy, and ethics. The results are helpful for researchers as we discuss directions for future research on CAs for collaboration in a hospital setting enhancing team performance. Practitioners will be able to understand which difficulties must be considered before the actual application of CAs.

Suggested Citation

  • Milad Mirbabaie & Stefan Stieglitz & Nicholas R. J. Frick, 2021. "Hybrid intelligence in hospitals: towards a research agenda for collaboration," Electronic Markets, Springer;IIM University of St. Gallen, vol. 31(2), pages 365-387, June.
    • Handle: RePEc:spr:elmark:v:31:y:2021:i:2:d:10.1007_s12525-021-00457-4
    DOI: 10.1007/s12525-021-00457-4
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    Cited by:

    1. Philipp Ebel & Matthias Söllner & Jan Marco Leimeister & Kevin Crowston & Gert-Jan Vreede, 2021. "Hybrid intelligence in business networks," Electronic Markets, Springer;IIM University of St. Gallen, vol. 31(2), pages 313-318, June.
    2. Lennart Hofeditz & Sünje Clausen & Alexander Rieß & Milad Mirbabaie & Stefan Stieglitz, 2022. "Applying XAI to an AI-based system for candidate management to mitigate bias and discrimination in hiring," Electronic Markets, Springer;IIM University of St. Gallen, vol. 32(4), pages 2207-2233, December.
    3. Stefan Stieglitz & Milad Mirbabaie & Nicholas R. J. Möllmann & Jannik Rzyski, 2022. "Collaborating with Virtual Assistants in Organizations: Analyzing Social Loafing Tendencies and Responsibility Attribution," Information Systems Frontiers, Springer, vol. 24(3), pages 745-770, June.
    4. Milad Mirbabaie & Felix Brünker & Nicholas R. J. Möllmann Frick & Stefan Stieglitz, 2022. "The rise of artificial intelligence – understanding the AI identity threat at the workplace," Electronic Markets, Springer;IIM University of St. Gallen, vol. 32(1), pages 73-99, March.

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