Important Development: Risk-Adjustment Coding in 2025: Expanding Beyond Medicare Advantage

The traditional narrative that risk-adjustment coding is exclusive to Medicare Advantage (MA) is no longer accurate.

In 2025, commercial insurers, particularly those managing Patient Protection and Affordable Care Act (PPACA) marketplace plans and employer-based products, are heavily relying on risk-adjusted payment models. This evolution is pushing health information management (HIM) professionals and coding teams into new territory, where documentation integrity, chronic disease capture, and accurate coding are essential for sustainable reimbursement.

A Broader Landscape for Risk Adjustment

Risk adjustment is a statistical process that modifies payments based on a patient’s disease burden and demographic risk. It was initially rooted in Medicare Advantage through the Centers for Medicare & Medicaid Services Hierarchical Condition Category (CMS-HCC) model, but today, risk adjustment has taken on a broader application across commercial health plans. These include:

• HCC models for PPACA plans, used to transfer funds between insurers based on the morbidity of their covered populations;
• Proprietary risk models developed by payers for employer-sponsored or value-based contracts; and
• Accountable Care Organization (ACO) and capitated arrangements, where risk scoring affects shared savings and bonus payouts.

Commercial payers now view accurate coding not just as a billing task, but as a mechanism to represent population complexity. As a result, providers are experiencing more retrospective chart reviews and documentation queries from non-Medicare payers than ever before.

Understanding the Stakes

The stakes for incomplete or inaccurate risk coding are high. If chronic conditions such as diabetes with complications, chronic obstructive pulmonary disease (COPD), or heart failure are not re-documented and captured each calendar year, risk scores decline, which lead to lower payments to plans and, in some cases, to providers. This can also result in payer audits and penalties.

On the flip side, upcoding or unsupported diagnoses can trigger clawbacks during post-payment audits. Therefore, coders and CDI professionals must walk a fine line, capturing every legitimate diagnosis while ensuring it is documented, evaluated, and appropriately treated in the record. Models like MEAT (Monitor, Evaluate, Assess/Address, Treat) continue to serve as a cornerstone for validating HCCs.

Challenges in Commercial Risk Models

A growing challenge in 2025 is navigating the differences between CMS-HCC, U.S. Department of Health and Human Services (HHS)-HCC, and payer-specific risk models. These models:

• May classify the same conditions differently;
• Rely on different hierarchies and weighting systems;
• Vary in terms of how frequently diagnoses must be captured; and
• Can shift annually based on updates or actuarial re-weighting.

For example, HHS-HCC models often include pediatric and maternity categories that CMS-HCC does not. HIM professionals must become fluent in these nuances to support compliance, particularly in organizations that serve mixed-payer populations.

Best Practices for HIM and CDI Leaders

To meet the demands of commercial risk adjustment, HIM leaders are implementing several best practices:

• Provider education: Train physicians and APPs on the importance of specific, recurring documentation of chronic conditions;
• Outpatient CDI integration: Expand CDI efforts beyond inpatient settings to focus on physician offices, clinics, and telehealth visits;
• Pre-visit planning: Equip providers with a snapshot of historical chronic conditions and missed HCCs prior to encounters;
• Chart auditing: Regular retrospective reviews help validate coding accuracy and detect risk gaps; and
• Collaboration with revenue cycle: Partner with billing, compliance, and analytics teams to track risk scores and financial impact.

Organizations that align these functions are more likely to succeed in commercial risk environments, where payer expectations are high and transparency is low.

The Role of Technology and Data

Advanced data analytics and artificial intelligence (AI)-driven coding support tools can greatly assist in identifying documentation gaps and suggesting potential HCCs. However, these tools must be used responsibly. Coding professionals and auditors must validate any suggestions made by machine-learning algorithms against clinical documentation and payer-specific rules. HIM departments are also using dashboards to monitor risk adjustment factor (RAF) trends, audit findings, and provider performance across specialties.

Importantly, this technology should enhance, not replace, clinical judgment and coding expertise. The integrity of the data remains a human responsibility.

Conclusion

Risk adjustment has matured from a niche Medicare concern into a universal driver of revenue, quality, and compliance across the healthcare continuum. In 2025, HIM professionals must be prepared to engage with risk coding across all payer types, champion documentation best practices, and foster collaboration between clinical and administrative teams.

By embracing this expanded role, HIM and coding leaders not only secure financial stability for their organizations, but also contribute meaningfully to accurate population health representation and equity in care delivery.

Programming note:

Listen live today when Angela Comfort cohosts Talk Ten Tuesday with Chuck Buck, 10 am Eastern.