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Open Payments accuracy

What inaccurate Open Payments data really costs a manufacturer

Beyond penalties, inaccurate records carry remediation labor, KOL relationship friction, and audit exposure. A conservative model puts the annual carrying cost of a large manufacturer near $798,000, on assumptions this page states in full.

The penalty schedule is the visible cost of inaccurate Open Payments data. It is not the whole cost. Errors carry a quieter, constant carrying cost across four layers, and for a large reporter it adds up to real money every year.

The four layers

Civil monetary penalties

Per-record exposure that compounds toward the statutory annual caps as errors accumulate.

False Claims Act and CIA exposure

The probability-weighted cost of the large, treble-damages cases Open Payments data helps build.

Remediation labor

Roughly $750 to $1,500 in loaded labor for every correction, on top of $2 to $5 million a year running the compliance program.

KOL relationship friction

An inaccurate entry can trigger a physician's hospital conflict-of-interest audit and cost a future engagement, which erases relationship value.

A worked estimate

Take a large manufacturer with 500,000 reported records a year and a conservative 1% error rate. That is 5,000 inaccurate records. Running those through the four layers puts the annual carrying cost near $798,000.

~$798K

Carried per year on those assumptions. Illustrative model of a large manufacturer, not a measurement of one. Your own number depends on your footprint.

Where verification acts on that number

Penalties attach at submission. A record corrected before it is filed cannot carry one, and it cannot start the dispute it would otherwise have caused, so the two largest layers above only apply to errors that survive to publication. That is the mechanism, and it is a fact about how the reporting system works rather than a result we are claiming.

How much of the $798,000 a verification step actually removes depends on how many of your errors it catches before the deadline, which depends on your data and your calendar. We are not going to put a percentage on that here. We would rather run it against your own public footprint in a walkthrough and let you see the arithmetic.

How the estimate works

The 500,000 records is an assumption chosen to describe a large filer, not a figure from any company. The exact public figure from CMS is the total: 16,131,856 general payments published for program year 2025, across all reporting entities. The error rate and the per-layer coefficients are conservative, disclosed assumptions, not claims about any specific company. The point is not the precise dollar, it is the shape: the carrying cost scales with how many records you file and how many of them are wrong.

Penalty figures are public statutory maximums; cost ranges are illustrative estimates from published compliance research. This is general information, not legal, tax, or compliance advice, and describes the reporting system generally, not any specific organization.

Figures verified 2026-08-24. Source: Illustrative model on disclosed assumptions, plus published compliance research.

See it on your own data

In a walkthrough we pull your public CMS footprint and show what it carries, and where in your calendar an error can still be corrected before it is filed.

Request a walkthrough

A physician who wants to check their own record can start here, free.