

Two things converged in 2026 that make HCC risk adjustment coding a more consequential financial function than it has ever been for Medicare Advantage organizations.
First, the CMS-HCC model completed its three-year phase-in with 100% V28 implementation – meaning every Medicare Advantage risk score is now calculated exclusively under an updated model that restructured the condition categories, adjusted coefficient values, and changed how documented diagnoses translate into reimbursement. The CMS 2026 Rate Announcement reflects a -3.01% impact from risk model revision on MA payment parameters – a real and material headwind for organizations whose documentation workflows haven't caught up [1].
Second, CMS expanded its RADV audit program, with the OIG announcing in January 2026 an active review analyzing how the V28 transition affected the diagnosis codes MA organizations submitted – and whether CMS achieved the anticipated savings of over $7.6 billion projected from the model change for 2024 alone [2]. Federal estimates suggest MA organizations may be submitting unsupported diagnosis data resulting in approximately $17 billion in overpayments annually [3].
For boards and executive leadership, this is not a compliance footnote. It is a direct threat to revenue predictability and audit standing that demands a structured, governed program response.
Medicare Advantage risk adjustment payments are calculated based on the risk adjustment factor – a score derived from how completely and accurately a member's conditions are documented and coded against the active HCC model. When the model changes, the same clinical documentation may yield a different RAF score – and therefore different reimbursement – even when patient acuity hasn't changed at all.
Under V28, CMS rebuilt the hierarchical condition categories using ICD-10 codes from the ground up, moving away from the ICD-9-based framework that had underpinned prior versions. The finalized V28 payment model contains 115 HCCs. Conditions that mapped to risk-adjusted categories under V24 may no longer do so under V28, and others now require more clinically specific documentation to qualify. Organizations that haven't updated their documentation templates, coding workflows, and provider education to reflect what V28 requires are likely experiencing RAF underperformance that isn't visible as a billing error – it simply appears as lower-than-expected reimbursement.
That quiet revenue erosion, compounding across a full member population over a plan year, is the board-level problem.
The RADV audit program is CMS' primary mechanism for identifying and recovering overpayments to MA organizations. During an audit, every diagnosis submitted for risk adjustment must be supported by the enrollee's medical record. If it isn't, CMS may collect the overpayment [4].
The OIG's January 2026 work plan announcement signals that federal scrutiny is now specifically focused on how the V28 transition affected submitted diagnosis codes – comparing what MA organizations submitted against what the model change was projected to save. This is a meaningful escalation. It means the audit focus isn't just whether individual diagnoses are supported – it's whether the overall coding patterns of MA organizations reflect the model's intent.
For organizations that have been using retrospective chart review as their primary risk adjustment strategy, this is a structural vulnerability. Risk adjustment coding that captures diagnoses after the fact, without a concurrent layer that shapes documentation quality at the point of care, leaves organizations exposed on both sides: lower RAF scores from documentation that doesn't meet V28 specificity, and audit risk from patterns that deviate from projected model behavior.
For a detailed breakdown of the RADV mechanics and what records CMS examines, see CMS Is Ramping Up Audits of Medicare Advantage Plans. This blog focuses on the governance response those mechanics require.
Retrospective risk adjustment – structured chart review to identify missed or unsupported diagnoses – remains a necessary component of any complete program. The problem is when it operates as the sole strategy.
Retrospective review corrects what already happened. It doesn't change how providers documented the encounter, doesn't guide coding decisions at the point of care, and doesn't prevent the same gaps from recurring next cycle. When the same documentation issues surface repeatedly through retrospective review, it's a signal that the problem is upstream – in how providers are capturing chronic conditions, whether coding and clinical teams share a common understanding of V28 requirements, and whether there is any real-time feedback loop between what gets coded and what gets reimbursed.
Concurrent risk adjustment addresses that upstream gap directly – embedding documentation guidance, HCC capture, and coding validation into the encounter workflow before charts close. It doesn't replace retrospective review; it reduces how much retrospective correction is needed, and it produces documentation that holds up to RADV scrutiny because it was built with clinical specificity from the start.
High-performing risk adjustment services in USA operate both in parallel: concurrent workflows that protect revenue prospectively, and structured retrospective review that closes remaining gaps without creating patterns that invite audit concern.
Organizations that have elevated Medicare Advantage risk adjustment to a board-level governance function have one thing in common: they have real-time visibility into RAF performance, documentation quality, and HCC capture rates – visibility that leadership can act on before financial impact accumulates.
