PCOOB Weekly  · 

CMS Found a $462 Million Hole. It Chose Not to Close It.

A new OIG audit found that every sampled acute stroke diagnosis code submitted by Medicare Advantage organizations failed validation. CMS’s non-answer on fixing its own payment system turns a federal design gap into a standing compliance obligation for every MA plan.

Sample Failure Rate
100%
97 of 97 enrollees sampled
Estimated Overpayment
$462M
2021 payment year, single diagnosis category
Self-Audit Window
60d
Overpayment identification-to-return clock, 42 CFR 422.326
CMS Commitment
None
No concurrence or nonconcurrence on record
01
The Industry-Wide Pattern

An Audit That Tested a Pattern, Not a Plan, and Found It Fails Completely

The HHS Office of Inspector General audited acute stroke diagnosis codes submitted by Medicare Advantage organizations across the industry, drawn from enrollees whose plans submitted acute stroke codes to CMS on physician data records. Of 97 sampled enrollees, every single one had a diagnosis code unsupported by the medical records tied to it. Not most. Not a concerning majority. All of them.

The specific pattern OIG tested is precise: an acute stroke diagnosis appearing on a physician encounter record, used to calculate risk-adjusted payment, with no corresponding inpatient or outpatient hospital record confirming that diagnosis in the same service year. Stroke care essentially never happens exclusively in a physician’s office. When that combination shows up without a hospital claim attached, the code should not have generated a payment in the first place.

Prior OIG audits had already flagged this exact pattern as high-risk within specific plans. This audit is the first to test it as an industry-wide condition rather than a single-organization failure, and the industry-wide result was unanimous failure. OIG estimated $462 million in potential net overpayments to MA organizations for 2021 alone, based on this pattern.

Key Finding
“OIG did not name a plan behaving badly. It tested a diagnosis pattern across the industry, and the industry-wide result was unanimous failure.”
PCOOB Weekly analysis of OIG Report A-02-23-01020, issued May 28, 2026
Sample Failure Rate — OIG Report A-02-23-01020
100%
No Hospital Record Physician Data Only $462M Estimated Impact CMS: No Commitment

All 97 of 97 sampled enrollees’ acute stroke diagnosis codes were unsupported by the medical records associated with them.
Source: HHS-OIG, Report A-02-23-01020

UNRESOLVED
What CMS Was Asked to Fix, and What It Said
OIG Recommendation
1
Build a system edit to prevent payment when an acute stroke code lacks a corresponding hospital record in the same service year.
Potential Savings
$462M
OIG’s estimate of what a working pre-payment edit could have prevented in 2021 alone.
CMS Response
Did not specify concurrence or nonconcurrence with the recommendation.

CMS’s refusal to concur or nonconcur is a meaningful choice, not a procedural footnote. Concurrence would commit CMS to building the system edit. Nonconcurrence would at least tell plans where CMS stands and why. Silence does neither.

It leaves the payment architecture exactly as it is today: a system that will keep paying MA organizations for acute stroke codes with no facility confirmation, indefinitely, until CMS decides otherwise or catches the pattern later through a Risk Adjustment Data Validation audit.

Health plans should not read that silence as a pass. They should read it as CMS declining to own a fix it has now been told, on the record, that it needs. The absence of a federal edit check is, functionally, a decision that pushes the full responsibility for catching this pattern onto the organizations submitting the codes.

That reframing matters more than the dollar figure. It changes this report from a piece of news into a standing instruction: build the check yourself, because the government has told you, in writing, that it will not commit to building it centrally.

For a risk adjustment or coding integrity team, this report is a self-audit trigger, independent of whether the plan’s own contracts were in OIG’s sample. The fact pattern is precise and testable: any enrollee with an acute stroke HCC-mapped diagnosis code submitted on a physician data record, with no matching inpatient or outpatient stroke diagnosis in the same service year. That is a query a coding integrity team can run against its own RAPS and EDPS submission history this month, not a hypothetical to monitor for later.

