For years, program integrity has often been associated with what happens after something goes wrong: an audit identifies an improper payment, an investigation uncovers an unusual pattern, or a compliance review triggers corrective action. That work remains important, but as Medicaid home- and community-based services (HCBS) grow in scale and complexity, program integrity should be moving upstream, and the leading initiatives already are.
The opportunity is to use real-time data, analytics, education, and coordinated oversight to identify and resolve issues before they become larger problems. This shift is particularly important in self-directed care, where participants have greater choice and control over who provides their care and how that care is delivered to support their day-to-day needs. When programs are designed well, strong oversight can help protect the access, independence, and dignity self-direction is intended to provide.
Prevention Starts With an End-to-End View
A modern approach to program integrity follows the full lifecycle of care: eligibility and enrollment, authorization and service delivery, electronic visit verification (EVV) and time tracking, billing and payment, and monitoring and resolution. Looking across that continuum creates more opportunities to identify discrepancies early and address their underlying causes.
Consider a change in a participant’s circumstances, such as a hospitalization. When eligibility, authorization, utilization, and payment information operate separately, that change may not become visible until a retrospective review. By then, an incorrect payment may already have been made, requiring reconciliation, recovery, and administrative follow-up.
With more connected data and processes, the same information can become an earlier signal. The goal is not to assume misconduct, but to understand what happened, determine whether the issue reflects a misunderstanding, a process gap, or inappropriate activity, and respond before the problem grows. That creates a feedback loop that can help prevent similar issues in the future.
Turn Data Into Action
Technology is essential to this shift, but technology alone is not the answer. Real-time information from EVV, eligibility, and authorization systems can surface signals at the transaction level, while analytics can connect individual signals to broader program-wide patterns. The value comes from translating those signals into action through clear processes and human oversight.
PPL’s experience supporting self-directed care programs shows how that feedback loop can work in practice. Real-time operational data can surface potential issues such as overlapping hours, unusual work patterns, or discrepancies between service authorizations and actual service use. In New York, for example, PPL has introduced unique caregiver identifiers to detect duplicate or overlapping hours across consumers and plans, while broader program controls can identify atypical work patterns and prevent billing for care not provided.
Those signals are a starting point, not a conclusion. Human oversight remains essential because not every anomaly indicates fraud. A recurring error might instead reveal insufficient participant education, a training gap, or a process that needs to be redesigned. Effective analytics should help leaders ask not only, “What happened?” but also, “Why did it happen, and how can we prevent it from happening again?”
Make Program Integrity a Shared Responsibility
No single organization has a complete view of a self-directed care program. States establish policy and oversight, managed care organizations (MCOs) contribute care coordination and utilization insight, financial management service (FMS) providers see operational and payment information, and participants and caregivers understand how requirements work in everyday life. Bringing those perspectives together creates a more complete picture of emerging risks.
Education is also part of that infrastructure. Participants and caregivers need to understand requirements such as EVV and time tracking, but effective education connects those requirements to what matters in their daily lives: receiving reliable care, getting caregivers paid accurately and avoiding unnecessary disruptions. When an issue reflects misunderstanding rather than misconduct, education can help correct it while strengthening compliance going forward.
Stronger Integrity Can Protect Choice
The next evolution of program integrity is not simply finding fraud faster; it is building systems capable of preventing avoidable problems in the first place. That means moving beyond isolated audits toward an end-to-end model in which technology surfaces signals, analytics reveal patterns, and education helps correct issues and stakeholders coordinate on what happens next.
When done well, targeted, risk-based oversight can focus attention where it is needed while preserving participant choice. For Medicaid leaders, the larger opportunity is to make program integrity part of everyday operations rather than something activated after a problem occurs. When data, people, and processes work together, programs can intervene earlier, strengthen accountability, and preserve the flexibility that makes sustainable, person-centered care possible.
The editorial staff had no role in this post's creation.