CMMI’s ACCESS Model Shows How Medicare Is Trying to Make AI Work in Payment Reform
Fierce Healthcare’s deeper look at CMMI’s tech-enabled ACCESS Model points to a more consequential use of AI in healthcare: using digital infrastructure to redesign how care is paid for and delivered. The model is less about automation for its own sake than about changing incentives.
CMMI’s tech-enabled ACCESS Model, examined by Fierce Healthcare, is significant because it places AI and digital tools inside the machinery of payment reform. That matters: healthcare technology often gets judged on clinical novelty, but the real systemwide impact usually comes when technology changes incentives, documentation, and care coordination at scale.
Models like this are important because they test whether AI can support public-sector goals without becoming another administrative burden. If digital tools can help identify high-risk patients, coordinate services, and reduce fragmentation, they may strengthen both access and efficiency. But if they merely add new layers of complexity, they will repeat the familiar mistakes of previous health IT programs.
The ACCESS Model also underscores a larger shift in healthcare policy: AI is no longer just a vendor category, it is becoming part of health system infrastructure. Once a model is tied to reimbursement design, the expectations change. Evidence, governance, and auditability become as important as performance metrics.
That makes this a bellwether for how government may use AI in the future. The question is not only whether AI can improve care, but whether public programs can build rules that encourage adoption while still protecting patients and taxpayers. If ACCESS succeeds, it could become a template for AI-enabled delivery reform rather than a one-off experiment.