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News » Healthcare fixing claims before they’re paid, not after

Healthcare fixing claims before they’re paid, not after

NEVADA, UNITED STATES — Denied claims, rework, and appeals cost the United States healthcare system $400 billion annually — and the industry has largely responded by processing the damage after it happens.

According to a report from Healthcare IT Today, a growing shift toward pre-payment claim validation is changing that model, as health plans and providers move error detection from recovery to prevention.

Reactive claims models cost $400Bn annually

The cost of getting paid correctly has become as significant as the cost of care itself. A June 2026 HealthcareITToday analysis documented how ‘pay-and-chase’ — recovering overpayments after adjudication — has defined the industry standard for decades, leaving both sides absorbing preventable losses.

“Payment integrity is no longer a back-office recovery function — it’s a strategic lever for healthcare cost containment,” according to Codoxo’s payment integrity analysis published in 2026.

Providers spend $257 billion annually managing claim denials and resubmissions; payers absorb an additional $8 to $12 billion each year in provider abrasion costs generated by post-payment disputes.

One-third of all payment integrity resources are consumed by administrative work rather than error detection. The U.S. Department of Health and Human Services reported $16.6 billion in fraud, improper payments, and overpayments in 2025.

Prepay prevention becomes new industry standard

The emerging alternative is called ‘shifting left’ — applying clinical and coding validation earlier in the payment lifecycle, before claims are adjudicated and funds exit the system.

Prior authorization data, clinical review findings, and AI-driven detection converge at claim intake rather than downstream.

“Prevention is the new performance benchmark,” according to HealthEdge’s 2026 Annual Payer Survey — a finding that reframes payment integrity as prospective cost management rather than retrospective recovery.

AI-enabled payment integrity platforms now identify complex patterns traditional rules miss, prioritize high-risk claims before adjudication, and surface root causes — authorization-to-claim misalignments, coding drift, and billing policy gaps — that provider education can fix upstream.

Prevention is now the standard, with health plans testing new edits and policy updates against financial models before enforcement rather than after. The goal: first-pass accuracy that removes the need for recovery.

Healthcare outsourcing sits at the center of this operational shift. Prior authorization processing, clinical documentation review, coding validation, and claims integrity support are all functions that established offshore healthcare teams already perform — and that pre-pay prevention models depend on at scale.

For health plans building upstream payment integrity capacity, the outsourced workforce is not supplemental. It is the infrastructure the shift requires — and already exists.

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