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CMS Audit Risk · Data Analysis

CMS Open Payments Data Corrections Jumped Almost 179x in One Year

A first look at CMS's own Removed and Deleted Records file, and what the correction surge means for your next audit.

Published September 19, 2026 · qordata Compliance Intelligence

Every program year, the Centers for Medicare & Medicaid Services (CMS) publishes a Removed and Deleted Records file alongside the main Open Payments dataset. Across the full 2023 and 2024 files, the number of General Payment records that reporting entities corrected or deleted after publishing them rose from 896 to 160,183, a jump of almost 179x in a single year.

That's not an estimate or a sample. It's CMS's own correction log, covering every General Payment record removed or deleted industry-wide. And it's one of the least-discussed pieces of Sunshine Act disclosure data, even though it may be the single most CMS-native audit-risk signal in the entire dataset.

Key takeaways
  • 896 to 160,183. Removed/deleted General Payment records jumped almost 179x from 2023 to 2024.
  • 1.03%. The 2024 national correction rate, up from 0.0061% in 2023.
  • 99.7% of 2024's removed/deleted records were General Payments, not Research Payments.
  • CMS's own audit criteria name "records that should have been reported but were not" as a factor in issue-based selection. A self-initiated deletion falls in the same category.

What "removed" and "deleted" actually mean

CMS defines the two categories precisely, and the difference matters for how you read the number:

  1. DELETED: a record the reporting entity itself pulled from the system after it was already published.
  2. REMOVED: a record that dropped out of current publication because the entity's own update made it ineligible for that program year.

Both categories describe the same underlying event from a compliance standpoint: a manufacturer published a payment record, then walked it back. Whether the correction was a data-entry fix, a reclassification, or something more serious isn't visible in the aggregate file. What is visible is how often it happened, and how fast that changed.

The jump, in the data

Share of General Payment records removed or deleted after publication
0.00%0.25%0.50%0.75%1.00% 0.0061%20231.0335%2024 Program year Share of records (%)
Source: CMS Open Payments Removed and Deleted Records files, program years 2023 and 2024. No 2025 file exists yet; CMS publishes it after that year's correction cycle runs.
Program yearRemoved/deleted recordsShare of that year's volume
20238960.0061%
2024160,1831.0335%

Put in plain terms: roughly 1 in 16,000 General Payment records was corrected after publication in 2023. In 2024, it was roughly 1 in 97. Almost all of that increase, 99.7% of the 2024 total, was General Payments rather than Research Payments.

Why this matters for your audit risk

CMS's own audit guidance, Open Payments: Audit Best Practices 2026, lays out what draws attention under issue-based selection: inaccuracies in amount, an incorrectly reported recipient, records that should have been reported but weren't, entity size, and the relative rate of disputed payments.

A self-initiated deletion sits inside that same category, arguably a more serious version of it. It's an entity admitting a published figure was wrong enough to pull. A shift this large, across the industry, in a single year, is exactly the kind of pattern CMS's own criteria point at.

Recent enforcement context: In 2026, HHS-OIG and the Department of Justice announced a pharmaceutical manufacturer's agreement to pay over $46 million, including what was described as the largest Sunshine Act civil penalty since the law passed in 2010, to resolve Anti-Kickback Statute and False Claims Act allegations tied in part to misreported spend. The case is a reminder that regulators are actively watching whether reported figures hold up, not just whether a report was filed.

What to check in your own data

You don't need CMS's full dataset to run a version of this check on your own reporting entity:

  1. Pull your own removed/deleted count for the most recent program year from your Open Payments submission history.
  2. Calculate your correction rate as a share of your total published records for that year.
  3. Compare it to the 2024 national benchmark of 1.03%. If your rate is meaningfully above that, it's worth an internal review before it's an external one.
  4. Document why each correction happened. CMS's own guidance recommends keeping an assumptions file for any pattern that might read as a red flag, long before an auditor asks about it.

This is one of three signals qordata found by processing the full three-year Open Payments dataset directly, with no sampling. The other two look at where payment spikes concentrate and how often research and general payment relationships overlap for the same physician.

See all three signals, benchmarked against the national data
The full CMS Audit Risk Report walks through the removed/deleted surge, physician and hospital payment spikes, and research payment overlap, each benchmarked against three years of national Open Payments data, with a checklist for what to review in your own reporting.
Download the CMS Audit Risk Report

Frequently asked questions

What is the CMS Open Payments Removed and Deleted Records file?

It's a file CMS publishes every program year alongside the main Open Payments dataset. It lists every record that was DELETED (pulled from the system by the reporting entity after publication) or REMOVED (dropped from current publication because an update made it ineligible).

How much did CMS Open Payments corrections increase between 2023 and 2024?

Removed and deleted General Payment records rose from 896 in 2023 to 160,183 in 2024, a roughly 179x increase. That moved the correction rate from about 0.0061% of records to 1.0335%.

Does a high removed/deleted rate mean a company did something wrong?

Not by itself. It means a reporting entity corrected data after publishing it. But CMS's own audit criteria list records that should have been reported but weren't as a factor in issue-based selection, and a self-initiated deletion sits in that same category.

How can a compliance team check its own removed/deleted rate?

Compare your reporting entity's correction rate for the most recent program year against the 2024 national benchmark of 1.03%. qordata's CMS Audit Risk Report includes the full methodology and benchmark, and qordata's CARE team can run this check against your own reporting data directly.

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