A self-funded hospital system trusted its TPA's self-reported claims accuracy of 100%, year after year. An independent audit of a stratified sample of roughly 200 medical claims told a different story.
Financial accuracy landed near 96.8% and payment accuracy at 96.1%, both below the 98% service level agreement in the contract. The plan had data. Nobody outside the TPA had checked whether the data was true.
What Claims Data Transparency Actually Means
Claims data transparency is access to claims pricing, utilization or payment information, not verification that the information is accurate. Plan sponsors often equate transparency with oversight because both involve data. They are not the same function.
Transparency answers "what did we pay." Oversight answers "should we have paid that." A plan can have full access to its claims feed and still have no process for catching a duplicate payment, an ineligible dependent or a specialty drug billed above the contracted rate.
The Transparency in Coverage rule illustrates the gap well. It produced what has been called one of the largest government-mandated data releases in history, yet researchers found the machine-readable files inconsistent in structure, thin on index information and often too large for a standard computer to process. Access without usability is not transparency in any meaningful sense.
Why the Gap Exists
The gap exists because TPAs report their own performance, and self-reporting carries no independent verification. A TPA's contract may guarantee 99% payment accuracy while the TPA's own internal data shows a 1.4% claims processing error rate, a discrepancy that surfaced in one carrier's administrative services agreements. The guarantee and the reality are not required to match unless someone checks.
TPAs also lack a direct financial incentive tied to plan cost outcomes. Their compensation structure is generally built around processing volume and service fees, not around minimizing the plan's total spend, so error prevention competes with throughput.
Most plans compound the problem by reviewing claims infrequently. Annual audits built into ASO agreements often sample only 300 to 350 claims out of hundreds of thousands processed in a year. A snapshot that small can miss systemic issues entirely.
The Real Cost of Assuming Transparency Equals Oversight
Unverified claims errors compound into six- and seven-figure losses for mid-size self-funded plans. Industry claims audit findings put TPA error rates between 3% and 10% of processed claims, well above the 1% to 3% error rate typically cited as an industry baseline.
Independent claims analysis across a large multi-employer dataset found error detection rates of 5% to 15%, with average recoverable findings between $500 and $1,200 per covered employee per year. For a plan with 1,000 covered employees, that range alone represents $500,000 to $1.2 million in annual exposure.
The consequences are not only financial. In September 2025, Aetna and Optum reached an $8.4 million settlement tied to fabricated billing codes that concealed administrative fees inside medical charges for nearly a decade before litigation forced disclosure. Transparency did not surface that pattern. Litigation did.
What's Actually Happening Behind the Scenes
Benefit Determination Errors
The most common category of claims error involves how a plan's own provisions get applied: deductibles, coinsurance, copays and plan-specific exclusions. These errors are rarely intentional. They happen because claims processing blends automated adjudication with manual review, and manual steps introduce inconsistency.
Dependent Eligibility Drift
Dependents who age out, divorce out or otherwise lose eligibility often stay on a plan for months or years because no one is cross-checking enrollment against life events. Dependent eligibility audits are frequently the fastest-paying workstream in a claims review because the savings start the moment ineligible members are removed.
Duplicate and Miscoded Claims
Duplicate payments, upcoding and unbundling do not show up in a pricing dashboard. They show up when someone compares the billed procedure codes against the medical record or the plan's coding logic, a step that transparency tools are not built to perform.
Why Current Approaches Aren't Enough
Most plan sponsors rely on the transparency and reporting the TPA already provides. That approach leaves the same party that processed the claim responsible for verifying it, which is a conflict most plans would not accept in any other financial function.
How to Fix It
Red Flags That Signal the Problem Applies to Your Plan
The ROI of Doing It Right
Independent claims audits routinely recover a meaningful share of the errors they identify, and the ongoing savings from corrected TPA behavior often exceed the one-time recovery. [internal link: claims audit ROI calculator] Dependent eligibility reviews in particular tend to pay for themselves within months, since removing an ineligible dependent stops future claims immediately rather than only recovering past ones.
Beyond dollars, a documented audit and monitoring process is the clearest evidence a plan sponsor has that it met the prudent expert standard under ERISA Section 404. That documentation matters most in the moment a plan can least afford to be without it: a DOL inquiry or a participant lawsuit. EBSA alone recovered $1.4 billion for plans, participants and beneficiaries in fiscal year 2025, a reminder that enforcement activity in this space is active and ongoing, not theoretical.
Frequently Asked Questions
Is claims data transparency required by law?
Yes. The Transparency in Coverage rule and the Consolidated Appropriations Act, 2021 require pricing disclosures, but neither requires payment accuracy verification.
Does transparency alone satisfy ERISA fiduciary duty?
No. ERISA Section 404 requires a prudent process for monitoring plan expenses, which access to data does not fulfill by itself.
How often should a self-funded plan audit its claims?
Most fiduciary advisors recommend an independent audit at least annually, supplemented by ongoing quarterly or monthly monitoring.
What percentage of claims typically contain errors?
Independent audits commonly find error rates between 3% and 10%, above the 1% to 3% often cited as an industry baseline.
Who is legally responsible for claims accuracy, the plan sponsor or the TPA?
The plan sponsor. ERISA places fiduciary responsibility on the plan sponsor even though the TPA processes the claims.
Can a plan sponsor audit claims without the TPA's permission?
Audit rights depend on the ASO agreement. Sponsors should negotiate unrestricted audit access before signing or renewing a contract.
What is the difference between a claims audit and ongoing monitoring?
An audit reviews a sample retrospectively. Ongoing monitoring reviews claims continuously, closer to the time they are paid.
Are machine-readable pricing files useful for claims oversight?
They provide pricing context but are not designed to verify individual claim accuracy, and many are difficult to process without specialized tools.




