Challenges of AI Adoption in the UAE Healthcare
| Autor: | Khawla Ali Alhosani, Fatma Khamis Al Badi, Fauzia Jabeen, Agata Stachowicz-Stanusch, Wolfgang Amann, Nazia Shehzad |
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| Rok vydání: | 2021 |
| Předmět: |
Knowledge management
Computer science business.industry Strategy and Management 05 social sciences Analytic hierarchy process GeneralLiterature_MISCELLANEOUS 03 medical and health sciences 0302 clinical medicine 0502 economics and business Health care 030212 general & internal medicine Business and International Management business 050203 business & management |
| Zdroj: | Vision: The Journal of Business Perspective. 26:193-207 |
| ISSN: | 2249-5304 0972-2629 |
| DOI: | 10.1177/0972262920988398 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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