Evaluating AI adoption challenges in healthcare using a Multi-Criteria Decision-Making approach: implications for predictive risk analytics
Neha Gupta
IntroductionArtificial intelligence (AI) adoption in predictive healthcare risk analytics can transform clinical decision-making and resource management; however, its implementation is limited by various socio-technical challenges.MethodsThis study aims to identify and prioritize the key barriers influencing AI adoption using an integrated Decision-Making Trial and Evaluation Laboratory (DEMATEL) and Analytic Hierarchy Process (AHP) model. Based on a thorough literature review and expert validat