Article

Medicare Advantage Plans Brace for Sweeping 2025 CMS Audit and Payment Rule Changes

  • June 11, 2025

CMS Tightens Oversight of Medicare Advantage Plans

In the coming year, the nation’s Medicare Advantage insurers – which cover over 31 million Americans – face an unprecedented wave of regulatory changes and scrutiny. The Centers for Medicare & Medicaid Services (CMS) has quietly ushered in a more aggressive audit regime for Medicare Advantage (MA) plans, alongside significant updates to how these plans are paid for the health risks of their enrollees.

Health plan CEOs, whose organizations collectively received about $455 billion in Medicare payments last year, are now grappling with what these changes mean operationally and financially. Many are preparing for a future in which annual federal audits become a routine part of doing business and risk adjustment rules are rewritten to curb excess payments.

Oversight Intensifies: RADV Audits Expand in 2025

Late this spring, CMS announced a dramatic expansion of its Risk Adjustment Data Validation (RADV) audits – the primary tool for verifying that MA plan payments are justified by members documented health status. Historically, CMS audited only a small sample (around 60) of MA contracts each year, targeting plans suspected of excessive billing. That is changing effective immediately: CMS will audit all eligible Medicare Advantage contracts annually (approximately 550 plans in total)1. In addition, the agency is fast-tracking a backlog of past years’ audits, pledging to complete all outstanding audits for payment years 2018 through 2024 by early 2026. This means health plans could be hit with multiple audit findings in short succession, condensing what might have been a decade of scrutiny into a much shorter window.

“We are committed to crushing fraud, waste and abuse across all federal healthcare programs,” Dr. Mehmet Oz, the CMS Administrator, said in a statement announcing the new audit strategy. While emphasizing the value of Medicare Advantage, Oz underscored that CMS must ensure [plans] are billing the government accurately2.

The RADV audits themselves will also become more intensive. CMS is increasing the sample size of medical records it reviews for each plan from about 35 records to as many as 200 records per plan annually1. By reviewing a larger slice of each plan’s claims, CMS aims to make any identified error rates more credible for extrapolation – a process of projecting the sample’s error rate onto the plan’s entire member population1. CMS finalized a rule in 2023 that, for the first time, allows auditors to extrapolate overpayment findings starting with audits of 2018 claims onward. In the past, if an audit uncovered (for example) $100,000 in improper payments in the sample, the plan would repay that amount; now CMS can multiply that figure across all similar cases in the year – a change that could turn modest audit findings into multimillion-dollar liabilities for plans.

To support this ambitious oversight agenda, CMS is bolstering its audit arsenal. The agency will deploy “enhanced technology” – including advanced data analytics, and potentially artificial intelligence, to flag suspect diagnoses in billing data1. It is also undertaking a massive workforce expansion, increasing its team of medical coders from just 40 to roughly 2,000 by September 2025 to manually review records and confirm unsupported codes2. This 50-foldstaffing surge underscores the scale of CMS’s commitment. All Medicare Advantage plans can now expect an audit each year, a stark departure from an era when many insurers never faced a RADV audit at all1.

For health plans, the immediate implication is a significant operational burden. Insurers will need to respond to ongoing documentation requests, often under tight deadlines, and may find themselves in perpetual audit preparation mode. Some plans are already ramping up their own internal audit teams and processes to mirror CMS’s efforts, aiming to catch and correct errors proactively before federal auditors arrive.

A Revamped Risk Adjustment Model and Policy Changes

Behind the audit crackdown is a broader effort to refine how risk adjustment – the system that pays more for sicker patients – is administered. In 2024, CMS began phasing in a new risk adjustment model (known as “V28”) for Medicare Advantage, the first major overhaul in years. This updated model recalibrates which diagnoses count toward a patient’s risk score and how much they raise payments. Notably, CMS removed over 2,000 diagnosis codes from the model that it deemed prone to being “up-coded” – the practice of documenting extra or more severe conditions to inflate payments3. The goal is to target codes most likely to be abused and ensure that payments better reflect genuine health status.

The transition to the new model is occurring gradually to mitigate disruption. For payment year 2024, risk scores were calculated with a blend (33% new model, 67% old model). By 2025, the balance flips to 67% new model (V28) and 33% old4, and by 2026 the new model will be fully in place. The V28 model introduces 115 condition categories (up from 86 in the previous model) but with a more selective set of diagnosis codes – 7,770 codes mapping to those categories, versus 9,797 codes in the old model4. In practical terms, some diagnoses that used to boost payments will no longer do so, or will do so to a lesser degree. Chronic conditions like diabetes, depression, or vascular disease are among those seeing coding criteria tightened or subdivided to prevent overstating a patient’s illness burden, according to policy analysts.

CMS argues these changes will improve payment accuracy and curb excess spending. Agency officials noted that Medicare Advantage plans have been paid billions more than similar patients in traditional Medicare, partly due to aggressive coding practices. Indeed, CMS now estimates MA plans overbill the government by about $17 billion a year through unsupported diagnoses, with some estimates as high as $43 billion. The new risk model, coupled with stepped-up audits, is designed to rein in this overspending. Med PAC, a congressional advisory body, has reported that payments to MA plans in 2024 were on track to be roughly $83 billion higher than they would have been in fee-for-service Medicare for the same enrollees – a gap these policies seek to narrow.

Health plans and providers, however, have voiced concern about the speed and impact of these changes. The industry pushed back hard when the new model was proposed, prompting CMS to adopt the three-year phase-in rather than an immediate switch3. Many insurers and health systems fear the model’s stricter coding could reduce payments for vulnerable patients, potentially affecting benefit offerings. CMS’s own projections suggested that despite the model changes, average plan payments per enrollee would still rise in 2024 and 2025, due to other adjustments. But those increases may be smaller than plans are used to, and impacts will vary byplans3.

The American Medical Group Association, representing provider organizations, cautiously noted that the phase-in gives CMS “an opportunity to refine the plan” if unintended consequences emerge by 2026. In essence, while regulators see the new model as a needed course correction, the industry sees a potential budget cut in disguise, to be fought or at least closely watched.

Operational and Compliance Challenges for Health Plans

For health plan executives, the confluence of comprehensive audits and new risk scoring rules translates into a daunting compliance agenda. Operationally, plans must strengthen their documentation practices and IT systems immediately. Every diagnosis code submitted for payment must be backed by proper medical record evidence – not just to withstand a CMS audit, but to ensure the plan isn’t overstating its risk scores under the refined model. Many insurers are conducting internal RADV-style audits on 2018–2022 data right now, essentially red-flagging any diagnosis in their system that might not hold up to scrutiny. By performing these self-audits and deleting or correcting unsupported codes in CMS’s database, plans can mitigate future penalties4. This proactive approach, encouraged by consultants, aims to “reduce and manage RADV financial exposure” by addressing issues before the government does.

