Article

The Integrity Test: How CMS’s 2025 Marketplace Rule Will Redefine Payer Strategy

  • September 12, 2025

For more than a decade, the Affordable Care Act (ACA)marketplaces have been a proving ground for U.S. health coverage. Enrollment has grown steadily—reaching 21.4 million people in 2024, the highest ever recorded since the ACA’s passage in 2010, according to HHS data.1 But growth has also drawn scrutiny. Are networks sufficient? Are subsidies sustainable? And are consumers being steered into plans that fit their needs, or into products that maximize broker commissions?

In April 2024, the Centers for Medicare & Medicaid Services (CMS) finalized the 2025 Marketplace Integrity and Affordability Rule, a sweeping regulation designed to tighten oversight of ACA plans. For payers active in this space, the rule is far more than a compliance exercise. It is a stress test of operational discipline, affordability strategy, and long-term reputation.

Understanding the Rule: Guardrails for Growth

At its core, the rule establishes new guardrails to protect members and restore public trust in ACA coverage. Among its most notable provisions:

  • Network adequacy requirements are being strengthened, including time-and-distance standards for provider access.
  • Agent and broker oversight is expanded, with CMS cracking down on misleading marketing and enrollment practices.
  • Premium alignment and subsidy rules are clarified to prevent distortions from “silver loading” and other pricing maneuvers.
  • Risk adjustment methodology is refined to limit gaming and improve fairness across plans.
  • Special enrollment protections are broadened, particularly for vulnerable populations transitioning between coverage.

Together, these rules reflect a single objective: ensuring that ACA marketplaces are not only growing, but doing so in a way that is affordable, accessible, and trustworthy.

Implications for Payers

The immediate effect of the rule is to raise the baseline expectations for payers. Network adequacy, for instance, is no longer a matter of marketing claims—it will require demonstrable compliance with uniform national standards. That puts pressure on provider contracting, data accuracy, and real-time monitoring systems. Plans that have relied on narrow networks as a lever to control costs may find those models increasingly difficult to sustain.

Risk adjustment is another pressure point. The ACA marketplace has always depended on risk adjustment to stabilize competition and prevent cherry-picking of healthier members. CMS’s refinements signal that aggressive coding strategies—so familiar in Medicare Advantage—will not be tolerated in the same way here. Instead, payers will need to build risk adjustment approaches that are analytically rigorous, transparent, and audit-ready. That will require investment not just in analytics, but in governance and compliance infrastructure.

The new guardrails on agent and broker behaviour strike at the heart of distribution strategy. Complaints about misleading marketing have surged in recent years—more than 90,000 in 2023 alone, according to CMS data.2 The new rule makes clear that CMS will not tolerate abusive practices. For payers, this means doubling down on compliance programs, tightening oversight of third-party distribution, and potentially investing in direct-to-consumer channels that reduce reliance on brokers altogether.

And then there is affordability. Subsidies remain the lifeblood of marketplace enrollment—according to Kaiser Family Foundation(KFF), as of 2025, 92% of ACA Marketplace enrollees receive a subsidy (Advanced Premium Tax Credit).3 But CMS’s new scrutiny of premium alignment and silver loading is a signal that creative pricing strategies are reaching their limits. CFOs will need to model subsidy flows with greater precision, ensuring that premiums are sustainable while remaining compliant with evolving federal rules.

Strategic Connections: More Than Compliance

Stepping back, the through line of this regulation is trust. CMS is asking payers to run their ACA business with the same operational rigor already expected in Medicare Advantage and Medicaid managed care. For executives, this has three interrelated consequences.

First, reputation management becomes inseparable from compliance. Marketplace plans are highly visible, and violations—whether inadequate networks or aggressive broker tactics—can quickly draw media and regulatory scrutiny. A lapse here is not just a legal risk; it is a brand risk.

Second, operational scalability is no longer optional. Stricter adequacy standards, enrollment oversight, and risk adjustment rules require infrastructure that can flex with growth. Manual workarounds may suffice for a few thousand members, but they will not withstand enrollment at the scale the marketplaces now represent.

Third, regulatory convergence is accelerating. What happens in ACA will not stay in ACA. CMS is deliberately harmonizing standards across programs, and the lessons learned in marketplace compliance will almost certainly shape the expectations for Medicare Advantage, Medicaid managed care, and even commercial exchange products. In other words, this rule is not just a one-off correction; it is a preview of where payer regulation as a whole is heading.

From Regulation to Strategy

For payer CEOs, the task now is not to build a compliance checklist but to seize the opportunity for long-term advantage. That means investing in provider data infrastructure to ensure that network adequacy can be demonstrated in real time, not after the fact. It means designing risk adjustment programs that can withstand audit without undermining competitive positioning. It means deploying analytics to model premium and subsidy interactions with precision, building pricing strategies that are resilient to regulatory change. And it means rethinking distribution oversight—not simply to police brokers, but to redesign member acquisition in ways that emphasize transparency and trust.

This is not just an operational mandate; it is a strategic one. The payers that embrace these changes will differentiate themselves not only in the ACA marketplace but across all lines of business. They will be seen as organizations that can scale growth while maintaining affordability, access, and compliance—qualities that regulators, providers, and members all increasingly demand.

