Key Points
- Reading every chart against CMS’s V28 model and comparing true risk to submissions delivers a 25% RAF lift and $800–$2,400 in incremental revenue per member per year.
- The 5-10x coder productivity gain comes from routing coders only to flagged new opportunities, lowering cost per HCC while improving quality.
- Complete coding surfaces care gaps for members who are easiest to overlook, so accurate risk scoring and equitable care become the same underlying work.
- The mechanism (full-chart reading, true-risk comparison, built-in defensibility) travels across health plans even though the exact dollar impact depends on each plan’s starting point.
Strategy is easy to admire and hard to price. So here is the price. Across engagements with the Sutherland Health Risk Adjustment Solution, the model in this series delivers a 25% RAF lift and $800 to $2,400 in incremental revenue per member per year, with $64 million in revenue impact already delivered. These are not projections—they are proven outcomes from running the program described in the previous blog.
1. Revenue you can finally see
The revenue gain comes from completeness, not aggression. When every medical chart is read against CMS’ V28 model and true risk is compared to actual submissions, the understated members are visible. Recall the anchor from the start of this blog series: 22% of identified HCCs are net-new, valid conditions prior processes missed. Each one is earned revenue that was always there, finally documented and submitted.
A 25% RAF lift is what that completeness looks like in aggregate. On a per-member basis, $800 to $2,400 PMPY is the difference between coding to last year’s habits and coding to this year’s reality, applied across the whole population rather than a sample.
2. Compliance you do not have to scramble for
The second half of the value is harder to put on an invoice but just as real: risk you no longer carry. With CMS now auditing every eligible contract every year and estimating $17 billion in annual MA overpayments, the cost of an indefensible HCC is no longer hypothetical. Every submission in this model arrives audit-ready, with documentation captured as the work happens and unsupported codes routed to a delete bucket before they ever reach CMS.
That is value measured in recoveries that never happen, audits that resolve quickly, and a finance team that is not budgeting for surprises.
It is worth being precise about how this value behaves. Captured revenue shows up in the current year and tends to recur, because the same completeness applies every cycle. Avoided recovery is harder to see but often larger in a single hit, since an extrapolated audit finding can reach across an entire contract. A program that improves both at once is therefore not adding two small benefits; it is removing a tail risk while raising the baseline, which is exactly the combination finance leaders are usually unable to buy together.
3. Productivity that pays for itself
The 5 to 10x coder productivity gain changes the economics of the whole program. By reading 100% of charts with AI and routing medical coders only to new opportunities, the model lowers cost per HCC while raising both capture and quality. The same team does more valuable work, which is what makes the outcomes sustainable rather than a one-time push.
4. Care that reaches the people it should
There is an outcome that does not fit in a revenue table. Complete, accurate coding is also how members with quiet, undocumented conditions get seen. When the program surfaces an understated chronic condition, it is not only correcting a risk score; it is flagging a member whose care gap might otherwise stay invisible. Accurate risk and equitable care turn out to be the same work.
This matters most for the members who are easiest to overlook: those who see providers infrequently, whose conditions are managed quietly, or whose documentation is scattered across settings that a sampled program rarely reconciles. Reading every chart is not only a revenue mechanism, it is the difference between a population health view that reflects who your members actually are and one that reflects only who happened to be reviewed.
That is the full return on a disciplined program: revenue recovered, risk retired, costs reduced, and care directed where it is needed. It is what the Sutherland Health Risk Adjustment Solution delivers through a single, outcome-accountable engagement.
It is fair to ask whether numbers like these travel from one health plan to another. RAF lift and PMPY gains depend on where a plan starts: a program that already reads most charts has less to recover than one leaning on samples. What does travel is the mechanism. Reading every chart against the current model, comparing true risk to submissions, and building defensibility into each step produces gains on both sides of the ledger regardless of the starting point. The size of the number varies; the direction does not.
The fastest way to size it for your plan is to run the analysis on your own population. The gap is already there. The only question is whether you find it first, or an auditor does.
