Aetna pays $117.7M to settle FCA case over one-way chart reviews and unsupported obesity codes
Aetna agreed to pay $117.7 million to resolve False Claims Act allegations over two risk-adjustment coding patterns: a chart-review program that added diagnoses but didn't delete the unsupported ones, and morbid obesity codes submitted where the recorded BMI didn't back the diagnosis. Here's what both patterns mean for your desk.
Medically reviewed by Jess P., CPC
Published June 6, 2026

Key Takeaways
- →Aetna agreed to pay $117.7 million in March 2026 to resolve False Claims Act allegations that it submitted or failed to withdraw inaccurate Medicare Advantage diagnosis codes to inflate its risk-adjustment payments.
- →$106.2 million of the settlement resolves allegations that, for payment year 2015, Aetna's chart-review program added diagnosis codes that raised payments but did not delete previously submitted codes the same reviews found unsupported.
- →$11.5 million resolves allegations that, for payment years 2018 to 2023, Aetna submitted or failed to delete morbid obesity diagnosis codes for enrollees whose recorded BMI was inconsistent with that diagnosis.
- →The morbid obesity allegations came from a whistleblower, a former Aetna risk-adjustment coding auditor, who will receive $2,012,500 of the settlement.
- →The settlement resolves civil allegations only, with no determination of liability.
A chart review that adds diagnoses but never deletes the unsupported ones. A morbid obesity code on a chart where the recorded BMI doesn't back it up. Those are the two coding patterns at the center of Aetna's $117.7 million False Claims Act settlement, and both are things a working coder touches.
On March 10, 2026, the U.S. Attorney's Office for the Eastern District of Pennsylvania announced, alongside the Justice Department's Civil Division, that Aetna Inc. agreed to pay $117,700,000 to resolve allegations that it submitted, or failed to withdraw, inaccurate and untruthful diagnosis codes for its Medicare Advantage enrollees to inflate the risk-adjustment payments it received from CMS. The settlement resolves civil allegations only. There's no determination of liability.
How the money splits between two coding patterns
The settlement isn't one allegation. It's two, with a separate dollar figure on each, and that split is the useful part for a coder.
| Allegation | Payment years | Amount |
|---|---|---|
| One-way chart review (added provider-unreported codes, left unsupported ones in) | 2015 | $106.2 million |
| Morbid obesity codes inconsistent with the recorded BMI | 2018-2023 | $11.5 million |
| Total | $117.7 million |
The $106.2 million piece is the older, larger problem. The $11.5 million piece is the one that came from a whistleblower, and it's the one with the cleanest coding lesson.
Pattern one: a chart review that only ran one way
For payment year 2015, the government alleges Aetna ran a chart-review program: it pulled medical records from providers, had coders review them for every condition the charts supported, and submitted additional diagnosis codes that the providers hadn't reported, which raised Aetna's payments from CMS.
That part, on its own, is ordinary retrospective review. The alleged problem was the other direction. Those same chart reviews showed that some diagnosis codes Aetna had already submitted were not supported by the records. Deleting them would have meant repaying CMS. According to the government, Aetna didn't delete or withdraw them. It used the reviews to find money it was owed and ignored the same reviews when they showed money it owed back.
That's the line. A chart review or retrospective review that only ever adds risk is the pattern the government keeps naming. The same review has to run both ways, and the unsupported codes it surfaces have to come out.
Pattern two: morbid obesity codes the BMI didn't support
For payment years 2018 through 2023, the government alleges Aetna submitted, or failed to delete, diagnosis codes for morbid obesity for enrollees whose recorded BMI was inconsistent with that diagnosis, and that those codes increased its CMS payments. Morbid obesity is a risk-adjusting diagnosis, so coding it where the record doesn't support it inflates the risk score the payment is built on.
This is a clinical-validation point, and it's a clean one. A BMI reading in the chart is not, by itself, the diagnosis. Morbid obesity has to be documented by the provider as a diagnosis, and the clinical picture, including the recorded BMI, has to match. When the number on the chart doesn't line up with the diagnosis being coded, that's exactly the kind of mismatch an audit looks for. Run the documentation against the MEAT criteria before the code goes out, not after a payer pulls the chart.
Who brought the case, and what the settlement does not say
The morbid obesity allegations resolve a whistleblower lawsuit filed under the qui tam provisions of the False Claims Act. The whistleblower, a former Aetna risk-adjustment coding auditor, will receive $2,012,500 of the settlement. The case is captioned United States ex rel. Mary Melette Thomas v. Aetna Inc., et al., No. 24-cv-339 (E.D. Pa.).
It's worth being precise about what a civil settlement is. Aetna resolved these allegations without any admission of liability, and there's been no court determination that the conduct occurred. The relevant takeaway for a coder isn't whether Aetna did it. It's that the government has now put a price on two specific coding patterns, and named the documentation gap behind each.
