AI ADOPTION IN HEALTHCARE: TRUST AND PRIVACY CONCERNS

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Abstract

This study aims to provide an empirical investigation of different factors that could affect AI adoption in healthcare. Since prior research has overlooked AI adoption in healthcare, especially in the Arab context, this research in progress can fill this untapped gap and develop a theoretical framework to evaluate the customer-concerned factors (i.e., trust and privacy concerns) across different healthcare services. Due to its good generalizability, a theory of planned behavior can fit well to the healthcare context and hence can provide an adequate theoretical lens to understand the phenomenon of AI adoption. This study can expand our knowledge of AI and highlight the importance of its role to reinforce the provided healthcare services as well as meet the pressing patients' needs for better quality.

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Albashrawi, M. (2022). AI ADOPTION IN HEALTHCARE: TRUST AND PRIVACY CONCERNS. In International Conference on Applied Computing 2022 and WWW/Internet 2022 (pp. 269–272). IADIS. https://doi.org/10.33965/ac_icwi2022_202208r038

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