How Can VBC Organizations Protect Their Bottom Lines from AI Upcoding?

Payers and providers can protect their bottom lines from AI upcoding. Continuous automated auditing, robust clinical validation workflows, and transparent coding standards like uniform naming conventions support trustworthy medical code capture. As CMS intensifies scrutiny through Risk Adjustment Data Validation (RADV) audits, these measures can mitigate coding inflation and unsupported diagnoses from AI.

The AI Billing Problem

According to the AMA’s 2026 Augmented Intelligence Research survey, more than 80% of physicians now use AI in their clinical practices, with documentation and coding support among the most common applications. While providers adopt these tools to streamline workflows, the automated processes can inadvertently drive upcoding and increase billing inaccuracies.

This technology shift has introduced a new category of problems for payers and providers. Errors and inflated claims are generated quickly, hard to detect, and expensive to recover. Consequently, traditional coding safeguards fall short, causing payers and providers financial challenges.

Why Are Traditional Reactive Coding Methods Insufficient?

Conventional coding audits and payment integrity workflows were not designed to keep pace with AI-driven documentation. Retrospective reviews, sampling methodologies, and rules-based audits often fail to identify nuanced discrepancies introduced by AI tools, particularly when documentation appears clinically plausible but lacks sufficient support under payer or CMS guidelines.

This creates several structural gaps, including:

• Speed mismatch. AI-generated documentation and coding occur in real time, while most validation processes remain retrospective and episodic.
• Surface-level accuracy. Codes may align with documented conditions but fail deeper scrutiny around clinical validity, specificity, or medical necessity.
• Policy misalignment. AI tools typically optimize for completeness rather than payer-specific rules, increasing the likelihood of non-reimbursable or non-compliant diagnoses.
• Audit exposure. Unsupported or inflated risk-adjusted diagnoses increase vulnerability during RADV audits, where extrapolated findings can significantly impact financial performance.

For payviders operating in value-based arrangements, these gaps are particularly consequential. Inaccurate risk capture does not just affect individual claims; it distorts population risk scores, undermines care management strategies, and introduces financial volatility across contracts.

Without a proactive approach to validating AI-assisted documentation and coding, organizations risk scaling inaccuracies at the same pace as their automation investments.

RAMP: A Proactive Solution for Payers and Providers

AccuReports Revenue Audit and Monitoring System (RAMP) is a reliable solution that catches inadvertent upcoding. This FRG solution, which uses CMS data to surface previously accepted Hierarchical Chronic Condition (HCC) codes and the explicit diagnosis codes associated with each:

• Validates the codes organizations will submit to CMS
• Lists HCC and diagnosis codes that have been sufficiently documented and those eligible for recapture
• Corrects overcoding errors proactively rather than incurring potential penalties after CMS RADV assessments
• Aligns documentation for CMS risk adjustment submissions by posted deadlines
• Supports coding defensibility

As providers submit AI-generated claims, payers must evolve in parallel to flag anomalies with chart audits and engage providers to capture and document diagnoses and HCCs properly. RAMP Chart Audit Manager is a built-in toolset for managing and tracking clinical chart reviews across the care network. Deploy a full chart audit to ensure diagnoses and conditions are captured and documented.

RAMP reports support claim-level transparency and keep payer performance managers plus downstream provider group leads informed for a continuous feedback loop surrounding risk adjustment data so plans can maintain complete reporting and oversight.

For more information about RAMP, contact FRG via email at info@frgsystems.com or call 888-466-1025 today.