The workflow gap this exposes usually sits between two systems that were never designed to reconcile automatically: the physician encounter data feeding risk adjustment, and the facility claims data that would confirm or contradict it. Plans that reconcile those two data sets only during annual data validation, or only when a delegated coding vendor happens to flag something, are running the exact configuration OIG just tested at scale and found fails completely.

The same logic extends to any coding or risk-adjustment vendor a plan delegates this work to. Delegation does not transfer the obligation to look. It only adds a step: confirming the delegate is running the same reconciliation the plan itself now has every reason to run, and documenting that confirmation as part of ongoing FDR oversight rather than assuming the delegation agreement covers it.

Self-Audit Query

Acute stroke HCC-mapped code on a physician data record, no matching inpatient or outpatient hospital record, same service year. Runnable against RAPS/EDPS history this month.

Delegation Note

If a vendor submits these codes on the plan’s behalf, ask for evidence of the same reconciliation, not just a contractual assurance. FDR oversight requires monitoring, not just agreements.

RADV Overlap

This diagnosis pattern now sits inside the most aggressive RADV audit environment on record. A documented, 100% failure pattern is close to a published audit target.

Governance Ownership

Physician-to-facility data reconciliation often has no single owner. Until it does, this exposure will keep resurfacing regardless of who runs the one-time query.

The 60-Day Clock
“A published, government-sourced audit describing exactly this fact pattern is difficult to argue a plan could not have known about going forward. The obligation to look is already active, regardless of what CMS ultimately does with its own systems.”
PCOOB Weekly analysis — 42 CFR § 422.326 overpayment reporting standard

Under the Medicare overpayment reporting and return rule, an overpayment that is identified must be reported and returned within 60 days, and failure to do so converts an ordinary billing error into False Claims Act exposure. Coding integrity teams that read this report and do not run the corresponding query against their own submission history are building a defensibility gap that did not exist before the report was posted.

This report lands inside the most aggressive Risk Adjustment Data Validation audit environment in the program’s history, where CMS is already sampling across nearly every MA contract on a rolling basis and treating unsupported HCCs as full recoupments rather than partial adjustments. Plans that wait for their own RADV sample to surface this pattern, instead of finding it first, are choosing the more expensive way to learn the same lesson.

Timeline
2020
Prior OIG audit flags acute stroke codes as high-risk at the individual-plan level
Feb 2026
CMS begins RADV Payment Year 2020 audits, quarterly cadence
May 28, 2026
OIG issues Report A-02-23-01020, industry-wide stroke code finding
Jun 1, 2026
Report posted publicly; CMS response on record: no concurrence specified
Now
60-day self-audit window is the operative clock for plans that identify the pattern in their own data
08
The Structural Lesson

The Fix CMS Declined to Build Is Now Every Plan’s Job

CMS was handed a specific, quantified, fixable gap in its own payment system and chose not to say whether it will fix it. That decision does not make the gap disappear. It just moves the responsibility for closing it from the federal government’s systems to each health plan’s own data governance, whether or not that transfer was ever formally acknowledged.

This is not the first time OIG has asked CMS to build a payment-time or intake-time control rather than clean up after the fact. CMS’s pattern of declining to commit either way tells plans something durable about how to read federal oversight going forward: the expectation that CMS’s own systems will catch errors before payment is not a safe compliance assumption.

Three things follow directly. First, coding integrity functions should run the specific query this report makes possible, this month, not during the next scheduled audit cycle. Second, any coding or risk-adjustment vendor should be asked to demonstrate the same reconciliation, not simply assumed to be performing it under a standing contract. Third, whoever owns physician-to-facility data reconciliation should be named explicitly, because this exposure will keep resurfacing until someone owns closing it end to end.

None of this requires waiting on CMS. All of it is available to a coding integrity or compliance function today, using data the plan already has.

The plans that treat this report as a compliance assignment, and not a news item, are the ones that will not be explaining an aggravated finding to CMS next year.

Until next week, stay briefed.

