This article underscores the critical role of sustainable reimbursement in scaling the adoption of medical artificial intelligence (AI) in healthcare. It examines the complexities of achieving reimbursement, involving various stakeholders such as patients, providers, payers, regulators, and AI creators, and discusses the alignment of incentives necessary for successful adoption. Reimbursement models like fee-for-service (FFS) and value-based care (VBC) are explored, highlighting their potential benefits and challenges in funding AI services and improving healthcare outcomes.
Scaling Adoption of Medical AI — Reimbursement from Value-Based Care and Fee-for-Service Perspectives