Ai's potential in healthcare faces major regulatory and financial hurdles

A new report from the Peterson Health Technology Institute (PHTI) warns that without coordinated action from both government and industry leaders, AI's potential to transform healthcare may remain unrealized. The report, shared first with Axios, highlights that the U.S. healthcare system is incentivized by financial gains, currently favoring service volume and administrative complexity. PHTI executive director Caroline Pearson emphasized that AI could address systemic issues in healthcare but stressed the need for regulatory and payment system reforms. Administrative uses of AI are not regulated and can generate revenue, but clinical applications face significant barriers due to the lack of a clear reimbursement path. Pearson noted that current payment models are not well-suited for AI-assisted services, though some models are better than others. Policymakers are urged to consider regulatory requirements and coverage rules to support AI adoption in healthcare. The report argues that without structural changes, AI's most promising clinical applications may not materialize due to the absence of financial incentives. Pearson called for a call to action, highlighting the need for a rethinking of healthcare regulation and payment systems to fully realize AI's potential in the sector.