By Rachel Biblow, MSW; Josh M. Berlin, JD; Bill Doherty, MBA
Value-based care has largely won the policy debate in American healthcare. Across Medicare, Medicaid, Medicare Advantage, and commercial insurance, payment models increasingly tie reimbursement to quality, outcomes, and total cost of care rather than volume of services. Participation in alternative payment models is no longer experimental or optional for many organizations, as it’s often embedded in contracts, strategy, and financial planning.
Yet the healthcare system remains far from delivering the coordinated, efficient care that value-based reform promised. Costs continue to rise. Clinician burnout remains widespread. Patients often encounter value-based care not as seamless coordination but as fragmented outreach — sporadic care management calls or disconnected quality initiatives layered onto an already complex delivery system.
The central challenge facing healthcare leaders is no longer whether value-based care should exist. That question has largely been settled. The real challenge is whether the healthcare system can execute on it.
Execution requires something policy alone cannot mandate — alignment between payment incentives, clinical workflows, operational infrastructure, and the trust of the clinicians expected to deliver care under these models. Without that alignment, value-based care risks becoming a permanent reform effort — widely adopted in theory but inconsistently realized in practice.
This tension — between policy success and operational strain — was a focal point of discussion at the recent Value-Based Care Strategy Forum in December 2025, where leaders from across the healthcare ecosystem gathered to examine the gap between value-based policy and value-based practice. The conversation reinforced a reality that has become increasingly difficult for the industry to ignore: participation in value-based care has expanded far more quickly than the system’s ability to operationalize it.
When Policy Outruns Capability
Value-based care has crossed a critical threshold. For many organizations, participation is no longer discretionary. It is embedded in contracts, capital planning, and board-level accountability.
This reality reflects the success of policy in driving adoption. But it has also exposed a growing mismatch between incentives and infrastructure. Value-based arrangements now span payer types and populations, yet care delivery systems remain largely designed for fee-for-service medicine. The result is not resistance to reform, but operational strain created by misalignment between what is measured and how care is delivered.
Policy has been highly effective at driving participation. It has been far less effective at shaping execution. Organizations are increasingly evaluated against common benchmarks despite wide variation in readiness, data infrastructure, workforce capacity, and governance maturity. Performance gaps often reflect differences in operational capability rather than differences in commitment to reform.
Implementation Has Become the Central Policy Challenge
As the conversation around value-based care shifts from strategy to execution, implementation has emerged as the defining constraint. Value-based care requires more than contractual change. It requires transformation of operating models. Yet many organizations have attempted to layer value-based requirements onto legacy systems designed for fee-for-service medicine.
The result is greater complexity rather than greater coordination. At the clinical level, trust has emerged as an equally critical factor. Clinicians must believe that value-based programs are designed to support care delivery rather than simply measure it. Without that trust, quality initiatives risk becoming compliance exercises rather than engines of improvement.
The policy gap is becoming increasingly clear. Rewarding outcomes without building the operational infrastructure required to deliver those outcomes shifts risk without strengthening resilience.
The Health System Translation Problem
Federal value-based models often assume that once incentives are aligned, care delivery will follow. Health systems experience a more complicated reality. Population health analytics can now identify risk with increasing precision, but insight alone does not change behavior.Unless those insights are embedded within clinical workflows, they remain disconnected from day-to-day decision-making. In practice, the challenge is translating population-level accountability into frontline clinical action.
Governance structures complicate that translation further. Many health systems still operate with fragmented responsibility across primary care, specialty care, care management, and administrative functions. Value-based contracts presume integrated delivery, yet operational accountability often remains diffuse.
When responsibility is fragmented, performance metrics frequently highlight structural misalignment rather than clinical failure.
Quality Measurement: Both Lever and Fault Line
Quality measurement remains one of the most powerful—and most contentious—tools in value-based care. For organizations operating under risk-based contracts, quality metrics are not abstract indicators. They directly affect revenue, growth, and market credibility.
Even small shifts in performance scores can produce outsized financial consequences, particularly in programs such as Medicare Advantage.
Quality measurement also introduces governance and compliance risk. As measures grow more granular, audit exposure and regulatory scrutiny intensify. Organizations that underestimate the operational discipline required to maintain consistent performance do so at considerable risk. The deeper challenge, however, lies in the precision of intervention. Many quality strategies rely on broad, late-stage outreach that generates administrative burden without improving outcomes. Effective value-based care requires earlier, more targeted engagement aligned with clinical context. Precision matters – both in measurement and in intervention.
Employers Want Results, Not Theory
Self-insured employers bring a perspective shaped less by policy and more by outcomes.
While policymakers often focus on frameworks and models, employers evaluate value-based care through affordability, workforce productivity, and employee well-being.
When premiums continue to rise and absenteeism remains high, abstract discussions about value hold little appeal. Employers are less interested in theoretical alignment and more interested in demonstrable results.
Medicaid Exposes the Limits of Measurement
The challenges of value-based care are even more pronounced in Medicaid and underserved communities. In these environments, the central constraint is often not measurement but infrastructure. Transportation barriers, workforce shortages, unstable housing, fragmented community services, and limited behavioral health resources directly influence utilization, outcomes, and cost. These factors are not peripheral. Instead, they are core determinants of healthcare performance.
Policy frameworks frequently acknowledge social determinants of health, yet funding mechanisms and operational models rarely provide sustained support for community coordination.
Effective accountable care in Medicaid requires collaboration beyond traditional healthcare boundaries. Health systems, community organizations, public health agencies, and social service providers must operate as a coordinated network rather than a loose affiliation.
Without that infrastructure, quality metrics risk penalizing organizations for structural challenges they cannot solve alone. Equity in value-based care cannot be achieved through measurement alone. It requires durable community infrastructure and policy models that recognize and support that reality.
Technology as Adaptive Infrastructure
Throughout these discussions, technology and artificial intelligence surfaced not as disruptors but as adaptive tools responding to policy complexity.
When deployed thoughtfully, AI can reduce administrative burden, translate population health insights into action, and help clinicians operate more effectively within value-based systems.
Technology investments succeed when aligned to clear operational objectives rather than novelty.
AI also shows promise across the care continuum — from population health management to serious illness care — where better coordination and predictive insight can significantly improve both outcomes and cost. But technology alone cannot compensate for unclear governance or misaligned incentives. It can accelerate value-based care, but it cannot fix structural misalignment.
The Next Phase of Value-Based Care
What remains unresolved is not whether value-based care will continue. It will. The real question is whether the healthcare system can align policy, payment, and care delivery tightly enough to make it sustainable. Value-based care has succeeded in changing incentives. The next phase must focus on building the operational capacity required to deliver on those incentives.
That means stronger governance structures, deeper clinical integration, better-aligned payment models, and greater investment in community infrastructure. It also means recognizing that the transformation underway is not simply a change in reimbursement. It is a fundamental redesign of how healthcare organizations operate.
The policy argument for value-based care has largely been won. The future of healthcare reform will depend on whether the industry can execute on it.