Medicare’s new specialty model shifts payment risk onto individual physicians
CMS has drawn a much sharper line around specialty reimbursement. Under the Ambulatory Specialty Model, specialists caring for patients with heart failure or low back pain will be measured physician by physician, not sheltered inside a group average, and the financial consequences will follow the individual result.
The scale of the change is easy to miss until the mechanics are laid out plainly. CMS released a preliminary list of 6,637 physicians in February, using 2025 claims data, and the final participant list is expected soon. Beginning Jan. 1, 2027, participating specialists in roughly a quarter of the country’s metropolitan areas will be scored on quality, cost, improvement activities, and interoperability. Cost accounts for half of the score, which means the way care is ordered, coordinated, and delivered can carry the same weight as much of the clinical performance signal.
This is not a hospital-level exercise hidden inside a broad organizational average. The model tracks performance at the individual TIN/NPI level, and the payment adjustment later reaches every Medicare Part B service the physician bills, not just the target condition. A weak result in a heart failure or low back pain episode can echo far beyond the episode itself.
Episode cost will reflect decisions made long before the specialist visit
The design of ASM creates a difficult truth for specialists: they will be held accountable for an episode they only partially shape. A cardiologist may inherit a heart failure patient after a primary care referral, an emergency department admission, an imaging workup, a skilled nursing placement, or a discharge plan that was assembled elsewhere. By the time the patient lands in the clinic, many cost drivers are already locked in.
A single sentence captures the tension: the physician is measured on the whole episode, but does not author the whole episode.
That is where this model becomes more than a reimbursement tweak. Heart failure and low back pain are both conditions in which utilization patterns can surge quickly when access is delayed, follow-up is fragmented, or care transitions are weak. In heart failure, recurrent hospitalization, specialty referral timing, and post-acute placement can dominate episode spending. In low back pain, imaging use, procedural selection, referral sequencing, and care coordination can shift costs sharply even when the clinical presentation appears routine. ASM bundles those decisions into one score and then compares physicians against one another across a cohort whose benchmark is only defined after everyone has performed.
Patient complexity will shape the score as much as the treatment plan
Performance-based payment assumes a level playing field, but specialty practice rarely starts from one. Two physicians may practice high-quality medicine and still land in very different places once episode costs are calculated. One may serve patients with reliable transportation, stable housing, access to food, and the ability to attend follow-up appointments. Another may care for patients who struggle to get to visits, cannot easily follow a low-sodium diet, or face financial barriers that make medication adherence unreliable.
Those differences are not peripheral. They affect whether a care plan succeeds, how often a patient lands back in the hospital, and whether a specialist’s intervention can truly bend the cost curve. When payment models compress all of that variation into an individual score, they risk treating social circumstance as though it were a marker of physician performance. Health systems will need a much more precise view of panel complexity, access barriers, and referral patterns if they want to interpret scores fairly.
No group average will soften the blow
The move from group reporting to individual scoring changes the stakes in a way many organizations have not yet absorbed. Under group-based reporting, a physician with high utilization could be buffered by colleagues whose scores pulled the average upward. ASM removes that protection. A cardiologist with reasonable-looking activity inside an organizational dashboard can still generate a more expensive episode than peers if the patient population is sicker, less stable, or arriving later in the disease course.
The model also carries a built-in lag that will frustrate physicians and administrators alike. Physicians perform and report in 2027. CMS calculates the benchmark in 2028. Payment adjustments arrive in 2029, ranging from -9% to +9% and eventually widening to plus or minus 12%. That means the financial penalty or reward lands years after the behavior that created it. By then, the workflows, referrals, and staffing decisions that influenced the score may already have changed.
Health systems will need visibility before CMS sends the bill
Many organizations still manage physician performance as a collective enterprise, but ASM is built on individual accountability. Health systems that employ specialists in affected metropolitan areas will need to know whether the physicians on the preliminary list even realize they are in the model. They will need to identify who is being compared against whom, what the individual panel looks like, how access delays may be influencing the score, and where referral patterns are driving up episode costs.
A practical response requires more than a finance report. Leaders will need to connect clinical outcomes to utilization, cost, panel composition, appointment availability, imaging use, discharge coordination, and the social factors that influence whether patients can follow the plan. Without that context, the payment adjustment can become a blunt surprise rather than a usable performance signal.
The risk is not abstract. A physician can be graded in 2029 on a 2027 operating environment that may already be gone. If the health system cannot explain why a score moved, it will also struggle to change it.
The first specialty model could reshape how Medicare judges chronic care
ASM begins with heart failure and low back pain, but its reach may extend beyond those diagnoses if CMS decides the framework can deliver the savings it expects. If the model works as intended, it could become a template for other high-cost chronic conditions and push specialty medicine further toward individualized accountability.
For now, the immediate clinical and operational question is whether physicians and their organizations can see performance in real time instead of after the fact. That means identifying whether panels are balanced by capacity and complexity, whether access problems are distorting outcomes, and whether workflows support the results CMS will later score. Health systems that wait for the final adjustment will be reacting too late. Those that build visibility now will have a chance to intervene while the episode is still unfolding, not after the benchmark has already been set.