As states across the U.S. grapple with the compounding pressures of rising healthcare costs, aging populations, and the administrative complexities of modern welfare delivery, Medicaid programs find themselves under unprecedented scrutiny. With total Medicaid spending projected to climb by 7.9% in fiscal year 2026—a figure underscored by recent analyses from the Kaiser Family Foundation—the imperative to manage resources effectively has never been more urgent.
However, for state agencies and policymakers, the challenge is not merely fiscal; it is operational. As self-directed care programs—which empower participants to manage their own support services—experience rapid growth, the traditional “policing” model of program integrity is proving increasingly inadequate. To survive and thrive in this new budgetary climate, states must pivot from reactive, punitive enforcement to a proactive, integrated framework of sustainability.
The Evolution of Medicaid Oversight: A New Reality
The Shift in Fiscal Landscapes
The current budgetary environment is defined by a delicate balancing act. States are tasked with expanding access to high-quality, person-centered care while simultaneously navigating the harsh realities of limited tax bases and escalating per-member costs. In this context, program integrity—the mechanisms designed to prevent fraud, waste, and abuse—has historically been viewed through the lens of “clawbacks” and audits.
Yet, this post-payment enforcement model is fundamentally reactive. By the time an investigation identifies an issue, the money has often been spent, the administrative cost of recovery has ballooned, and the trust between the state and the participant has been eroded. For modern, scalable Medicaid programs, this traditional model is becoming a bottleneck.
The Rise of Self-Directed Care
Self-directed care represents a cornerstone of modern Medicaid, shifting power from traditional agencies to the individuals who receive care. While this model is highly effective at improving health outcomes and satisfaction, it inherently decentralizes the delivery of services. This decentralization requires a more nuanced approach to oversight—one that acknowledges the complexity of the ecosystem, including fiscal management service (FMS) providers, caregivers, and health plans.
Chronology: From Punitive Audits to Proactive Governance
To understand the current necessity for change, one must look at the historical trajectory of program integrity:
- The Era of Reactive Audits (1990s–2010s): Oversight was characterized by “pay and chase” tactics. States would disburse funds and perform audits months or years later to detect overpayments. This was inefficient, costly, and often punitive for well-meaning participants who simply made clerical errors.
- The Implementation of EVV (2016–2020): With the passing of the 21st Century Cures Act, Electronic Visit Verification (EVV) became a federal mandate. Initially viewed as a burden, it introduced the first wave of digital, real-time data into the Medicaid ecosystem.
- The Modern Integration Era (2021–Present): States are now beginning to move beyond mere EVV compliance. Leading jurisdictions are treating program integrity as an operational workflow, embedding real-time verification and eligibility checks directly into the payment cycle.
Supporting Data: Why Proactive Measures Work
The financial stakes are significant. When program integrity controls are applied at the point of service rather than at the point of audit, the return on investment is twofold: reduced improper payments and lower administrative overhead.
1. The Cost of Inaction
Recent studies suggest that for every dollar spent on post-payment investigations, the administrative cost of the investigation itself—legal fees, personnel time, and appeals—can consume a significant portion of the recovered funds. Conversely, automated controls that prevent an improper payment from ever occurring carry near-zero recovery costs.
2. The Efficiency of Early Detection
Data from pilot programs utilizing real-time EVV analysis shows that when “early warning systems” are used to flag discrepancies—such as overlapping shifts or manual time-entry anomalies—the need for full-scale fraud investigations drops by double digits. By providing education or clarification at the moment a potential error is detected, states can correct behavior without resorting to the destructive cycle of suspension and investigation.
Four Pillars of Modernized Program Integrity
To meet the challenges of 2026 and beyond, state Medicaid programs are moving toward a four-pillar framework designed for scalability and sustainability.
I. Program Integrity as a Team Sport
Integrity is no longer the sole province of a state’s Office of Inspector General (OIG). It is a collective responsibility shared among the state, FMS providers, service coordinators, health plans, and the caregivers themselves. When these stakeholders are aligned through transparent communication, problems are identified and resolved in real-time. This collaborative ecosystem fosters a culture of compliance where the rules are not hidden in a manual, but integrated into the daily experience of caregiving.
II. EVV: The Early Warning System
Electronic Visit Verification is often misunderstood as a surveillance tool. In its most advanced form, it is an analytical engine. By leveraging EVV data, states can identify patterns of risk—such as geographic anomalies or unexplained surges in manual entry—and trigger proactive outreach. This is not about punishment; it is about course correction. When a provider is trained on how to use the system correctly, they are less likely to commit errors in the future, thereby strengthening the system’s overall integrity.
III. Eligibility: The First Line of Defense
Eligibility verification is arguably the most critical—and often overlooked—control. When eligibility status changes but the system is not updated, services continue to be paid out, creating a massive reconciliation burden. States that have adopted “continuous eligibility checks” at the point of enrollment, authorization, and payment have significantly reduced the incidence of “pay and chase” scenarios. By ensuring the participant is eligible before the check is cut, states prevent the chaos of retroactive recoupment.
IV. The "Boring" Factor: Continuous Monitoring
The most effective program integrity models are, by design, boring. When controls are embedded into the operational workflow, problems are prevented before they start. Automated revalidation of eligibility, real-time utilization monitoring, and systematic payment controls ensure that improper payments become the exception rather than the expectation. When the system functions smoothly, there is less need for the high-drama “fire drills” of investigations and clawbacks.
Official Responses and Strategic Implications
As states prepare for the fiscal realities of 2026, the sentiment among policymakers is shifting. While federal guidance continues to emphasize fraud prevention, the focus is increasingly on “administrative efficiency.”
The Need for Scalability
As self-directed care programs grow, the sheer volume of data makes manual oversight impossible. States must invest in systems that can scale. Those that rely on manual, reactive processes will find themselves drowning in the administrative burden of an expanding participant pool. Conversely, those that invest in automated, proactive infrastructure will find they can manage larger programs with lower overhead.
The Human Impact
Perhaps the most important implication of this shift is the impact on the participant. A punitive program integrity model often creates a climate of fear, where participants and caregivers are hesitant to utilize necessary services for fear of accidental non-compliance. A supportive, proactive model—which treats the participant as a partner in integrity—builds trust. When participants feel supported, they are more likely to adhere to guidelines, resulting in better care continuity and more efficient use of state funds.
Conclusion: The Path Forward
The question facing Medicaid programs in the coming years is not whether to modernize, but how quickly they can adopt these proactive principles. The goal is to build a system that is transparent, efficient, and, above all, sustainable.
By recognizing that program integrity is a collaborative, continuous, and data-driven function, states can safeguard taxpayer dollars while ensuring that the promise of self-directed care remains a reality for those who need it most. In the end, the most robust program integrity model is one that operates quietly in the background, allowing the focus to remain where it belongs: on the delivery of high-quality, person-centered care.
Tara Himmel serves as Chief Marketing Officer at PPL, where she leads communications and government relations. With over 20 years of experience in the sector, she has been instrumental in the evolution of self-directed care. This article is part of the MedCity Influencers program.