That visibility requires both human expertise and technology infrastructure that most internal teams cannot build and maintain alongside daily operations. 3Gen's RiskGen-i platform uses AI to scan structured and unstructured clinical notes, flag potentially missed or unsupported conditions for coder review, and surface RAF opportunities across a member population – all aligned to V28 requirements. Paired with 3Gen's certified HCC coding specialists, it supports concurrent accuracy and defensible retrospective review and gives leadership the reporting infrastructure to govern risk adjustment as a financial discipline.
In 2026, with V28 fully operational, RADV scrutiny expanding, and federal oversight specifically tracking whether MA organizations' coding patterns reflect the model's intent, the organizations best positioned are those that have already built the program structure their boards can stand behind.
3Gen Consulting helps U.S. healthcare organizations strengthen HCC risk adjustment coding accuracy, align documentation to V28 requirements, and build concurrent and retrospective programs designed for today's audit and reimbursement environment – powered by RiskGen-i.
[1] CMS, “2026 Medicare Advantage and Part D Rate Announcement,” 7 April 2025. Available: https://www.cms.gov/newsroom/fact-sheets/2026-medicare-advantage-part-d-rate-announcement.
[2] Centers for Medicare and Medicaid Services, “Trends, Patterns, and Key Comparisons Related to CMS-HCC Risk Adjustment 2020 Model (V24) and 2024 Model (V28),” 15 January 2026. Available: https://oig.hhs.gov/reports/work-plan/browse-work-plan-projects/trends-patterns-and-key-comparisons-related-to-cms-hcc-risk-adjustment-2020-model-v24-and-2024-model-v28/.
[3] CMS, “Update on the Status of Medicare Advantage Risk Adjustment Data Validation Audits,” 27 January 2026. Available: https://www.ahcancal.org/Reimbursement/Documents/MA/Update%20on%20Status%20of%20MA%20RADV%20Audits%201.27.26.pdf.
[4] CMS, “Medicare Advantage Risk Adjustment Data Validation Program,” 4 March 2026. Available: https://www.cms.gov/data-research/monitoring-programs/medicare-risk-adjustment-data-validation-program.
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The FAQ section simplifies key information about 3Gen Consulting’s services, helping partners navigate our offerings, methodologies, and value.
CMS completed the full three-year phase-in of the 2024 CMS-HCC risk adjustment model (V28) in 2026, meaning 100% of Medicare Advantage risk scores are now calculated exclusively under V28. The model rebuilt hierarchical condition categories (HCCs) using ICD-10 codes from the ground up, restructured HCC groupings, and adjusted coefficient values. The 2026 Rate Announcement reflects a -3.01% payment impact from the risk model revision – a real revenue headwind for organizations whose documentation hasn't adapted to what V28 requires.
The risk adjustment factor is calculated based on how accurately and completely a member's conditions are documented against the active HCC model. V28 changed which diagnoses map to HCCs and how specific the documentation must be to qualify. Conditions that yielded risk-adjusted codes under V24 may no longer do so under V28 – which means the same patient population can generate a lower RAF score if documentation workflows haven't been updated. This appears not as a billing error, but as lower-than-expected reimbursement across the plan year.
RADV audits confirm whether diagnoses submitted for risk adjustment are supported in enrollees' medical records. If unsupported, CMS may collect overpayments. In January 2026, the OIG announced an active work plan project specifically analyzing how the V28 transition affected submitted diagnosis codes – comparing MA organizations' coding patterns against the over $7.6 billion in savings CMS projected from the model change for 2024. This signals that audit scrutiny is now focused on population-level coding patterns, not just individual claim accuracy.
Concurrent risk adjustment guides HCC capture and documentation in real time — during or immediately after the encounter — preventing revenue gaps before they occur. Retrospective risk adjustment reviews completed charts after encounters close to identify missed diagnoses. Both are necessary. Programs relying only on retrospective review are correcting the past without fixing what creates the gaps — which leaves RAF scores suppressed and documentation patterns that may not hold up under RADV scrutiny.
Look for V28-aligned HCC coding expertise, structured concurrent and retrospective workflows, MEAT-criteria documentation validation, AI-powered HCC detection, and RAF performance reporting that gives leadership real-time visibility – not just monthly summaries. The right risk adjustment services in USA combine certified coder expertise with technology that scales across a full member population without sacrificing documentation defensibility.
3Gen combines certified HCC coding specialists with RiskGen-i – an AI-powered platform that scans structured and unstructured clinical notes to flag missed or unsupported conditions for coder review, aligned to V28 requirements. Our programs integrate concurrent and retrospective risk adjustment into a governed workflow designed to improve RAF accuracy, reduce RADV exposure, and give leadership the visibility to manage risk adjustment as a financial governance function – not a back-office operation.