Provider engagement is another critical piece. Medicare Advantage insurers often rely on networks of physicians and hospitals to document diagnoses, and historically some have incentivized providers to code comprehensively. Now the dynamic is shifting: plans are implementing new provider training and education on the V28 coding changes, stressing accurate and only supported diagnoses. Some plans are also revisiting their contracts with providers. Those that share risk with providers (through value-based arrangements or bonus incentives) may insert clauses making providers financially liable for coding errors that lead to audit recoveries. If a CMS extrapolated audit claws back millions of dollars from a plan, the plan doesn’t want to shoulder that alone – it may seek to recover portions from the physician groups whose documentation was found lacking. This is a delicate conversation, but it reflects how seriously plans are treating the new audit risk.

Internally, compliance and audit departments at MA organizations are bracing for a heavier lift. Plan CEOs are evaluating whether their teams have the bandwidth and expertise to handle continuous audit requests, or if they need to enlist outside help (such as specialized auditing firms or consulting partners). The administrative load of responding to RADV audits – pulling hundreds of medical records from archives, coding them, and submitting rebuttal evidence – is significant, especially for smaller regional plans. Plans must also keep pace with evolving guidance: CMS recently issued updated RADV audit dispute and appeal instructions (effective January 2025), clarifying how plans can challenge audit findings through a reconsideration process2. Ensuring the legal team is ready to navigate these appeals, especially when extrapolated sums are on the line, will be crucial.

Finally, IT systems need updates to accommodate the 2025 risk model blend and forthcoming full model transition. Claims and billing software must incorporate the new HCC definitions so that as of January 1, 2025, incoming claims are evaluated under the correct risk adjustment logic. Misalignments here could directly affect revenue projections and compliance. Some plans have had to reconfigure analytics dashboards and retrain their coders and coding vendors on the model’s nuances – for example, which codes no longer map to an HCC (and thus no longer increase payments)4. This system work is technical, but vital to avoid errors in submissions that could trigger audits or payment shortfalls.

Financial Stakes and Industry Response

The financial implications of CMS’s 2025 changes are multifaceted. On one hand, Medicare Advantage insurers might see lower revenue growth per patient as risk scores level off under the tighter model. On the other hand, they face the possibility of paying back substantial sums if audits uncover past overpayments. Even a small error rate can translate into a large liability when extrapolated across tens or hundreds of thousands of members. Past RADV audits (2011–2013) found overpayments in the range of 5% to 8%2. If a similar error rate were found today and extrapolated, a mid-sized plan with $1 billion in annual revenue might have to refund $50–$80 million for a single year – a heavy hit to earnings.

Compounding the concern, CMS’s decision to finalize audits from 2018 through 2024 in one burst means some plans could be writing checks for multiple years’ worth of overpayments almost at once. Financial officers are reviewing reserves and worst-case scenarios now. “If CMS identifies and extrapolates overpayments for those years, financial losses due to recoupment will be concentrated over a much shorter time period than under the prior timetable,” the Ropes & Gray analysis cautioned1. In other words, what might have been staggered as a series of smaller repayments over a decade could become a tidal wave of obligations around 2025–2026. This has implications for plan budgeting, dividend plans, and even market valuations – indeed, stock analysts have begun asking public MA insurers about their audit exposures in earnings calls.

Preparing for Change: Mitigation Strategies for Plans

In response to these challenges, savvy health plans are taking a multi-pronged approach to mitigate risk. One key strategy is investing in advanced analytics to identify coding outliers. Plans are leveraging data algorithms to scan claims for patterns – for example, providers who code unusually high rates of certain lucrative diagnoses – and then conducting targeted chart reviews to verify those cases. By doing so, plans can either validate the codes with proper documentation or proactively “unlock” and remove unsupported diagnoses from their submissions, thereby inoculating against future audit findings. This kind of internal cleanup, though potentially reducing payments in the short term, can save a plan from a costly claw-back down the road. Several large insurers have created special RADV task forces for this purpose, blending expertise from compliance, IT, and clinical coding teams.

Education and training are also front and center. Health plan leaders are doubling down on provider education programs to reinforce documentation standards. For example, physicians are being reminded that every chronic condition must be explicitly documented each year in the medical record to count for risk adjustment – and if they add a diagnosis, it should be one actively managed or treated, not just noted in passing. Plans are updating provider handbooks to reflect diagnoses that no longer risk-adjust under the new model, so clinicians don’t waste effort coding conditions that won’t contribute to funding. Some plans are even offering or requiring “documentation integrity” training sessions for network providers, knowing that many audit issues can be prevented at the point of care through better record-keeping.

Another defensive measure is incorporating more stringent audit clauses in vendor contracts. Many health plans use third-party vendors for chart reviews or in-home assessments to help identify additional diagnoses. In the wake of the RADV rule, plans are making sure those vendors attest to the accuracy of codes they submit on the plan’s behalf – and assume liability if codes don’t hold up in an audit. Similarly, plans in risk-sharing arrangements with providers are clarifying how any recovered payments will be handled, as noted earlier. The overarching aim is to align incentives so that everyone – plan, provider, vendor – has “skin in the game” to only report truthful, supportable diagnoses.

From a financial planning perspective, some insurers are bolstering reserves or reinsurance coverage to cushion against possible repayments. Just as importantly, they are scenario-testing the impact of lower risk scores. CFOs are running models on 2025 revenue under various coding intensity assumptions (for instance, if certain common diagnoses drop out of HCC scoring) to guide bids and benefit design for the upcoming plan year. In extreme cases, a few plans have hinted they might need to trim benefits or adjust premiums if the new model significantly undercuts their payments – a move that would likely invite member and political backlash. For now, most are taking a wait-and-see approach, hoping that improved documentation and coding accuracy can blunt the negative financial impacts.

Navigating the Changes with Technology and Support

As Medicare Advantage organizations brace for this new regulatory landscape, many are turning to technology and specialized support services to adapt more effectively. Digital operations platforms and analytics tools are emerging as essential aids in ensuring compliance without overwhelming internal teams. For example, some health plans are deploying AI-driven software to automatically review medical records for any discrepancies between documented conditions and submitted diagnosis codes. These tools can flag potential unsupported diagnoses in real time, allowing plans to correct errors before they are picked up in a CMS audit. Enhanced reporting systems also help plans continuously monitor their risk score trends under the new model and identify areas where scores are dropping due to the V28 changes – insight that can inform provider outreach and member care programs.

Mizzeto’s healthcare digital operations suite is designed to streamline back-office processes for payers, which now include the heavy compliance workloads. For instance, Mizzeto provides audit and compliance assistance, conducting transactional audits to ensure policy compliance and quality control. Such services can take on the labor-intensive task of reviewing claims and medical records for accuracy, effectively augmenting a health plan’s internal audit department. Mizzeto also specializes in claims processing automation and data management, which helps plans keep their billing accurate and up-to-date with the latest rules. By automating routine claims checks and integrating the new risk adjustment logic into claims workflows, these technologies reduce the chance of human error that could lead to audit findings.

Another area where external partners prove valuable is in financial reconciliation and provider recovery efforts. If a plan does end up owing money back to CMS or identifies overpayments made to providers, Mizzeto’s services include analyzing overpayment situations and even helping to recoup excess payments from providers in the plan’s network. This kind of support is critical when plans are processing the results of an audit or adjusting payments post-review. It ensures that once a compliance issue is identified, the plan can resolve it swiftly on the financial side – whether that means correcting claims, retrieving funds, or crediting CMS – all with minimal disruption to operations.

