Abstract
This systematic literature review (SLR) explores the factors determining healthcare customers’ intention to adopt artificial intelligence (AI) technologies. Various established theoretical frameworks such as TAM, TAM, UTAUT, BRT, and BHM and their predictors are analysed to comprehend the readiness of healthcare customers to embrace AI-powered technologies in their daily lives. Adhering to PRISMA guidelines, twenty-two studies from diverse databases were meticulously reviewed and synthesised to comprehensively evaluate the determinants influencing the acceptance of AI technologies in healthcare. This study aims to explore the frameworks analysing healthcare customers’ intentions to adopt AI-based medical technologies, identify acceptance factors, assess AI’s impact on outcomes, and highlight future research areas. Healthcare is transformed by AI technologies such as virtual assistants and wearables, which results in diagnostic precision, improved efficiency, personalised care, better patient outcomes, and lower healthcare costs. Additionally, it highlights potential research areas for further exploration to enhance comprehension of AI adoption among healthcare consumers, emphasising the significance of integrating psychological and behavioural perspectives in providing AI interventions that are effective, morally suitable and customised for specific individuals. This comprehensive study highlights the potential of AI to transform healthcare services and patient care and advocate for strategies that foster its successful implementation and acceptance.
Keywords: AI Adoption Factors, Artificial Intelligence in Healthcare, Healthcare Customers, Systematic Literature Review, Technology Acceptance.