IDEAS home Printed from https://ideas.repec.org/a/sae/vision/v26y2022i2p193-207.html
   My bibliography  Save this article

Challenges of AI Adoption in the UAE Healthcare

Author

Listed:
  • Fatma Khamis Al Badi
  • Khawla Ali Alhosani
  • Fauzia Jabeen
  • Agata Stachowicz-Stanusch
  • Nazia Shehzad
  • Wolfgang AMANN

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.

Suggested Citation

  • Fatma Khamis Al Badi & Khawla Ali Alhosani & Fauzia Jabeen & Agata Stachowicz-Stanusch & Nazia Shehzad & Wolfgang AMANN, 2022. "Challenges of AI Adoption in the UAE Healthcare," Vision, , vol. 26(2), pages 193-207, June.
    • Handle: RePEc:sae:vision:v:26:y:2022:i:2:p:193-207
    DOI: 10.1177/0972262920988398
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/0972262920988398
    Download Restriction: no
    File URL: https://libkey.io/10.1177/0972262920988398?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Muna Al Suwaidi & Fauzia Jabeen & Agata Stachowicz-Stanusch & Matthew Webb, 2020. "Determinants Linked to Executive Succession Planning in Public Sector Organizations," Vision, , vol. 24(3), pages 284-299, September.
    2. Young-Joo Lee & Ji-Young Park, 2018. "Identification of future signal based on the quantitative and qualitative text mining: a case study on ethical issues in artificial intelligence," Quality & Quantity: International Journal of Methodology, Springer, vol. 52(2), pages 653-667, March.
    3. Saaty, Thomas L., 1990. "How to make a decision: The analytic hierarchy process," European Journal of Operational Research, Elsevier, vol. 48(1), pages 9-26, September.
    4. David Thesmar & David Sraer & Lisa Pinheiro & Nick Dadson & Razvan Veliche & Paul Greenberg, 2019. "Combining the Power of Artificial Intelligence with the Richness of Healthcare Claims Data: Opportunities and Challenges," PharmacoEconomics, Springer, vol. 37(6), pages 745-752, June.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Flavio Martins & Maria Fatima Almeida & Rodrigo Calili & Agatha Oliveira, 2020. "Design Thinking Applied to Smart Home Projects: A User-Centric and Sustainable Perspective," Sustainability, MDPI, vol. 12(23), pages 1-27, December.
    2. Pathiraja, Erandathie & Griffith, Garry & Farquharson, Robert & Faggia, Rob, 2019. "The Cost of Climate Change to Agricultural Industries: Coconuts in Sri Lanka," International Journal on Food System Dynamics, International Center for Management, Communication, and Research, vol. 10(05), December.
    3. V. Srinivasan & G. Shainesh & Anand K. Sharma, 2015. "An approach to prioritize customer-based, cost-effective service enhancements," The Service Industries Journal, Taylor & Francis Journals, vol. 35(14), pages 747-762, October.
    4. Patricija Bajec & Danijela Tuljak-Suban, 2019. "An Integrated Analytic Hierarchy Process—Slack Based Measure-Data Envelopment Analysis Model for Evaluating the Efficiency of Logistics Service Providers Considering Undesirable Performance Criteria," Sustainability, MDPI, vol. 11(8), pages 1-18, April.
    5. Xinxin Liu & Xiaosheng Wang & Haiying Guo & Xiaojie An, 2021. "Benefit Allocation in Shared Water-Saving Management Contract Projects Based on Modified Expected Shapley Value," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 35(1), pages 39-62, January.
    6. Sushil, 2019. "Efficient interpretive ranking process incorporating implicit and transitive dominance relationships," Annals of Operations Research, Springer, vol. 283(1), pages 1489-1516, December.
    7. Moumita Palchaudhuri & Sujata Biswas, 2016. "Application of AHP with GIS in drought risk assessment for Puruliya district, India," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 84(3), pages 1905-1920, December.