Crucially, these solutions are not about replacing human expertise but augmenting it. Health plan executives remain at the helm in setting strategy (such as how to respond to CMS rule changes or when to self-audit), but they are leveraging technology and trusted partners to execute those strategies at scale. The result can be a more resilient organization: one that can handle an uptick in audits and shifting payment formulas without sacrificing focus on member care.

Looking ahead, Medicare Advantage plans will continue to refine their approach as real-world data from 2025 rolls in. Early audit results and the first full year of the new risk score model will provide feedback, showing where coding patterns need improvement or which compliance investments yield the best returns. Health plan CEOs are keenly aware that the stakes are high – both in terms of dollar amounts and public trust. Yet, with thorough preparation, the right expertise, and strategic use of technology, plans can navigate these reforms. The overarching goal is aligning Medicare Advantage’s impressive growth with robust accountability. And while the 2025 CMS audit changes pose undeniable challenges, they also present an opportunity: for health plans to demonstrate their commitment to accuracy and quality, strengthening the partnership between the government and private insurers that millions of seniors rely on every day.

1CMS Announces Significant Changes to RADV Auditing Efforts: Considerations and Next Steps for the Medicare Advantage Industry

2CMS Rolls Out Aggressive Strategy to Enhance and Accelerate Medicare Advantage Audits

3Providers, payers press CMS to get rid of Medicare Advantage risk adjustment changes entirely

4Key Areas of Focus for Risk Adjustment as the Calendar Turns to 2025

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AI Data Governance - Mizzeto Collaborates with Fortune 25 Payer

AI Data Governance

The rapid acceleration of AI in healthcare has created an unprecedented challenge for payers. Many healthcare organizations are uncertain about how to deploy AI technologies effectively, often fearing unintended ripple effects across their ecosystems. Recognizing this, Mizzeto recently collaborated with a Fortune 25 payer to design comprehensive AI data governance frameworks—helping streamline internal systems and guide third-party vendor selection.

This urgency is backed by industry trends. According to a survey by Define Ventures, over 50% of health plan and health system executives identify AI as an immediate priority, and 73% have already established governance committees. 

Define Ventures, Payer and Provider Vision for AI Survey

However, many healthcare organizations struggle to establish clear ownership and accountability for their AI initiatives. Think about it, with different departments implementing AI solutions independently and without coordination, organizations are fragmented and leave themselves open to data breaches, compliance risks, and massive regulatory fines.  

Principles of AI Data Governance  

AI Data Governance in healthcare, at its core, is a structured approach to managing how AI systems interact with sensitive data, ensuring these powerful tools operate within regulatory boundaries while delivering value.  

For payers wrestling with multiple AI implementations across claims processing, member services, and provider data management, proper governance provides the guardrails needed to safely deploy AI. Without it, organizations risk not only regulatory exposure but also the potential for PHI data leakage—leading to hefty fines, reputational damage, and a loss of trust that can take years to rebuild. 

Healthcare AI Governance can be boiled down into 3 key principles:  

  1. Protect People Ensuring member data privacy, security, and regulatory compliance (HIPAA, GDPR, etc.). 
  1. Prioritize Equity – Mitigating algorithmic bias and ensuring AI models serve diverse populations fairly. 
  1. Promote Health Value - Aligning AI-driven decisions with better member outcomes and cost efficiencies. 

Protect People – Safeguarding Member Data 

For payers, protecting member data isn’t just about ticking compliance boxes—it’s about earning trust, keeping it, and staying ahead of costly breaches. When AI systems handle Protected Health Information (PHI), security needs to be baked into every layer, leaving no room for gaps.

To start, payers can double down on essentials like end-to-end encryption and role-based access controls (RBAC) to keep unauthorized users at bay. But that’s just the foundation. Real-time anomaly detection and automated audit logs are game-changers, flagging suspicious access patterns before they spiral into full-blown breaches. Meanwhile, differential privacy techniques ensure AI models generate valuable insights without ever exposing individual member identities.

Enter risk tiering—a strategy that categorizes data based on its sensitivity and potential fallout if compromised. This laser-focused approach allows payers to channel their security efforts where they’ll have the biggest impact, tightening defenses where it matters most.

On top of that, data minimization strategies work to reduce unnecessary PHI usage, and automated consent management tools put members in the driver’s seat, letting them control how their data is used in AI-powered processes. Without these layers of protection, payers risk not only regulatory crackdowns but also a devastating hit to their reputation—and worse, a loss of member trust they may never recover.

Prioritize Equity – Building Fair and Unbiased AI Models 

AI should break down barriers to care, not build new ones. Yet, biased datasets can quietly drive inequities in claims processing, prior authorizations, and risk stratification, leaving certain member groups at a disadvantage. To address this, payers must start with diverse, representative datasets and implement bias detection algorithms that monitor outcomes across all demographics. Synthetic data augmentation can fill demographic gaps, while explainable AI (XAI) tools ensure transparency by showing how decisions are made.

But technology alone isn’t enough. AI Ethics Committees should oversee model development to ensure fairness is embedded from day one. Adversarial testing—where diverse teams push AI systems to their limits—can uncover hidden biases before they become systemic issues. By prioritizing equity, payers can transform AI from a potential liability into a force for inclusion, ensuring decisions support all members fairly. This approach doesn’t just reduce compliance risks—it strengthens trust, improves engagement, and reaffirms the commitment to accessible care for everyone.

Promote Health Value – Aligning AI with Better Member Outcomes 

AI should go beyond automating workflows—it should reshape healthcare by improving outcomes and optimizing costs. To achieve this, payers must integrate real-time clinical data feeds into AI models, ensuring decisions account for current member needs rather than outdated claims data. Furthermore, predictive analytics can identify at-risk members earlier, paving the way for proactive interventions that enhance health and reduce expenses.

Equally important are closed-loop feedback systems, which validate AI recommendations against real-world results, continuously refining accuracy and effectiveness. At the same time, FHIR-based interoperability enables AI to seamlessly access EHR and provider data, offering a more comprehensive view of member health.

To measure the full impact, payers need robust dashboards tracking key metrics such as cost savings, operational efficiency, and member outcomes. When implemented thoughtfully, AI becomes much more than a tool for automation—it transforms into a driver of personalized, smarter, and more transparent care.

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FTI Technology

Importance of an AI Governance Committee

An AI Governance Committee is a necessity for payers focused on deploying AI technologies in their organization. As artificial intelligence becomes embedded in critical functions like claims adjudication, prior authorizations, and member engagement, its influence touches nearly every corner of the organization. Without a central body to oversee these efforts, payers risk a patchwork of disconnected AI initiatives, where decisions made in one department can have unintended ripple effects across others. The stakes are high: fragmented implementation doesn’t just open the door to compliance violations—it undermines member trust, operational efficiency, and the very purpose of deploying AI in healthcare.

To be effective, the committee must bring together expertise from across the organization. Compliance officers ensure alignment with HIPAA and other regulations, while IT and data leaders manage technical integration and security. Clinical and operational stakeholders ensure AI supports better member outcomes, and legal advisors address regulatory risks and vendor agreements. This collective expertise serves as a compass, helping payers harness AI’s transformative potential while protecting their broader healthcare ecosystem.