Where this lands for risk-adjustment coders
This is the same enforcement theme behind the Kaiser $556 million settlement and the Matrix and HealthFair settlement we covered earlier: the government targeting risk-adjustment programs that add diagnoses without supporting documentation. Aetna's case sharpens two points a coder can act on directly.
You don't control the chart-review or addendum program your organization runs. You do control whether a single diagnosis in front of you is supported before you submit it, and whether a code you can't support comes out instead of staying in. As the quote from the Justice Department's Civil Division put it, the government "will continue to hold accountable insurers that knowingly submit inaccurate or unsupported diagnoses to improperly inflate reimbursement." The defense is the same thing good coding already is: submit a diagnosis the record supports, and delete the ones it doesn't.
What coders should do now
- 1Run retrospective and chart reviews in both directions. If a review adds a diagnosis that raises risk, it also has to flag the previously submitted codes it can't support so they can be deleted. The allegation against Aetna was using chart reviews only to add payments while leaving unsupported codes in place.
- 2Before submitting a morbid obesity diagnosis, confirm the record supports it: a provider's diagnostic statement plus a clinical picture, including the documented BMI, that matches. A BMI reading on its own is not the diagnosis, and a number that doesn't fit morbid obesity won't survive a chart pull.
- 3Re-check any diagnosis you're carrying from a prior year or a problem list against this year's documentation before it goes out. If the support isn't there in the current record, the code doesn't either. Use the [Evidence Checker](/evidence) to work through the documentation elements first.
- 4When a code can't be supported, make sure it actually comes out rather than getting left in. Failing to delete a previously submitted code that a review showed was unsupported is a specific part of what the government alleged here.
- 5If your chart-review or addendum program only ever adds codes and never removes them, raise it with compliance. A one-directional program is the structural pattern these settlements keep describing.
Frequently Asked Questions
What coding patterns did the Aetna False Claims Act settlement involve?
Two. For payment year 2015, the government alleged Aetna's chart-review program added diagnosis codes that increased its payments but did not delete previously submitted codes the same reviews found unsupported, which would have required repaying CMS. For payment years 2018 to 2023, it alleged Aetna submitted or failed to delete morbid obesity diagnosis codes for enrollees whose recorded BMI was inconsistent with that diagnosis. The first set of allegations accounts for $106.2 million of the settlement and the second for $11.5 million.
Is chart review or retrospective review fraudulent after this settlement?
No. Retrospective and chart review are standard, legitimate practice in risk adjustment, and the settlement resolves civil allegations without any admission of liability. The government's theory was about a review that ran in only one direction: used to add diagnoses that increased payments, but not to delete previously submitted codes the same review showed were unsupported. A review that runs both ways, adding supported diagnoses and removing unsupported ones, is the normal, compliant version.
Why was coding morbid obesity a problem in the Aetna case?
The government alleged Aetna submitted or failed to delete morbid obesity diagnosis codes for enrollees whose recorded BMI was inconsistent with a diagnosis of morbid obesity, and that those codes increased its CMS payments. The lesson for coders is clinical validation: a BMI reading is not the diagnosis on its own, and a morbid obesity code needs documentation, including a clinical picture that matches the recorded BMI, to support it.
Did Aetna admit wrongdoing in the settlement?
No. The settlement resolves civil allegations only, and the claims it resolves are allegations with no determination of liability. Aetna did not admit that the alleged conduct occurred. For coders, the useful part isn't a finding of guilt; it's that the government has named two specific coding patterns, and the documentation gap behind each, as the basis for the recovery.
How much did the whistleblower receive in the Aetna settlement?
The whistleblower, a former Aetna risk-adjustment coding auditor, will receive $2,012,500 of the settlement. The morbid obesity allegations resolve a lawsuit filed under the qui tam provisions of the False Claims Act, captioned United States ex rel. Mary Melette Thomas v. Aetna Inc., et al., No. 24-cv-339 in the Eastern District of Pennsylvania.
Sources
- Aetna Agrees to Pay $117.7 Million to Resolve False Claims Act Allegations — U.S. Department of Justice, Mar 11, 2026
- Aetna Agrees to Pay $117.7 Million to Resolve Allegations that it Violated the False Claims Act by Submitting or Failing to Correct Inaccurate Diagnoses for Medicare Advantage Enrollees — U.S. Attorney's Office, Eastern District of Pennsylvania, Mar 10, 2026
Related Tools
MEAT Criteria Guide
Check what counts as a condition being Monitored, Evaluated, Assessed, or Treated before you call a diagnosis supported.
Evidence Checker
Walk through the documentation elements for a specific diagnosis and find where the record is thin before it goes to submission.
ICD-10 Encoder
Look up specificity and HCC mapping so the codes you submit match what the documentation actually supports.
Jess P., CPC
Certified Professional Coder
Jess reviews HCC Buddy editorial content for accuracy against the current CMS-HCC model and the active FY ICD-10-CM tabular release.
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