The Clock Is Ticking: What CMS's Value-Based Care Mandate Means for Your Organization, and How to Get Ahead of It

CMS has set a clear mandate: 100% of Medicare beneficiaries in accountable care relationships by 2030. In this post, Lavette Minn breaks down what the shift from fee-for-service to value-based care actually means for health plans, hospital systems, and RCM organizations and why most are more exposed than they realize. From HCC capture gaps under the V28 model to ungoverned AI coding tools creating silent audit risk, the financial stakes are already in motion. Learn where the blind spots are, what defensible looks like in a RADV environment, and how strategic advisory support helps organizations close the gap before CMS does it for them.

Lavette Minn

6/6/20264 min read

The fee-for-service era is ending. That is not a prediction, it is CMS policy.

CMS has set a clear target: have 100% of Medicare beneficiaries in accountable care relationships by 2030. Every health plan, hospital system, and provider group in the Medicare Advantage and traditional Medicare space is operating under a countdown. The organizations that treat this as a future problem will find themselves financially exposed, audit-vulnerable, and structurally unprepared when that deadline arrives.

The ones that move now will have a defensible, optimized revenue model already in place.

What the Shift from Fee-for-Service to Value-Based Care Actually Means

Under fee-for-service, the incentive is volume. More visits, more procedures, more codes, more revenue. The problem is that model has no financial relationship with outcomes. It rewards activity, not results.

Value-based care restructures that entirely. Under VBC, reimbursement is tied to the quality of care delivered, the management of chronic conditions, patient outcomes, and the accuracy of risk documentation. You are no longer paid for how much care you provide. You are paid for how well you manage the health of a population, and whether your documentation proves it.

That distinction is where most organizations are getting into trouble.

The Risk Adjustment Imperative

In a value-based environment, your RAF score is not just an administrative number. It is the financial foundation of your Medicare Advantage contract.

Risk Adjustment Factor scores determine how much CMS pays health plans to cover their members. Plans with higher-acuity, higher-complexity populations receive higher payments, but only if that acuity is accurately captured in the medical record and coded correctly.

With CMS's transition to the V28 HCC model now underway, the stakes are higher than they have been in years. V28 eliminated a significant number of HCC categories, restructured others, and tightened the documentation requirements for many of the conditions that drive RAF. Organizations that have not done a gap analysis between their V24 and V28 capture rates are already losing reimbursement they have legitimately earned.

And RADV audits are not slowing down. CMS is actively extrapolating audit findings across entire contracts. One documentation gap does not stay a documentation gap, it becomes a six- or seven-figure repayment demand.

Where AI Enters the Picture and Why It Creates New Risk

Every major health plan, RCM company, and coding vendor is either deploying AI-assisted coding tools or evaluating them. The efficiency gains are real. The compliance risks are equally real and far less discussed.

AI coding tools are trained on historical data. When the model changes, as it did with V28, those tools can perpetuate outdated coding patterns unless they are actively governed, monitored, and validated. An AI tool that was performing well under V24 logic may be systematically miscapturing conditions under V28 without a single alert firing.

That is not a technology failure. That is a governance failure. And in a RADV audit, CMS does not distinguish between the two.

Organizations moving into value-based care arrangements need to understand that AI adoption without a governance framework is an audit risk they are voluntarily accepting. The question is not whether your organization is using AI. The question is whether anyone owns accountability for what that AI is producing, and whether those outputs are defensible under scrutiny.

The Real Gap in Most Organizations

Most health plans and hospital systems have coders, compliance teams, and revenue cycle staff. What they typically lack is cross-functional alignment between those groups, and an objective lens on where the gaps actually live.

Internal teams are too close to the work to see the systemic issues. Coders know their workflows. Compliance knows the rules. But who is auditing the intersection of AI output, documentation quality, HCC capture accuracy, and RADV exposure simultaneously?

That is the blind spot where revenue is leaking and audit risk is accumulating.

How I Help Organizations Navigate This Transition

I work with health plans, hospital systems, and RCM organizations that are navigating the value-based care transition and need more than a compliance checklist. My advisory work sits at the intersection of risk adjustment accuracy, revenue integrity, and AI governance; three areas that cannot be managed in silos if an organization expects to be financially sustainable under VBC.

Specifically, I help organizations:

Assess RAF and HCC capture accuracy under the V28 model — identifying where documentation gaps are suppressing legitimate reimbursement and where overcoding patterns are creating RADV exposure.

Evaluate AI-assisted coding tools against compliance standards — not just for efficiency metrics, but for audit defensibility. If your AI tool cannot produce a clear, traceable rationale for every code it suggests, your coding team is signing off on outputs they may not be able to defend.

Align CDI, coding, and compliance workflows — so the documentation that clinicians produce actually supports the risk scores the coding team is capturing, and the compliance team is not finding out about the gap during an audit.

Build RADV readiness frameworks — because the organizations that respond to audits well are the ones who already know where their vulnerabilities are before CMS asks.

Advise on the strategic implications of VBC transitions — for executives making contracting, staffing, and technology decisions under pressure, with incomplete information and real financial consequences.

The 2030 target is not the only deadline that matters. The revenue you are losing right now due to capture gaps, the audit exposure you are accumulating right now due to ungoverned AI, and the documentation deficiencies that are compounding right now — those are immediate problems with immediate financial consequences.

The Bottom Line

CMS's move to value-based care by 2030 is not a disruption to prepare for someday. It is a structural shift that is actively rewarding organizations with accurate risk documentation, governed AI workflows, and defensible coding practices and penalizing the ones that are not.

The organizations that will be positioned well in 2030 are the ones making strategic moves now in 2026.

If your organization is navigating this transition and needs an objective, experienced advisor who understands both the clinical documentation side and the executive strategy side, I would welcome the conversation.

Lavette Minn is an AI in Healthcare and Revenue Integrity Advisor with 20+ years of experience in risk adjustment, medical coding, and value-based care strategy. She works with health plans, hospital systems, and RCM organizations preparing for the future of Medicare reimbursement.

Connect with Lavette Minn on LinkedIn or visit lavetteminn.com to learn more.

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