Mizzeto’s Collaboration with a Fortune 25 Payer

At Mizzeto, we’ve partnered with a Fortune 25 payer to design and implement advanced AI Data Governance frameworks, addressing both internal systems and third-party vendor selection. Throughout this journey, we’ve found that the key to unlocking the full potential of AI lies in three core principles: Protect People, Prioritize Equity, and Promote Health Value. These principles aren’t just aspirational—they’re the bedrock for creating impactful AI solutions while maintaining the trust of your members.

If your organization is looking to harness the power of AI while ensuring safety, compliance, and meaningful results, let’s connect. At Mizzeto, we’re committed to helping payers navigate the complexities of AI with smarter, safer, and more transformative strategies. Reach out today to see how we can support your journey.

February 14, 2025

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Feb 21, 20242 min read

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This Year, Retention Is a Fight on Two Fronts

In most years, Medicare Advantage disenrollment is a defensive problem: a plan keeps the members it has, and the losses are gradual. 2026 broke that pattern. A wave of plan exits pushed roughly 2.9 million Medicare Advantage members, about 10 percent of enrollees, out of plans that stopped serving their counties, a nearly tenfold jump from the 1 percent average that held from 2018 through 2024.1 The market filled with switchers, and every plan is now fighting on two fronts, defending the members it has and competing for a large pool of switchers. The same thing decides both: whether the plan is easy to be a member of.

The same failure now costs a plan twice

Forced disenrollment, the county exits that drove the 2026 spike, is not a service problem, and no plan can prevent it. But everything the disruption set in motion afterward is within a plan's control. A market this unsettled taxes a weak member experience twice, once as the plan loses its own members and again as it fails to keep the switchers it wins. A new member arrives with no goodwill in reserve. A tenured member might forgive a bad call after ten good years; a member of ten days simply shops again.

Members leave for reasons a plan can see coming

On both fronts, the reasons are documented, and they are not mainly about price. In the Medicare Current Beneficiary Survey, the strongest predictors of leaving were difficulty accessing care, which raised the odds by about a third, and low plan generosity, by roughly half; cost alone was not significant once the other factors were accounted for.2 CMS confirms it in its own monthly Disenrollment Reasons Survey,3 where close to a fifth of disenrollees cite problems getting services covered and roughly one in eight cite customer service.4 Those are the substance of member service calls.

The decision is usually audible before it is final

An honest caveat first: access and benefit design, the largest drivers, are not call center problems in origin, and listening does not widen a narrow network. What it does is surface the trouble first. Members rarely leave over a benefit design in the abstract; they phone to ask why a service was denied or a drug dropped, and hang up without an answer long before they fill out a form. A member who has called three times about one issue is not satisfied, yet first call resolution in health insurance is only about 72 percent,5 and for complaint calls just 47 percent.6 Traditional quality assurance reviews only 2 to 5 percent of calls,7 so the slow walk to disenrollment, and nearly every call in a language other than English, goes unheard.

Why the loss counts twice on the books

The cost shows up plainly. CMS caps broker pay at $694 for a new Medicare Advantage enrollment in 2026 and $347 for a renewal, so acquiring a member costs at least twice keeping one.8 In a churning market a plan pays that premium at volume, and winning a switcher only to lose them a year later to an unreviewed call means it bought nothing. On top sits the Star Ratings bonus: eligibility turns on the four star threshold, and a half star slip from 4.0 to 3.5 erases the entire 5 percent bonus,9 several million dollars a year for a midsize plan.

CMS just removed the disenrollment scorecard

The timing is unkind. On April 2, 2026, the Contract Year 2027 Final Rule removed 11 Star Ratings measures, including Members Choosing to Leave the Plan, the measure that graded plans on voluntary disenrollment, effective with the 2029 Star Ratings.10 That looks like relief, but nothing underneath it changed. CMS still fields the Disenrollment Reasons Survey and reports disenrollment publicly, CAHPS remains in the formula at double weight,11 and a lost member still has to be replaced. CMS stopped keeping score in the very year a plan can least afford to look away.

What to look for in a way to see it coming

Finding these members while there is still time to act is a different exercise from grading agents on a sample. A plan should look for:

  • Whole population analysis rather than sampling, so a single member's escalating calls and the patterns across the book are both visible.
  • Scoring that reads the member, weighing sentiment, unresolved issues, and repeat contact, not just whether the agent's greeting was correct.
  • The same rigor for every language, including interpreter lines, which Section 1557 of the Affordable Care Act makes a legal duty.
  • Plan ownership of the data and scoring models, so the retention signal survives changes in vendors, staffing, and telephony.
  • A direct link from calls to CAHPS, grievances, and disenrollment, so sentiment does not sit in a report no one connects.

Two ways to manage member retention

Reactive retention (sampling model) Predictive retention (whole population analysis)
Call coverage2 to 5 percent of calls sampledClose to 100 percent of calls analyzed
What gets measuredAgent greeting, script, and etiquetteMember sentiment, unresolved issues, members at risk
Calls not in EnglishRarely reviewed or scoredAnalyzed at the same depth as English calls
New members you just wonTreated like any other call in the sampleFirst calls flagged before a new member sours
When a leaving member becomes visibleAfter the member disenrolls, on a surveyWhile the member is still enrolled and reachable
Systemic patternsInvisible inside a small sampleSurfaced across the full member population
Data and scoring logicHeld in a vendor or reporting layerOwned by the plan and portable across changes

Sources: SQM Group call center benchmarking; CMS Contract Year 2027 Final Rule.

This is the gap Claro by Mizzeto was built to close. Claro analyzes the full volume of member calls, including the languages and interpreter lines sampling never reaches, and its Member Sentiment & At-Risk Identification scoring surfaces the unresolved, escalating conversations that turn into disenrollment months later, for tenured and newly won members alike, while the plan keeps ownership of the data. For the upstream work, see how payers can fix their call centers.

The bottom line

For one year at least, retention is a contest a plan can lose on both sides at once. The reasons people leave Medicare Advantage plans are documented, they turn on usability more than price, and they surface on calls long before an enrollment form, for members of a decade or a week. CMS took away the measure. The cost, paid twice over in a churning market, did not fall.