    8. Tommaso Ortalli & Andrea Di Martino & Michela Longo & Dario Zaninelli, 2024. "Make-or-Buy Policy Decision in Maintenance Planning for Mobility: A Multi-Criteria Approach," Logistics, MDPI, vol. 8(2), pages 1-18, May.
    9. D. K. Choudhury, 2019. "Standard Critical Path and Selection of Most Economic and Quality Contractors for Construction of Thermal Power Plant: A Case Study in NTPC," Metamorphosis: A Journal of Management Research, , vol. 18(2), pages 103-118, December.
    10. Choudhary, Devendra & Shankar, Ravi, 2012. "An STEEP-fuzzy AHP-TOPSIS framework for evaluation and selection of thermal power plant location: A case study from India," Energy, Elsevier, vol. 42(1), pages 510-521.
    11. Madjid Tavana & Mariya Sodenkamp & Leena Suhl, 2010. "A soft multi-criteria decision analysis model with application to the European Union enlargement," Annals of Operations Research, Springer, vol. 181(1), pages 393-421, December.
    12. Levary, Reuven R. & Wan, Ke, 1999. "An analytic hierarchy process based simulation model for entry mode decision regarding foreign direct investment," Omega, Elsevier, vol. 27(6), pages 661-677, December.
    13. Lilian. O. Iheukwumere-Esotu & Akilu Yunusa-Kaltungo, 2021. "Knowledge Criticality Assessment and Codification Framework for Major Maintenance Activities: A Case Study of Cement Rotary Kiln Plant," Sustainability, MDPI, vol. 13(9), pages 1-21, April.
    14. Alpana Agarwal & Divina Raghav, 2023. "Analysing Determinants of Employee Performance Based on Reverse Mentoring and Employer Branding Using Analytic Hierarchical Process," Management and Labour Studies, XLRI Jamshedpur, School of Business Management & Human Resources, vol. 48(3), pages 343-358, August.
    15. María Pilar de la Cruz López & Juan José Cartelle Barros & Alfredo del Caño Gochi & Manuel Lara Coira, 2021. "New Approach for Managing Sustainability in Projects," Sustainability, MDPI, vol. 13(13), pages 1-27, June.
    16. Sadiq Ullah & Mudassar Iqbal & Muhammad Waseem & Adnan Abbas & Muhammad Masood & Ghulam Nabi & Muhammad Atiq Ur Rehman Tariq & Muhammad Sadam, 2024. "Potential Sites for Rainwater Harvesting Focusing on the Sustainable Development Goals Using Remote Sensing and Geographical Information System," Sustainability, MDPI, vol. 16(21), pages 1-23, October.
    17. Sward, Jeffrey A. & Nilson, Roberta S. & Katkar, Venktesh V. & Stedman, Richard C. & Kay, David L. & Ifft, Jennifer E. & Zhang, K. Max, 2021. "Integrating social considerations in multicriteria decision analysis for utility-scale solar photovoltaic siting," Applied Energy, Elsevier, vol. 288(C).
    18. Mou, W.M. & Wong, W.-K. & McAleer, M.J., 2018. "Financial Credit Risk and Core Enterprise Supply Chains," Econometric Institute Research Papers EI2018-27, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    19. Marco Rogna, 2019. "A First-Phase Screening Device for Site Selection of Large-Scale Solar Plants with an Application to Italy," BEMPS - Bozen Economics & Management Paper Series BEMPS57, Faculty of Economics and Management at the Free University of Bozen.
    20. Villacreses, Geovanna & Gaona, Gabriel & Martínez-Gómez, Javier & Jijón, Diego Juan, 2017. "Wind farms suitability location using geographical information system (GIS), based on multi-criteria decision making (MCDM) methods: The case of continental Ecuador," Renewable Energy, Elsevier, vol. 109(C), pages 275-286.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:sae:vision:v:26:y:2022:i:2:p:193-207. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: SAGE Publications (email available below). General contact details of provider: .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.