Challenges of AI Adoption in the UAE Healthcare

Fatma Khamis Al Badi, Khawla Ali Alhosani, Fauzia Jabeen, Agata Stachowicz-Stanusch, Nazia Shehzad and Wolfgang Amann

Vision, 2022, vol. 26, issue 2, 193-207

Abstract: The purpose of this study is to prioritize the challenges of adopting Artificial Intelligence (AI) in the healthcare sector of the United Arab Emirates (UAE). An Analytic Hierarchy Process (AHP) method was used, and the data were collected from the managerial-level executives ( n = 27) involved in AI adoption in their respective healthcare organizations. The results prioritized the AI main criteria and sub-criteria based on their priority weights in the healthcare sector. The results also revealed that accuracy, privacy and security criteria are the most important factors to optimize the healthcare sector with AI. The research findings shall help policymakers formulate suitable strategies with current adoption and acceptance of AI in the healthcare sector. The findings will help policymakers utilize this study’s outcomes to create a well-defined picture of AI’s actual adoption and acceptance in the healthcare sector.

Keywords: Artificial Intelligence (AI); Machine Learning; Ethical Barriers; Healthcare; Analytic Hierarchy Process (AHP); United Arab Emirates (UAE) (search for similar items in EconPapers)
Date: 2022
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Persistent link: https://EconPapers.repec.org/RePEc:sae:vision:v:26:y:2022:i:2:p:193-207

DOI: 10.1177/0972262920988398

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