References

1.  Johns Hopkins Bloomberg School of Public Health and Georgetown University, JAMA (Feb. 18, 2026): approximately 2.9 million Medicare Advantage members, about 10 percent of enrollees, faced forced disenrollment for 2026 as plans exited markets, up from a mean of 1 percent from 2018 to 2024 and 6.9 percent in 2025. jamanetwork.com

2.  Health Affairs, study of Medicare Advantage disenrollment using the Medicare Current Beneficiary Survey (2015 to 2020): difficulty accessing care associated with roughly 1.33 times greater likelihood of disenrollment; low plan generosity roughly 1.47 times; dissatisfaction with care quality significant; dissatisfaction with cost alone not a significant independent predictor (approx. 1.03 times). healthaffairs.org

3.  Centers for Medicare and Medicaid Services, Medicare Advantage and Prescription Drug Plan Disenrollment Reasons Survey. Captures why beneficiaries voluntarily leave; results publicly reported in the annual Star Ratings Data Table and Display Measures. cms.gov

4.  The Commonwealth Fund, analysis of CMS Medicare Advantage Disenrollment Reasons Survey data: approximately 18 percent of disenrollees cited problems getting the plan to cover services and approximately 13 percent cited customer service issues such as trouble obtaining accurate information; voluntary disenrollment across MA contracts rose about 70 percent between 2017 and 2021. commonwealthfund.org

5.  SQM Group, First Call Resolution Benchmarking by Industry: health insurance first call resolution approximately 72 percent. sqmgroup.com

6.  SQM Group, first call resolution by call type: complaint calls resolve on first contact approximately 47 percent of the time, the lowest of all call types. sqmgroup.com

7.  SQM Group, call center quality assurance benchmarking: traditional programs review roughly 2 to 5 percent of interactions. sqmgroup.com

8.  Centers for Medicare and Medicaid Services, Agent and Broker Compensation memorandum for Contract Year 2026 (June 18, 2025): national maximum Fair Market Value of $694 for a new Medicare Advantage enrollment and $347 for a renewal. cms.gov

9.  Centers for Medicare and Medicaid Services, Medicare Advantage Quality Bonus Payment methodology: bonus payments apply to contracts at or above the four star threshold; loss of four star status removes the 5 percent quality bonus applied to the benchmark. cms.gov

10.  Centers for Medicare and Medicaid Services, Contract Year 2027 Medicare Advantage and Part D Final Rule (April 2, 2026): removal of 11 Star Ratings measures, including Members Choosing to Leave the Plan, effective with the 2029 Star Ratings. cms.gov; Federal Register, April 6, 2026.

11.  Centers for Medicare and Medicaid Services, 2026 Medicare Part C and D Star Ratings Technical Notes: CAHPS and patient experience measure weights reduced from quadruple (4x) to double (2x) effective with the 2026 Star Ratings. cms.gov

Jan 30, 20246 min read

July 31, 2026

2

min read

Article

The Grievance That Had a Six Week Warning

By the time a formal grievance reaches a health plan’s Grievance and Appeals team, it arrives looking like an emergency. The member is angry. A response deadline is already running. A regulator may eventually read the file. What the file rarely shows is that the grievance did not begin that week, or even that month. It began on an ordinary call that did not get resolved and was never reviewed. The warning was there. No one was assigned to look for it.

Most health plans treat reducing member grievances as a downstream chore: staff the queue, meet the deadline, close the case. That posture quietly concedes the grievance as inevitable, and it is not. A grievance is the visible end of an escalation that usually runs about six weeks, and nearly all of it is recorded, in the plan’s own phone system, in the member’s own words. The signal is not missing. It is simply never listened to.

A grievance is a six week escalation, not a single event

CMS defines a grievance as a complaint about a plan’s delivery of service, and the rules let a member arrive there slowly. A Medicare Advantage enrollee has up to 60 days after the triggering event to file, and the plan then has 30 days to resolve a standard grievance, with a 14 day extension.5 That window is the outer edge of a story that almost always starts earlier, on the phone.

The arc is familiar to any member services team. It opens with a single call about a denied claim, a benefit change, or a stalled prior authorization, and the member hangs up with an answer that is incomplete or simply wrong. That is common. SQM Group puts first call resolution for health insurance at roughly 72 percent, so close to three in ten member calls are not settled the first time.1 The member calls back, and calls again, and these repeat calls are the hardest to fix, because complaint calls resolve on the first contact only 47 percent of the time, the lowest rate of any call type SQM tracks.2 By the fifth or sixth week the member gives up and files. Only then does the plan open a case.

The shape of it is mundane. A member is told on the phone that a drug is covered, learns at the pharmacy counter that it is not, gets a different answer from a second agent, and files after a third. Three recorded calls, one avoidable grievance, and a member now drifting toward disenrollment. Every call was captured. None was flagged.

Appeals run on the same current. A denial explained badly prompts an appeal, not just frustration. The recording of that call is the clearest account of what the member was told, and the one document the appeals file rarely contains. A single unreviewed call can feed both outcomes, a grievance about the service and an appeal against the decision, both audible weeks before either was filed.

Why the warning stays invisible

The reason is not indifference. It is arithmetic. Traditional call center quality assurance, whether member service is run internally, outsourced, or split between the two, reviews somewhere between 2 and 5 percent of calls.3 The other 95 percent, which includes nearly every repeat call in an escalating grievance, is never heard by anyone whose job is to catch problems. A sample that small will almost never contain the three or four particular calls that make up one member’s slow walk to a filing, and it is even less likely to reveal the shape of the trouble when the same benefit is being miscommunicated to hundreds of members at once.

Sample size is only half of the failure. The deeper flaw is what the sampling was built to measure. A conventional scorecard asks whether the agent greeted the member, verified identity, and read the required disclosures. It does not ask whether the member’s problem was actually solved, or whether the member hung up angrier than they picked up. A call can earn a clean score and still be a grievance in motion. The program was designed to grade etiquette, and etiquette is not the thing that turns into a filing. We have made this case before, that most grievances start as calls that never got reviewed, and nothing in the underlying mechanics has changed since.

The calls in languages other than English are the least visible of all. When a member with limited English proficiency cannot be helped without an interpreter, the quality of the resolution is harder to verify, the member is less likely to push back on an answer they do not fully understand, and the interaction is almost never scored at all. Those are precisely the calls where a small misunderstanding hardens, unseen, into a grievance.

CMS just removed your grievance scorecard

On April 2, 2026, CMS issued the Contract Year 2027 Medicare Advantage and Part D Final Rule and, with it, removed 11 measures from the Star Ratings. Four of them speak directly to this problem, and all four leave the formula beginning with the 2029 Star Ratings: Complaints about the Health and Drug Plan, Members Choosing to Leave the Plan, Plan Makes Timely Decisions about Appeals, and Reviewing Appeals Decisions.4 Read in a hurry, that looks like a reprieve. The measures that once turned complaints, disenrollment, and appeals handling into a Star score are going away, and the natural temptation is to slide grievance and appeals monitoring down the list of things worth watching.

That reading has it exactly backward. The measures are leaving the scorecard. The exposure is staying exactly where it was. CMS still runs the Complaints Tracking Module, and plans are still bound to the resolution timelines set at 42 CFR 422.125 and 422.564.5 The complaint and customer service questions remain on the CAHPS survey, and the survey based measures carry heavy and rising weight in the Medicare Advantage formula.6 A member who leaves still leaves. What actually changed is narrower and more dangerous than relief: the warning light that used to sit on the Star dashboard has gone dark. Plans that had quietly relied on those measures as their grievance scorecard now have no scorecard, and precisely the same risk underneath it.

What it takes to see it coming

Seeing a grievance coming means catching the escalation while it is still a service problem, not a case number. It rests on a reversal: stop sampling calls to grade agents, and start reading all of them to find members. A plan that analyzes every interaction can connect the several calls behind one escalation and watch the same complaint surface across the population, where a single systemic fix replaces hundreds of grievances not yet filed.

