Payment Integrity: The Shift From Pay-and-Chase to Pre-Pay

That’s the pay-and-chase model, and it’s losing ground. Most health plans running payment integrity programs today recognize its core limitation: it identifies problems after money has already left the plan, and it doesn’t address the conditions that created them. The industry is moving toward a fundamentally different approach, one built on preventing incorrect payments before adjudication rather than recovering them after. Understanding that shift, what drives it, and what it takes operationally is where healthcare payment integrity strategy is headed.

What Payment Integrity Actually Means in Practice

Payment integrity is a broader function than most plans treat it as. It covers every control designed to ensure claims are paid accurately, to the right provider, for covered and medically appropriate services, at the correct rate.

The Full Scope of the Function

That scope includes FWA detection, duplicate payment prevention, coordination of benefits sequencing, medical necessity review, and correct coding validation. In a well-designed program, these controls operate across the full claims lifecycle, not just at the recovery stage. Many plans have conflated payment integrity with post-payment audit work because that’s how the function was historically resourced, but the two aren’t the same thing.

How Most Plans Have Structured It Historically

The traditional model is straightforward: pay the claim, run an audit against it, identify overpayments, attempt recovery. Plans built teams around this workflow because older adjudication infrastructure didn’t support the real-time rule application and AI-driven pattern detection that pre-pay controls require. The model made sense given what was available. It’s the mismatch between that model and what’s now operationally possible that’s driving the shift.

The Real Problem With Pay-and-Chase

Recovery isn’t inherently wrong as a payment integrity tool. The problem is when it’s the primary one, because the economics and the structural mechanics don’t work in the plan’s favor over time.

Recovery Rates Don’t Justify the Program Cost

Post-payment recovery programs routinely collect a fraction of identified overpayments once you account for the full cost of the effort: staff time, vendor fees, provider dispute resolution, and write-offs on claims that aged past the recovery window. The identified amount and the actually recovered amount are rarely close, and that gap widens as claim age increases. For many plans, the cost of running a recovery program approaches or exceeds what it returns, particularly for lower-dollar overpayments where the per-claim economics don’t pencil out.

Recovery Without Remediation Is a Loop

The deeper problem is structural. Pay-and-chase identifies a bad payment after it’s been issued, but it doesn’t fix the rule or condition that allowed the incorrect payment through adjudication. If the billing pattern or code combination that generated the overpayment is still active in your adjudication engine, the same error will appear in next quarter’s audit. Recovery without upstream remediation isn’t a payment integrity program; it’s a recurring cleanup operation.

Compliance Exposure Compounds Over Time

For Medicare Advantage plans, CMS scrutiny around payment accuracy is increasing. Overpayments identified through audit carry compliance implications beyond their dollar value, particularly when the same error pattern repeats across multiple claims periods. Plans that can’t demonstrate proactive CMS compliance controls are in a weaker position during audits than plans that can show pre-pay prevention logic was in place. Repeated patterns, even at low dollar amounts per claim, become a material risk when aggregated across a full book of business.

Pay-and-chase programs identify what’s already gone out the door, but pre-pay payment integrity stops the problem before adjudication completes. VIDAPass™ from Invidasys gives health plans a pre-pay claims scrubbing layer that integrates alongside your existing system and goes live in 30 days.

Schedule a Consultation

What the Shift Left Actually Looks Like

“Shift left” is borrowed from software development, where it describes catching defects earlier in the build process rather than in production. In payment integrity, it means moving controls upstream in the claims lifecycle before payment is issued, rather than after.

Moving Controls to the Pre-Pay Stage

Pre-pay prevention applies payment integrity rules at the point before a claim completes adjudication. A pre-pay claims scrubbing layer intercepts claims as they’re received, validates them against payer-specific rules, checks for duplicate patterns, flags anomalies in billing codes or provider behavior, and either auto-corrects eligible errors or routes flagged claims for review before payment goes out. The claim either passes clean, gets corrected, or gets held for human review. No payment issues until the integrity check is complete.

What Pre-Pay Controls Catch That Post-Pay Recovery Misses

Post-payment audit teams work against the volume they can realistically review given staff capacity, which means a significant share of adjudicated claims never receive meaningful scrutiny. Pre-pay controls apply to every claim in the stream, not a sample. Duplicate billing patterns that technically pass initial adjudication, COB sequencing errors where another payer should be primary, and coding issues that are payable under current rules but don’t hold up to clinical review: these are the types of issues a prepayment review catches systematically that post-pay recovery misses at scale.

