AI in Healthcare: Analyzing Adoption Drivers Using Fuzzy AHP

The purpose of the present study is to comprehend the significance of artificial intelligence adoption in healthcare services and identify the drivers that are critical in investigating healthcare professionalsƒ?(tm) intention to adopt artificial intelligence in healthcare services. A comprehensive review of the literature and expert opinion was carried out to identify the critical drivers to the adoption of artificial intelligence in healthcare services. A total of five critical drivers for adopting artificial intelligence relevant in the context of healthcare services have been proposed. The proposed critical drivers were prioritized using a multi-criterion decision-making (MCDM) technique known as the fuzzy Analytic Hierarchy Process (Fuzzy AHP). This study is among the pioneering studies in exploring and prioritizing the critical drivers influencing artificial intelligence adoption in healthcare services. The findings of the present study will be fruitful for both the industry and academics. It will apprise artificial intelligence-based healthcare services providers about the critical drivers that need to be prioritized to boost user adoption.