The point is not more scores but earlier ones. A member who has called three times about one decision is a retention risk however politely each call was handled, and no rubric that grades greetings will say so. A few practical tests separate a system that sees a grievance coming from one that only counts calls afterward:

  • Whole population analysis, not sampling, so one member’s escalating calls and the patterns forming across the book are both visible before anyone files.
  • Scoring that reads the member, not just the agent, weighing sentiment, unresolved issues, and repeat contact rather than whether the greeting was correct.
  • The same rigor for calls in every language, including interpreter lines, because that is where hidden escalation collects and Section 1557 makes language access a legal duty.
  • Plan ownership of the conversation data, scoring models, and trend lines, so the early warning system survives changes in telephony and staffing and can be retuned in days.
  • Alerts that reach the people who can act, so member services, grievance and appeals, and compliance see a trend while there is still time to intervene.

Two ways to run grievance and appeals operations

Reactive grievance handling (sampling model) Predictive early warning (whole population analysis)
Call coverage 2 to 5 percent of calls sampled Close to 100 percent of calls analyzed
What gets measured Agent greeting, script, and etiquette Member sentiment, unresolved issues, members at risk
Calls not in English Rarely reviewed or scored Analyzed at the same depth as English calls
When a problem surfaces After the grievance is filed While it is still a service issue, weeks earlier
Systemic patterns Invisible inside a small sample Surfaced across the full member population
Data and scoring logic Held in a vendor or reporting layer Owned by the plan and portable across changes

Sources: SQM Group call center benchmarking; CMS Contract Year 2027 Final Rule.

Mizzeto built Claro for exactly this gap. It analyzes the full volume of member calls, including the ones in other languages and on interpreter lines that sampled QA never reaches, and its Member Sentiment & At-Risk Identification scoring is built to surface the unresolved, escalating conversations that become grievances and appeals weeks later, all while the plan keeps ownership of the underlying data and the logic that scores it. If a grievance and appeals team is meeting every deadline and still watching volume climb, the explanation is usually sitting in calls the plan has already recorded and has never had a way to hear.

The bottom line

A formal grievance is the most expensive way a health plan can learn about a problem it could have seen six weeks earlier. The information was never missing. It was sitting, unheard, in the 95 percent of calls no one reviews. CMS has taken away the measures that once forced plans to watch their complaints and their appeals, but the price of a grievance, paid in CAHPS, in disenrollment, and in compliance exposure, has not fallen by a cent. Reducing member grievances begins with a decision to stop waiting for them to arrive.

Any plan can find out what its own calls are already saying. Mizzeto will score a sample of them and show a plan the warnings hidden inside before it commits to anything further. For the upstream work that keeps these calls from going wrong in the first place, see how payers can fix their call centers.

References

1.  SQM Group, “First Call Resolution Benchmarking by Industry” (health insurance first call resolution approx. 72 percent). sqmgroup.com

2.  SQM Group, first call resolution by call type (complaint calls resolve at 47 percent, the lowest of all call types). sqmgroup.com

3.  SQM Group, call center quality assurance benchmarking (traditional programs review roughly 2 to 5 percent of interactions). sqmgroup.com

4.  Centers for Medicare & Medicaid Services, “Contract Year 2027 Medicare Advantage and Part D Final Rule,” April 2, 2026 (removal of 11 Star Ratings measures, including Complaints about the Health and Drug Plan, Members Choosing to Leave the Plan, Plan Makes Timely Decisions about Appeals, and Reviewing Appeals Decisions, effective with the 2029 Star Ratings). cms.gov; Federal Register, April 6, 2026.

5.  42 CFR 422.564 (grievance procedures: 60 day filing window, 30 day standard resolution, 14 day extension) and 42 CFR 422.125 (resolution of complaints in the Complaints Tracking Module). ecfr.gov

6.  Analysis of the CY2027 Final Rule finding relative Star Ratings weight shifting toward survey based measures such as CAHPS for Medicare Advantage plans (e.g., Crowell & Moring; Holland & Knight client alerts, April 2026).

Jan 30, 20246 min read

July 14, 2026

2

min read

Article

Patient Experience Starts in the Call Center, Not the Exam Room

Most health systems measure patient experience after it is over. The survey arrives weeks after the visit, asks about the physician, the nurse, and the discharge instructions, and lands as a number on a dashboard a full quarter after the care happened. By the time anyone reads it, the experience is already history.

For a large share of patients, though, the experience did not begin in the exam room. It began on the phone. It began when they called to book an appointment, asked a question about a bill, tried to reach someone in a language other than English, or waited on hold to learn whether a procedure was covered. That first call sets the tone for everything that follows, and most organizations have almost no visibility into how it went.

The call center is the front door to the health system, and also the least measured room in it. Most organizations review fewer than 5 percent of their calls, which means the interactions that decide whether a patient stays or leaves are usually the ones nobody hears. You cannot improve an experience you only sample. This article looks at why patient experience starts in the call center, what it costs when those calls go unreviewed, and what to look for in a way of measuring them that does not depend on a survey arriving months too late.

The first impression is usually a phone call

The first call is the first test of the relationship, and patients grade it against every other service they use. In a recent Harris Poll, 61 percent of Americans said they want their healthcare experience to feel more like a convenience app such as Amazon Prime or Uber, and 60 percent said they find the process of seeing a new provider frustrating.1 For most of them, that judgment forms on the phone.

That call carries more weight than it appears to. Accenture, which has surveyed more than 21,000 consumers on healthcare experience, found that 30 percent of patients selected a new provider in 2021, and that nearly 80 percent of those who switched cited poor navigation factors as the reason, including difficulty doing business and bad experiences with administrative staff.2 Navigation and administrative staff are not abstractions. They are the scheduling line, the billing line, and the front desk phone.

What this looks like in practice is familiar. A patient calls to schedule, gets transferred twice, sits on hold, never gets a clear answer about cost, and quietly books somewhere else. No survey ever captures that call, because the caller never became a patient. They simply did not come back.

The survey is a rear-view mirror

Patient experience surveys are valuable, but they share a structural limitation. HCAHPS for hospitals and CG-CAHPS for medical groups measure experience after the fact, on a sample of patients, and report it weeks or months later. They tell you what happened. They cannot tell you what is happening right now, while you can still do something about it.

A survey score also cannot explain itself. It can tell you a patient rated you a six. It cannot tell you that the patient was transferred three times trying to reschedule, that your Spanish-speaking callers are routinely routed to English-only agents, or that a billing conversation went sideways and broke trust. The reason behind the score lives in the call, not in the survey.

And the score is not a vanity metric. Through the CMS Hospital Value-Based Purchasing program, 2 percent of a participating hospital’s Medicare payments are withheld and redistributed based on performance, and the patient experience domain measured by HCAHPS accounts for 25 percent of the Total Performance Score.3 For a mid-sized hospital, that is millions of dollars tied to patient experience, a meaningful share of which is shaped before the patient ever arrives for care. That direct exposure is the hospital case. Physician groups do not sit under Hospital Value-Based Purchasing, but they answer to their own version through CG-CAHPS and value-based programs such as MIPS. The mechanism differs by setting. The underlying point does not: the experience that drives the score is built on calls, and it is rarely captured by them.

The calls that matter are the ones you never hear

Here is the part that does not get said often enough. Traditional manual call quality assurance reviews a small fraction of total calls, typically less than 5 percent. This is not a failure of the people doing the work. A human QA team, however skilled, can only listen to so many calls in a day. It is a limitation of the measurement model, and it holds true whether your contact center is in-house, outsourced, or a combination of both.

