Risk Adjustment
Cavo Articles
These articles examine how accurate, defensible diagnosis capture strengthens risk adjustment performance, reduces audit exposure, and protects revenue in an era of increasing CMS scrutiny.
Concurrent Coding in Risk Adjustment: Why Timing Matters as Much as Accuracy
For most payer organizations, risk adjustment workflows were built around one core assumption. Coding happens after the fact. Charts are retrieved weeks or months after an encounter. Coding teams review documentation. Diagnoses are captured. Additional passes attempt to identify anything that may have been missed. Validation layers are added to ensure compliance and audit readiness. On paper, the process appears [...]
Audit-Ready by Design: How Leading Risk Adjustment Teams Reduce HCC Denials Before They Happen
Most risk adjustment leaders know HCC denial rates are a lagging indicator. By the time a pattern shows up in the data, the upstream decision that caused it was made weeks or months earlier. That upstream moment is where this article focuses. The question for a VP of Risk Adjustment is not how to respond better to denials. It is [...]
Why Retrospective Coding Fails Risk Adjustment
The Risks of Fixing Errors Too Late For many risk adjustment leaders, retrospective coding feels like the safety net. Charts get reviewed after the fact. Missed HCCs get flagged. Audits are performed. Cleanup cycles are put in place to make sure nothing slips through the cracks. On the surface, it feels responsible. Even reassuring. But over time, many organizations start [...]
The Hidden Cost of PDF-Based Risk Adjustment
How Legacy Chart Review Slows Everything Down It’s surprising how many health plans are still using PDFs for their risk adjustment coding. Not because PDFs don’t work at all. They’ve worked for years. But because healthcare technology has leaped past the antiquated method of transporting medical records to payers as PDFs. CMS and the OIG have been pushing advances in [...]
Scaling Risk Adjustment with Auto-Coding: How to Increase Throughput Without Increasing RADV Risk
If you’re leading risk adjustment for a health plan right now, you’re probably living in a constant tension. Chart volume keeps climbing. Chase lists don’t get smaller. Leadership wants improved RAF performance without a proportional increase in headcount or vendor cost. Everyone wants throughput. At the same time, CMS scrutiny is only getting tighter. RADV audits aren’t going away, and [...]
Revenue Leakage in Risk Adjustment Why Health Plans Still Miss Confirmable HCCs (Even With NLP Tools)
Most health plans believe they’re doing risk adjustment the right way. They take compliance seriously. They avoid unsupported codes. They’ve invested in NLP tools to improve speed and consistency. From the outside, the process looks sound. And yet, many of these same organizations continue to face a frustrating reality: confirmable HCCs are still being missed. RAF scores flatten. Revenue feels [...]
Machine Learning AI Suggests. Precise Word Matching AI Delivers.
For health plans, risk adjustment success depends on one non-negotiable requirement. Every ICD-10 and HCC submitted must be accurate, specific, complete, and fully defensible under audit. As CMS oversight tightens and RADV exposure increases, payers can no longer evaluate risk adjustment technologies based solely on speed or automation claims. The real question is how completely a solution identifies diagnoses and [...]
What to Look for in Next-Gen HCC Coding Software: A Buyer’s Checklist
Risk adjustment and coding leaders face mounting pressure to deliver accuracy, reduce audit risk, and streamline workflows within their organizations. Next-generation HCC coding software must solve these fundamental problems, not perpetuate them. Machine learning-based suggestions with confidence intervals create more work, not less, even while they miss many HCCs or suggest codes with lower RAF scores than documentation warrants. Moreover, [...]
Missing Rare or Complex HCCs? Why Standard NLP Solutions Leave Money on the Table
Risk adjustment leaders face a harsh reality: standard NLP solutions systematically miss the rare and complex Hierarchical Condition Categories (HCCs) that drive the highest reimbursements. While health plans chase every documentation opportunity, legacy HCC coding software leaves substantial revenue uncaptured: and creates audit exposure that keeps executives awake at night. The financial stakes are unforgiving. Missing a single complex HCC [...]
Lost Revenue, Ballooning Budgets: When Risk Adjustment Gets Unsustainable (And How to Fix It)
Risk adjustment was supposed to level the playing field. Instead, it’s become a financial drain—amplified by machine learning/NLP coding tools that plateau in accuracy, add operational complexity, and fail to scale cleanly. What started as a system to ensure fair payments based on member health complexity has morphed into an expensive, error‑prone process. Many organizations leaned on statistical NLP to [...]
