Artificial intelligence in healthcare – Attitudes towards AI among Hungarian healthcare professionals

Introduction Artificial intelligence (AI) can potentially enhance healthcare professionals’ understanding of certain disorders, facilitating improved diagnosis, treatment, and prevention. Exploring potential psychological factors that can possibly influence healthcare professionals’ attitudes towards AI in their work is crucial to assist successful adoption and utilization of these technologies. Objectives The possible role of burnout, perceived distress, and factors related to work circumstances on willingness to use AI were explored in this investigation. Methods Attitudes towards artificial intelligence, perceived distress and factors related to work were assessed by using an online questionnaire. Participants (86 % women, M age = 46.9 years, SD = 11.3) were healthcare professionals recruited from Hungarian hospitals and healthcare institutions. Results Linear regression analysis indicated that most participants (58%) were open to using AI in their work. Significant predictors of use were job satisfaction, work performance, and administrative workload. Higher burnout levels and perceived distress were not associated with attitudes towards AI. Conclusions The present findings suggested that work-related environmental factors may have a greater predictive power in explaining the propensity to use AI in healthcare than individual psychological factors. However, the explanatory power of these factors in AI use was modest (7.5%), suggesting that future research should investigate further possible predictors of attitudes towards AI such as social factors. Disclosure of Interest None Declared