Digital Transformation In Healthcare: Analysing Professional Perceptions Using The Utaut Model

Abstract

Over the past few decades, the world has undergone significant change, profoundly transformed by the emergence of artificial intelligence. This technological revolution has spared no sector, including the healthcare sector, which has also been deeply affected by these upheavals. Doctors, nurses, technicians and even administrative staff can now utilize artificial intelligence in their professional practice, demonstrating its cross-cutting nature and wide range of applications. The aim of this research study is to identify healthcare professionals' perceptions regarding the acceptance of AI use in their professional practice. To this end, we opted for a quantitative study based on a self-administered questionnaire administered to a non-probabilistic sample of 600 healthcare professionals in Morocco. The analysis of the collected data is based on the UTAUT theoretical model. In line with the UTAUT model, the results of this study reveal that healthcare professionals' acceptance of AI use varies according to several factors. Indeed, the adoption and receptiveness to AI vary significantly across professional groups, with a higher level of receptiveness among administrative staff and educators. Furthermore, a majority prefer decision-making autonomy. However, inequality of access remains limited and uneven.

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