The problem is what that small sample misses. The calls that drive complaints, switching, and low scores are outliers by definition, and a random sample of a few percent is structurally poor at finding outliers. The frustrated caller, the dropped handoff, the limited English patient who never got a qualified interpreter: these are precisely the calls that fall outside the sample. The 95 percent nobody reviews is exactly where the risk lives.

When you can only see a sliver, you end up managing to averages. Average handle time, abandonment rate, and service level tell you the center is busy. They do not tell you whether patients felt heard, whether a financial conversation damaged trust, or whether a caller is one bad interaction away from leaving. The warning signs of a patient about to switch are audible long before they ever surface in a survey: repeat calls about the same unresolved issue, rising frustration in a caller’s tone, questions that never get a straight answer. Caught in the moment, those are coachable and fixable. Caught in a survey a quarter later, they are already lost revenue and a lower score.

What to look for in a way to measure patient calls

The goal is not to survey harder. It is to actually hear what happens on your calls, all of them, in a way you can act on. When evaluating how to do that, whether your contact center is run in-house, through a partner, or as a hybrid, look for a few things.

  • Full coverage, not a sample. The system should review 100 percent of calls, not the small share a manual team can reach. Outliers only become visible at full coverage.
  • Experience, not just compliance. It should score patient sentiment and the quality of agent communication, not only whether a script was followed. Compliance checklists miss the human signal that actually moves HCAHPS.
  • Every language, automatically. Non-English calls should be reviewed the same way English calls are. Section 1557 of the Affordable Care Act requires meaningful access for patients with limited English proficiency,4 so a tool that cannot read those calls leaves both an experience gap and a compliance gap.
  • Real time, not retrospective. It should surface issues while you can still intervene, not weeks later. A survey is a rear-view mirror. Live call intelligence is a windshield.
  • Owned by your organization. You should own the data and the real-time intelligence so your teams can act on it directly and continuously, rather than at quarterly reporting intervals.
  • Built to fit your stack. It should connect to the systems you already run, without a disruptive replacement project.

What you are measuring Survey-based measurement Call intelligence across every call
Coverage A sample of patients, after the visit Every call, as it happens
What it captures A score The conversation behind the score
Timing Retrospective, reported quarterly Real time
Non-English calls Often underrepresented or excluded Reviewed in every language
Primary use Reporting and benchmarking Coaching and early intervention

The difference between the two models is the difference between knowing your score and knowing why you earned it.

This is the gap Claro by Mizzeto was built to close. Claro is an AI-powered contact center intelligence platform that audits 100 percent of patient and provider calls, including calls in languages other than English, scoring patient sentiment, agent communication, and compliance in real time rather than on a sample weeks after the fact, and it connects to the systems you already use. The result is the ability to see and coach to what is actually happening on every call, in every language, instead of inferring it from a fraction of them. You can read more about how this reshapes day-to-day operations in our overview of modern call center operations.

The bottom line

The visit is not where patient experience begins. For a growing share of patients, it begins on the phone, and it often ends there too, before anyone in a white coat is involved. Health systems have spent years measuring experience after the fact and running the contact center to averages, while the moments that decide loyalty, reputation, and a meaningful slice of value-based reimbursement play out on calls nobody hears.

The organizations that move first to hear every call, in every language, as it happens will hold a real advantage: stronger HCAHPS performance, better patient retention, and operational decisions grounded in what patients actually experienced rather than what a delayed survey implied. Patient experience starts on the phone. The only question is whether you can hear it.

References

  1. Medical Economics, “69% of patients would switch providers for better services” (The Harris Poll), 2026. medicaleconomics.com
  1. American Hospital Association, “Why Patients Leave: 4 Nonnegotiable Consumer Expectations” (Accenture consumer research), 2023. aha.org
  1. Centers for Medicare and Medicaid Services, “Hospital Value-Based Purchasing.” cms.gov
  1. HCAHPS and Hospital VBP, Patient Experience of Care domain weighting. hcahpsonline.org
  1. U.S. Department of Health and Human Services, Office for Civil Rights, Section 1557 non discrimination final rule, 2024. hhs.gov

Jan 30, 20246 min read

June 25, 2026

2

min read

Article

Most grievances start as calls that never got reviewed

How call intelligence catches member complaints before they reach your grievance and appeals team

Every health plan has a grievance and appeals operation. Staff, timelines, case management workflows, regulatory tracking. For Medicare Advantage plans, CMS audits it. For Medicaid plans, states audit it. The compliance burden is real. The operational cost is real.

What most plans have not built is anything upstream of it.

A formal grievance is not where the problem starts. It is where the problem ends up after several earlier opportunities to fix it were missed. A member's prior authorization status was communicated incorrectly. A benefit change was explained poorly and the member hung up confused. An agent gave a formulary answer that turned out to be wrong. None of those calls showed up in the QA report, because the QA program reviewed 2 to 5 percent of call volume[1] and these particular calls were not in the sample. Weeks later, the member called back. Then again. Then filed.

This is the upstream problem that most health plan grievance operations are not resourced to see. The tools needed to catch it simply have not been part of how call center quality has historically worked.

What grievances are actually made of

CMS defines a grievance as a complaint about a plan's delivery of service. That definition covers a wide range of situations: an agent who was dismissive, a hold time that felt unreasonable, a coverage question that went unanswered. The operational category that generates the most preventable grievances is simpler than the regulatory definition suggests.

Most formal grievances start as an unresolved phone call.

SQM Group's benchmarking data puts the healthcare insurance call center first call resolution rate at approximately 72 percent[2], meaning roughly 28 percent of member calls do not get resolved on first contact. Some of those members call back once. Some call back twice. When the calls involve a coverage dispute, a prior authorization denial, or a benefit question with real financial consequences for the member, the escalation path eventually leads to a formal grievance.

The more telling finding is about complaint calls specifically. The FCR rate for interactions where a member is already expressing dissatisfaction is only 47 percent.[3] Less than half of the calls most likely to become a grievance get resolved on the first contact. Plans are sending a continuous stream of unresolved member issues toward the back end operations that cost the most to run.

There is a second finding worth flagging here. SQM's research estimates that approximately 14 percent of callers describe their call as a complaint call. Most contact centers believe that number is under 5 percent.[4] Complaint volume is substantially underreported. Plans are not just missing the resolution. They are missing the signal that a problem exists at all.

The enforcement environment has changed

In January 2026, California's Department of Managed Health Care fined Anthem Blue Cross $15 million for what it described as longstanding and widespread deficiencies in handling member grievances spanning more than 15 years.[5] The action included a requirement for an independent auditor to oversee grievance system corrections for up to four years. This was not the first enforcement action for the same pattern. Prior survey findings had not produced sustained correction.

The pattern regulators are reacting to is not primarily about whether a plan has a compliant grievance process on paper. It is about whether grievances are actually resolved. A well documented compliance framework that leaves a significant share of complaints unresolved is still a regulatory liability.

