V28 has fundamentally changed risk adjustment—not just by updating condition categories, but by tightening the expectations around documentation, specificity, and clinical support.
Organizations can no longer rely on retrospective review to ensure compliance or protect revenue. The margin for error is smaller, audit scrutiny is higher, and unsupported diagnoses are increasingly exposed.
The new standard is defensibility. Every diagnosis must be clinically supported, clearly documented, and audit-ready at the encounter level. Building a defensible risk adjustment program requires a shift from retrospective cleanup to real-time documentation integrity.
A defensible risk adjustment program under V28 ensures that every diagnosis is supported by complete MEAT documentation, captured at the point of care, and consistent across encounters. It prioritizes real-time validation over retrospective correction and reduces variability across providers.
In practice, this means organizations are moving away from “capture as much as possible” toward “capture only what can be defended.” Diagnoses must stand on their own clinical evidence without relying on retrospective clarification.
This shift is closely tied to growing audit pressure. As outlined in our analysis of increasing audit exposure, organizations must now ensure audit-ready documentation from the start rather than attempting to reconstruct it later.
👉 Read more: RADV Audit Pressure Is Rising: How AI Helps Protect Revenue
Traditional risk adjustment workflows are no longer defensible because they rely on retrospective review, incomplete documentation, and delayed validation. Under V28, these approaches fail to meet requirements for specificity, clinical support, and timing.
Most legacy workflows follow a familiar pattern:
The problem is that documentation gaps originate during the encounter—not during coding review. By the time gaps are identified, clinical context has already been lost.
This is why many organizations are shifting toward prospective models that reinforce documentation earlier in the workflow.
👉 See how this shift works: From Retrospective to Prospective: Modernizing Risk Adjustment Workflows
The highest-risk documentation gaps under V28 include missing MEAT elements, lack of specificity, unsupported chronic conditions, and inconsistent encounter documentation. These gaps make diagnoses difficult to defend and increase exposure to audit findings.
Common failure points include:
These gaps are not uncommon—they are systemic. They reflect the disconnect between clinical care and documentation requirements.
Addressing them requires closing gaps at the point of care rather than relying on retrospective recovery.
👉 Related: Closing HCC Coding Gaps at the Point of Care
Real-time documentation integrity is the process of validating clinical evidence, diagnosis accuracy, and MEAT elements during the patient encounter. It ensures that documentation is complete, accurate, and audit-ready before the chart is closed.
This approach shifts documentation from a passive record to an active validation process embedded within clinical workflows.
Building a defensible risk adjustment program requires embedding validation into clinical workflows, standardizing documentation practices, and using AI to ensure accuracy at scale.
Organizations must move from reactive correction to proactive reinforcement.
This shift also changes how organizations measure success. Instead of relying solely on recovered diagnoses, leaders are focusing on first-pass accuracy and documentation quality.
👉 Learn more: Proving ROI in Risk Adjustment: How to Measure Results Beyond Chart Review
Inferscience enables defensible risk adjustment by embedding real-time clinical intelligence directly into provider workflows. Its solutions ensure that documentation is accurate, complete, and audit-ready before submission.
Instead of relying on retrospective correction, Inferscience supports documentation integrity at the moment it matters most—the encounter.
Together, these capabilities act as an intelligence layer between clinical data and decision-making, enabling organizations to move from reactive workflows to defensible, real-time operations.
A defensible risk adjustment program improves RAF accuracy, reduces audit exposure, and decreases reliance on retrospective correction. It creates consistent documentation practices and strengthens financial predictability.
Organizations that adopt this model typically see:
This approach not only improves compliance but also reduces operational friction across teams.
A defensible risk adjustment program ensures that every diagnosis is supported by clear clinical evidence and MEAT documentation at the encounter level, making it audit-ready.
V28 increases audit risk by requiring greater specificity, stronger clinical validation, and more consistent documentation across encounters.
Yes, but it should support—not replace—real-time documentation integrity. Retrospective workflows alone are no longer sufficient.
AI improves defensibility by identifying documentation gaps, validating MEAT elements, and standardizing documentation in real time.
V28 has raised the bar for risk adjustment. Documentation must now be more precise, more consistent, and more defensible than ever before.
Retrospective workflows alone cannot meet these expectations. The only scalable path forward is real-time validation embedded within clinical workflows.
Organizations that adopt this approach will reduce audit risk, improve RAF accuracy, and create more sustainable operations. Those that do not will continue to face growing variability, compliance exposure, and operational burden.
Defensibility is no longer optional. It is the new standard.
Contact Inferscience to learn how to build a defensible risk adjustment program.
Request a walkthrough to see how real-time documentation integrity supports audit readiness and performance.