Why It Matters — By Function

Where the OIG stroke-code finding lands across the health plan organization

Compliance
The 60-day clock is already running for anyone who reads this report
A published, government-sourced description of this exact fact pattern narrows the room to argue a plan could not have known. Constructive notice starts now, not when your own RADV sample surfaces it.
Risk Adjustment / Coding
A specific, runnable query, not a monitoring item
Acute stroke HCC-mapped code on a physician record, no matching facility record, same service year. This can be tested against RAPS/EDPS history this month.
IT / Systems
CMS won’t build the edit check, so plans need to
The gap sits between physician encounter data and facility claims data, two systems not designed to reconcile automatically. That reconciliation logic is now each plan’s responsibility.
Finance
Unmeasured overpayment liability if the pattern exists in your data
A confirmed pattern requires a repayment reserve conversation, not just a coding fix. The size of the exposure is not known until the query is run.
FDR / Delegation Oversight
Vendor assurances are not evidence of reconciliation
If a coding or risk-adjustment vendor submits these codes, the plan needs documented proof the vendor is running the same check, not a contractual assumption.
Audit / RADV Readiness
This diagnosis category is now close to a published target list
A documented, 100 percent failure pattern inside the most aggressive RADV environment on record makes this one of the more predictable places CMS looks next.

Questions Leaders Should Ask Now

Seven questions to pressure-test risk adjustment data governance against the OIG stroke-code finding

01
Can we run a query today matching acute stroke HCC-mapped diagnosis codes on physician data records against inpatient/outpatient facility records for the same service year, across our full risk-adjustment-eligible population?
02
If that query surfaces matches, do we have a documented process for evaluating them against the 60-day overpayment identification and reporting standard?
03
Who owns reconciliation between physician encounter data and facility claims data before RAPS/EDPS submission, and is that step automated or manual?
04
Does this same physician-only, facility-unconfirmed pattern exist in other high-risk diagnosis categories beyond acute stroke, and have we tested for it there too?
05
If a delegated coding or risk-adjustment vendor submits these codes on our behalf, do we have documented evidence the vendor is running an equivalent reconciliation, or are we relying on the contract alone?
06
Given CMS’s non-answer on a system-level fix, what is our assumption about whether this diagnosis category becomes a named RADV or OIG audit target next, and are we prepared either way?
07
If we identify a pattern consistent with this report, is our remediation and repayment process fast enough to meet the 60-day clock once the review begins?
Sources
Frequently Asked Questions
What did the OIG find about acute stroke diagnosis codes in Medicare Advantage?

An OIG audit found that all 97 of 97 sampled acute stroke diagnosis codes submitted by Medicare Advantage organizations had no supporting inpatient or outpatient hospital record in the same service year, a 100 percent failure rate that OIG estimates cost CMS $462 million in potential net overpayments for 2021 alone.

Did CMS agree to fix the payment system gap OIG identified?

No. CMS’s recorded response specified neither concurrence nor nonconcurrence with OIG’s recommendation to build a pre-payment system edit that would flag unsupported acute stroke codes before risk scores calculate.

What is the 60-day overpayment rule and why does it matter here?

Under 42 C.F.R. § 422.326, an identified overpayment must be reported and returned within 60 days, and failure to do so can convert an ordinary billing error into False Claims Act exposure. A published, government-sourced audit describing this exact fact pattern makes it difficult for a plan to argue it could not have known about the risk going forward.

How does this audit relate to Risk Adjustment Data Validation (RADV)?

This report lands inside the most aggressive Risk Adjustment Data Validation audit environment in the program’s history, where CMS is sampling across nearly every Medicare Advantage contract and treating unsupported diagnosis codes as full recoupments rather than partial adjustments.

Namrata Giri
PCOOB Weekly is an independent newsletter covering payer compliance, operations, oversight, risk, governance, audit, reporting, data, AI, and finance for U.S. health plan leaders.
Follow on LinkedIn

Discover more from PCOOB Weekly

Subscribe now to keep reading and get access to the full archive.

Continue reading