Title: Application of artificial intelligence in international decision-making processes in the healthcare industry

Authors: Christian Díaz; Michael Neubert

Addresses: UIBS United International Business School, USA Brandschenkestrasse 38, 8002 Zurich, Switzerland ' EIM European Institute of Management, Apt. 5, 66, Old Theatre Street, Valletta VLT 1427, Malta

Abstract: The purpose of this qualitative multiple case study is to explore the use of artificial intelligence (AI) in international decision-making processes in the healthcare industry. The results of the research suggest the following: 1) efficiency improvement, quality enhancement, decision support, big data analysis, cost reduction, behaviour monitoring, and prediction were identified as factors that foster AI use in healthcare's sector decision-making processes; 2) delegability in AI for decision-making processes in the sector responds to two central drivers: difficulty and trust; 3) a preference towards a configuration where humans take the final decision instead of a AI was observed. The limitations are mainly connected to the selected methodology, participants and use cases, so further research is required to support generalisability. The results presented may be helpful in practice to increase the current understanding of the main drivers involved in the AI application for decision-making processes in the healthcare industry.

Keywords: artificial intelligence; AI; decision-making; healthcare; decision augmentation; automation; delegability; decision support.

DOI: 10.1504/IJTCS.2022.130320

International Journal of Teaching and Case Studies, 2022 Vol.13 No.4, pp.341 - 358

Received: 28 Oct 2022
Accepted: 29 Oct 2022
Published online: 17 Apr 2023 *

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