Advantmed Upends HEDIS Costs with Pay-for-Outcome Abstraction Model

IRVINE, CA – March 05, 2026 – In a move poised to disrupt the multi-billion dollar healthcare quality improvement market, Advantmed has launched an industry-first solution that fundamentally alters how health plans pay for critical data analysis. The new offering, “Pay for Quality: HEDIS Abstraction,” shifts the financial risk of medical record review from health plans to the vendor, allowing organizations to pay only for successful outcomes rather than the volume of charts reviewed.

This launch comes at a critical juncture for the U.S. healthcare industry. Health plans and other risk-bearing entities are under immense pressure to improve their performance on the Healthcare Effectiveness Data and Information Set (HEDIS), a set of standardized performance measures used to compare health plan performance. These scores are a major component of Medicare Advantage Star Ratings, which directly influence federal reimbursement and a plan’s ability to attract and retain members. The traditional process of finding and verifying this data, known as abstraction, has long been a costly and labor-intensive endeavor with no guarantee of a return on investment.

The High Cost of Chasing Quality

For years, health plans have been caught in a difficult financial bind. They possess massive volumes of member medical records, but manually reviewing every chart to find data that closes HEDIS care gaps is prohibitively expensive. The advent of Artificial Intelligence promised to ease this burden, yet most AI-enabled solutions are still priced on a per-chart-reviewed basis. This model means plans can spend hundreds of thousands, or even millions, of dollars on abstraction services without a guaranteed improvement in their quality scores.

The process remains a significant administrative and financial drain. Even with sophisticated software, a high degree of human oversight is required, with many processes demanding 100% validation by trained clinical abstractors to ensure compliance with the strict guidelines set by the National Committee for Quality Assurance (NCQA). This lingering manual component keeps costs high and introduces the risk of human error, which can lead to failed audits by the Centers for Medicare & Medicaid Services (CMS) and substantial financial penalties.

Furthermore, the historical approach to HEDIS abstraction has been reactive and narrowly focused, often targeting specific known gaps late in the reporting cycle. This limits a health plan’s ability to identify broader opportunities for quality improvement across its member population, perpetuating a cycle of high-cost, low-yield administrative work.

A New ROI: Paying for Performance, Not Process

Advantmed’s “Pay for Quality” model directly confronts these long-standing challenges by tying cost directly to results. Under this new structure, a health plan pays a fee only when Advantmed’s process successfully identifies a “compliant numerator” or a valid exclusion that closes a HEDIS care gap. If a chart review yields no useful, compliant data, the health plan pays nothing for that review. This outcome-based pricing effectively eliminates the upfront financial risk associated with traditional abstraction contracts.

“Our Pay for Quality offering fundamentally changes how health plans approach HEDIS abstraction,” said Matt Lambert, CMO & Head of Product Strategy at Advantmed, in a recent announcement. “Instead of paying by the chart, plans can now pay only when meaningful, compliant gap closure is achieved. This ensures a clear, outcome-driven return on investment while strengthening overall Quality performance.”

This approach marks a significant departure from the pricing models of major competitors in the risk adjustment and quality solutions space. While companies like Cotiviti, Inovalon, and Reveleer offer powerful, AI-driven platforms that promise high accuracy and efficiency, their value proposition is generally built around service subscriptions or per-unit processing fees. The explicit “pay only for success” model for the abstraction service itself appears to be a unique differentiator in the market, shifting the conversation from process efficiency to guaranteed financial return.

Navigating a Shifting Regulatory Landscape

The timing of this innovation is particularly significant given the ongoing evolution of HEDIS itself. The NCQA is in the midst of a major transition to phase out traditional hybrid measures—which allow for manual chart review—by 2029, pushing the industry toward fully digital quality measurement using Electronic Clinical Data Systems (ECDS). This shift is intended to reduce administrative burden in the long run but creates immediate pressure on health plans to improve their digital data infrastructure and ensure the accuracy of electronic records.

As the industry moves toward real-time, digital data streams, the ability to accurately and efficiently process vast amounts of clinical information becomes paramount. The transition period is fraught with challenges, as data often remains siloed and inconsistent across different electronic health record (EHR) systems. Solutions that can reliably identify and validate compliant data from diverse sources will be crucial for health plans seeking to maintain and improve their Star Ratings during this period of change. By guaranteeing that payment is only rendered for compliant findings, Advantmed’s model provides a financially secure pathway for plans to maximize data capture from existing records as they navigate this complex digital transformation.

The Engine Under the Hood: AI Meets Clinical Rigor

Making such a bold financial guarantee requires immense confidence in the underlying process. Advantmed states its model is powered by a proprietary AI-assisted workflow combined with a rigorous, multi-stage clinical review. This hybrid approach is key to its ability to offer an outcome-based price.

The company’s AI is designed to automate the initial, high-volume review of medical records, identifying and highlighting potentially relevant clinical values within unstructured data. This technology provides hyperlinked, annotated records to human reviewers, dramatically accelerating the process. However, the final determination of compliance is not left to the algorithm alone.

Every potential finding is validated through a meticulous review process conducted by a team of certified clinical HEDIS abstractors and nurses. This human oversight, which the company claims has historically achieved a 99% accuracy rate, ensures that every identified gap closure meets the exacting specifications of NCQA and CMS. It is this combination of technological scale and human expertise that underpins the company’s ability to assume the financial risk of the abstraction process. By ensuring that the results are both accurate and compliant, the model aims to deliver not just cost savings, but also the reliable data integrity that health plans need to succeed in a value-based care environment.