The Financial and Operational Case for Prevention

The ROI case for shifting to pre-pay payment integrity in healthcare doesn’t require complex modeling. The fundamental math is straightforward.

What Prevention Saves That Recovery Can’t

When a claim is stopped before payment, there’s no recovery queue to work, no provider dispute to manage, and no write-off risk on an aged receivable. The cost of catching and correcting an error before payment is a fraction of the cost of recovering it after. For health plans with high claims volume, even a modest improvement in pre-pay accuracy across the full claims stream generates measurable financial impact, because the economics apply to every clean claim that avoids the recovery cycle entirely. A tighter claims intake and validation process also reduces the volume of problematic claims that reach adjudication in the first place, compounding the pre-pay effect.

Operational Impact on the Claims Team

Pre-pay controls reduce the manual review burden downstream by catching and auto-correcting eligible errors before human queues see them. Claims teams spend less time on rework and exception management when a pre-pay layer is filtering at the intake and scrubbing stage. The administrative capacity that was absorbed by recovery workflows gets redirected toward higher-complexity review work, which is where human judgment actually adds value.

What to Look for When Evaluating Payment Integrity Solutions

If your current program is centered on recovery, the transition to pre-pay prevention starts with the right infrastructure. Healthcare payment integrity solutions aren’t built the same way, and two capabilities determine whether a solution actually shifts your program model.

Rule Flexibility and AI-Driven Detection

Static rule engines that only check for known error types will miss evolving billing patterns and emerging FWA schemes. Effective payment integrity solutions combine configurable, payer-specific business rules with AI-driven anomaly detection that learns from your own claims history. That combination catches both the known patterns and the ones that haven’t been codified yet. Look for a solution that functions as a true claim scrubber: one that applies intelligence at the claim level, not just a checklist at the EDI gateway. For a closer look at how pre-pay automation affects what reaches your denial queue, the breakdown in how claims processing automation reduces denials covers the downstream impact.

Integration Without Platform Replacement

The most common objection to building a pre-pay prevention layer is implementation complexity. The answer depends entirely on architecture. A modular claims editing software component that integrates alongside your existing adjudication platform can be live in 30 days without migrating claims history or retraining staff on a new core system. That’s a fundamentally different risk profile than a full platform replacement, and it’s the architecture that makes the shift left operationally realistic for plans that can’t absorb a multi-year migration.

Prevention Doesn’t Replace Integrity — It Builds It

Pay-and-chase isn’t going away entirely. Post-payment audit still plays a role in healthcare payment integrity programs, particularly for complex clinical review and fraud investigations that can’t be evaluated pre-pay. But for the high-volume, rule-based, pattern-driven issues that represent the bulk of recoverable overpayments, prevention is more effective, more economical, and more defensible from a compliance standpoint than recovery.

Invidasys’ VIDAPass™ is built as a pre-pay prevention layer: a modular claim scrubber and EDI gateway that applies AI-driven validation before adjudication completes, integrates with your existing core system, and goes live in under 45 days. If your health plan payment integrity program is ready to move upstream, reach out and let’s talk through what that looks like for your plan’s specific claims profile.

The Shift Left in Payment Integrity: Why Health Plans Are Moving From Pay-and-Chase to Pre-Pay Prevention

What Payment Integrity Actually Means in Practice

The Full Scope of the Function

How Most Plans Have Structured It Historically

The Real Problem With Pay-and-Chase

Recovery Rates Don’t Justify the Program Cost

Recovery Without Remediation Is a Loop

Compliance Exposure Compounds Over Time

What the Shift Left Actually Looks Like

Moving Controls to the Pre-Pay Stage

What Pre-Pay Controls Catch That Post-Pay Recovery Misses

The Financial and Operational Case for Prevention

What Prevention Saves That Recovery Can’t

Operational Impact on the Claims Team

What to Look for When Evaluating Payment Integrity Solutions

Rule Flexibility and AI-Driven Detection

Integration Without Platform Replacement

Prevention Doesn’t Replace Integrity — It Builds It

Share This Post

More Like This

How Claims Processing Automation Reduces Denials and Boosts Revenue

The Secret to Faster Claims Processing: A Guide for Healthcare Administrators

Simplify Your Manual Claim Entry With VIDAClaim™

How Real-Time Healthcare Claims Data Saves You Time and Headaches

Optimizing Claim Processing with Cloud-Based Solutions

Our Company

Solutions

Contact