CMS also removed the Complaints about the Health Plan and Complaints about the Drug Plan measures from the Star Ratings formula, effective with the 2029 Star Ratings.[6] The instinctive response to that change is to treat complaint monitoring as less important. That is the wrong conclusion. CMS retains these as display measures, complaint trends are widely regarded in payer operations as leading indicators of CAHPS deterioration, and enforcement authority over grievance handling is completely independent of Star Ratings. The scorecard accountability signal is gone. The underlying compliance exposure is not.

What the call reveals that the grievance does not

By the time a formal grievance reaches the G&A team, the plan already has a documentation obligation, a response deadline, and a case that may be reviewed by a regulator. What the plan usually does not have is insight into the original interaction.

Not because the call was not recorded. Most plans record calls. But because the call was not analyzed. Nobody reviewed what the agent communicated about the prior authorization decision, whether the member left with an accurate understanding of their coverage, or whether the issue raised on that call had appeared on 200 other interactions in the previous 30 days.

That missing analysis is the upstream gap. A grievance intake form tells the plan what the member is upset about now. The original call tells the plan what actually happened, who was responsible, whether it was an agent accuracy issue or a systemic script failure, and whether the same pattern is playing out across hundreds of calls currently in queue.

When plans close that gap, the economics look different. Processing a formal grievance costs real money in staff time, documentation, and in some cases regulatory engagement. Catching the underlying issue in the call costs a fraction of that. The intervention point is upstream, and it is the cheaper one.

The call types most likely to generate a formal grievance follow a recognizable pattern. Each one shares the same underlying failure: an interaction that ended without resolution, with no mechanism to catch it before the member decided to escalate.

Call types, failure modes, and what changes with full interaction monitoring

Call volume source Legacy operating model What changes with full monitoring
Prior authorization status calls Agent improvises, no QA on resolution, member leaves without a clear answer AI flags unresolved PA inquiries, repeat callers on the same PA number identified same day
Formulary and benefit change calls Sampling misses misinformation, member gets the wrong coverage explanation Every benefit change call scored, agents with low quality responses flagged before the next open enrollment
Appeals and grievance inquiries Member learns to escalate, formal grievance filed, G&A team receives intake weeks after the call Call content linked to G&A filings, root cause traced to the originating interaction, coach before it escalates
Non-English member calls Interpreter routed, resolution unverified, member satisfaction surveys capture dissatisfaction 12 to 18 months later Native language QA scores every interaction, LEP member resolution tracked like any other call
Repeat callers on the same unresolved issue Repeat rate not systematically tracked, QA sample shows high compliance while the problem builds Repeat call pattern detected across full volume, systemic issues surfaced before a G&A filing

The language access dimension

Non-English member calls carry a disproportionate share of the upstream grievance risk. When a limited English proficient member reaches an agent who cannot serve them without an interpreter, resolution quality is harder to verify, the member is less likely to push back on an unclear answer, and the interaction is almost never scored in a traditional QA program.

The CY2027 Final Rule removed the Call Center Foreign Language Interpreter and TTY Availability measure from Star Ratings, effective with the 2029 Star Ratings.[7] Plans may read that as reduced pressure on language access. The old measure rewarded having an interpreter line available. The bar has shifted. LEP member dissatisfaction with service quality now surfaces in overall CAHPS scores, and those scores carry direct financial consequences for Medicare Advantage plans. It shows up 12 to 18 months after the interaction.

Plans that do not score non-English calls with the same rigor as English calls have a quality gap that will surface in member satisfaction surveys and, for Medicare Advantage plans, directly in CAHPS scores. It will just arrive on a delay.

What to look for in a solution

If you are evaluating call intelligence for this purpose, these are the capabilities that actually matter:

100 percent call coverage, not sampling. The interactions that generate formal grievances are rarely in a 2 to 5 percent random sample. Full coverage is what makes upstream intervention possible.

Root cause analytics, not just QA scores. An agent compliance score tells you whether the script was followed. It does not tell you why members are calling back about the same issue or whether a benefit change was communicated incorrectly across an entire team. Systemic failure identification is what separates a grievance prevention tool from a QA scorecard.

Linkage between call data and G&A intake. If a formal grievance arrives and the underlying call is retrievable, analyzable, and traceable to a root cause, that is a materially different case than one built from member description alone. The connection between call intelligence and grievance case management is where the prevention value is.

Native language quality monitoring. Non-English calls should be scored in the language they were conducted, not translated after the fact and then graded. Post hoc translation loses the nuances that determine whether a member actually understood the answer they received.

Plan ownership of the underlying data. If call recordings, transcripts, and scoring models belong to a vendor rather than the plan, the plan cannot connect call intelligence to its own member satisfaction data, grievance analytics, and retention tracking. That intelligence needs to stay with the plan.

How Claro by Mizzeto approaches this

Claro by Mizzeto was purpose built for health plans and analyzes 100 percent of member interactions across languages, scoring every call against six dimensions: CMS guidelines compliance, HIPAA compliance, resolution rate, CMS accuracy, member sentiment, and communication and empathy. Automated post call translation of non-English interactions is the enabling capability that makes scoring in any language possible. Call data stays with the plan. For related context, see Are Health Plans Really Listening to All Their Members? and our guide to how payers can fix their call centers.

The bottom line

Grievance volume is a lagging indicator. By the time a formal complaint reaches the G&A team, the call that caused it has already happened, the member's patience has already worn out, and the cheap intervention window has already closed. The plans that reduce preventable grievances are not the ones that build bigger G&A teams. They are the ones that get visibility into every call before the member decides to escalate.

The data is already in the call recordings. The question is whether the plan is actually looking at it.

References

  1. SQM Group. Published guidance on manual QA sampling rates, noting that most contact centers review 2 to 5 percent of call volume. https://www.sqmgroup.com/software  
  1. SQM Group. Call Center FCR Benchmark Results by Industry. Healthcare insurance industry first call resolution rate cited at approximately 72 percent. https://www.sqmgroup.com/resources/library/blog/call-center-fcr-benchmark-2024-results-by-industry  
  1. SQM Group. Top 10 Reasons for Repeat Call Complaints. FCR rate for complaint calls cited at 47 percent. https://www.sqmgroup.com/resources/library/blog/customer-complaint-calls  
  1. SQM Group. Top 10 Reasons for Repeat Call Complaints. Discrepancy between actual complaint call volume (approximately 14 percent) and the typical contact center estimate (under 5 percent). https://www.sqmgroup.com/resources/library/blog/customer-complaint-calls  
  1. California Department of Managed Health Care. Press release: DMHC fines Anthem Blue Cross $15 million for longstanding and widespread failures with member complaints. January 30, 2026. https://www.dmhc.ca.gov/Resources/Newsroom/PressReleases/January30,2026.aspx  
  1. Centers for Medicare and Medicaid Services. Contract Year 2027 Medicare Advantage and Part D Final Rule, April 2026. Complaints about the Health Plan and Complaints about the Drug Plan measures removed from Star Ratings, effective with the 2029 Star Ratings.
  1. Centers for Medicare and Medicaid Services. Contract Year 2027 Medicare Advantage and Part D Final Rule, April 2026. Call Center Foreign Language Interpreter and TTY Availability measure removed from Star Ratings, effective with the 2029 Star Ratings.

Jan 30, 20246 min read

June 12, 2026

2

min read