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Managing Artificial Intelligence Applications in Healthcare: Promoting Information Processing Among Stakeholders

Title data

Lämmermann, Luis ; Hofmann, Peter ; Urbach, Nils:
Managing Artificial Intelligence Applications in Healthcare: Promoting Information Processing Among Stakeholders.
In: International Journal of Information Management. Vol. 75 (2024) . - 102728.
ISSN 0268-4012

Official URL: Volltext

Project information

Project title:
Project's official title
Project's id
Projektgruppe WI Künstliche Intelligenz
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Abstract in another language

AI applications hold great potential for improving healthcare. However, successfully operating AI is a complex endeavor requiring organizations to establish adequate management approaches. Managing AI applications requires functioning information exchange between a diverse set of stakeholders. Lacking information processing among stakeholders increases task uncertainty, hampering the operation of AI applications. Existing research lacks an understanding of holistic AI management approaches. To shed light on AI management in healthcare, we conducted a multi-perspective literature analysis followed by an interview study. Based on the organizational information processing theory, this paper investigates AI management in healthcare from an organizational perspective. As a result, we develop the AI application management model (AIAMA) that illustrates the managerial factors of AI management in healthcare and its interrelations. Furthermore, we provide managerial practices that improve information processing among stakeholders. We contribute to the academic discourse by providing a conceptual framework that increases the theoretical understanding of AI's management factors and understanding of management interrelations. Moreover, we contribute to practice by providing management practices that promote information processing and decrease task uncertainty when managing AI applications in healthcare.

Further data

Item Type: Article in a journal
Refereed: Yes
Keywords: Artificial intelligence; Healthcare; Managing AI; Management model; Information processing
Institutions of the University: Faculties > Faculty of Law, Business and Economics > Department of Business Administration
Research Institutions
Research Institutions > Affiliated Institutes
Research Institutions > Affiliated Institutes > Branch Business and Information Systems Engineering of Fraunhofer FIT
Research Institutions > Affiliated Institutes > FIM Research Center for Information Management
Result of work at the UBT: Yes
DDC Subjects: 000 Computer Science, information, general works > 004 Computer science
300 Social sciences > 330 Economics
Date Deposited: 19 Dec 2023 07:26
Last Modified: 19 Dec 2023 07:26