The Bottom Line

The 2025 Marketplace Integrity and Affordability Final Rule is about more than patching gaps in oversight. It is CMS’s blueprint for a more consumer-centered insurance market—one where affordability, access, and transparency are non-negotiable. For payers, compliance is necessary, but it is not sufficient. The real opportunity lies in treating the rule as a catalyst: to clean up distribution, strengthen networks, and align pricing strategies with sustainable growth.

Payers who approach the rule narrowly, as a burden, will face mounting costs, reputational risk, and potential market exit. But those who meet it with vision will not only pass the integrity test; they will emerge stronger, with the infrastructure, credibility, and agility to lead in a converging regulatory environment.

At Mizzeto, we specialize in helping payers make that leap—from compliance to leadership. Our solutions in provider data management, risk adjustment analytics, and enrollment oversight are designed to help plans not just meet CMS requirements, but reimagine their core operations for resilience and growth.

The test of integrity is here. The question is not whether payers can comply, but whether they can transform.

 

SOURCES

1.  Nearly 24 million Consumers Have Selected Affordable Health Coverage in ACA Marketplace. With Time Left to Enroll

2. 2025 Marketplace Integrity and Affordability Final Rule | CMS

3. How much and why ACA Marketplace premiums are going up in 2026

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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.

Integrated artificial intelligence compliance
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

5

min read

Feb 21, 20242 min read

Article

The Integrity Test: How CMS’s 2025 Marketplace Rule Will Redefine Payer Strategy

For more than a decade, the Affordable Care Act (ACA)marketplaces have been a proving ground for U.S. health coverage. Enrollment has grown steadily—reaching 21.4 million people in 2024, the highest ever recorded since the ACA’s passage in 2010, according to HHS data.1 But growth has also drawn scrutiny. Are networks sufficient? Are subsidies sustainable? And are consumers being steered into plans that fit their needs, or into products that maximize broker commissions?

In April 2024, the Centers for Medicare & Medicaid Services (CMS) finalized the 2025 Marketplace Integrity and Affordability Rule, a sweeping regulation designed to tighten oversight of ACA plans. For payers active in this space, the rule is far more than a compliance exercise. It is a stress test of operational discipline, affordability strategy, and long-term reputation.

Understanding the Rule: Guardrails for Growth

At its core, the rule establishes new guardrails to protect members and restore public trust in ACA coverage. Among its most notable provisions:

  • Network adequacy requirements are being strengthened, including time-and-distance standards for provider access.
  • Agent and broker oversight is expanded, with CMS cracking down on misleading marketing and enrollment practices.
  • Premium alignment and subsidy rules are clarified to prevent distortions from “silver loading” and other pricing maneuvers.
  • Risk adjustment methodology is refined to limit gaming and improve fairness across plans.
  • Special enrollment protections are broadened, particularly for vulnerable populations transitioning between coverage.

Together, these rules reflect a single objective: ensuring that ACA marketplaces are not only growing, but doing so in a way that is affordable, accessible, and trustworthy.

Implications for Payers

The immediate effect of the rule is to raise the baseline expectations for payers. Network adequacy, for instance, is no longer a matter of marketing claims—it will require demonstrable compliance with uniform national standards. That puts pressure on provider contracting, data accuracy, and real-time monitoring systems. Plans that have relied on narrow networks as a lever to control costs may find those models increasingly difficult to sustain.

Risk adjustment is another pressure point. The ACA marketplace has always depended on risk adjustment to stabilize competition and prevent cherry-picking of healthier members. CMS’s refinements signal that aggressive coding strategies—so familiar in Medicare Advantage—will not be tolerated in the same way here. Instead, payers will need to build risk adjustment approaches that are analytically rigorous, transparent, and audit-ready. That will require investment not just in analytics, but in governance and compliance infrastructure.

The new guardrails on agent and broker behaviour strike at the heart of distribution strategy. Complaints about misleading marketing have surged in recent years—more than 90,000 in 2023 alone, according to CMS data.2 The new rule makes clear that CMS will not tolerate abusive practices. For payers, this means doubling down on compliance programs, tightening oversight of third-party distribution, and potentially investing in direct-to-consumer channels that reduce reliance on brokers altogether.

And then there is affordability. Subsidies remain the lifeblood of marketplace enrollment—according to Kaiser Family Foundation(KFF), as of 2025, 92% of ACA Marketplace enrollees receive a subsidy (Advanced Premium Tax Credit).3 But CMS’s new scrutiny of premium alignment and silver loading is a signal that creative pricing strategies are reaching their limits. CFOs will need to model subsidy flows with greater precision, ensuring that premiums are sustainable while remaining compliant with evolving federal rules.

Strategic Connections: More Than Compliance

Stepping back, the through line of this regulation is trust. CMS is asking payers to run their ACA business with the same operational rigor already expected in Medicare Advantage and Medicaid managed care. For executives, this has three interrelated consequences.

First, reputation management becomes inseparable from compliance. Marketplace plans are highly visible, and violations—whether inadequate networks or aggressive broker tactics—can quickly draw media and regulatory scrutiny. A lapse here is not just a legal risk; it is a brand risk.

Second, operational scalability is no longer optional. Stricter adequacy standards, enrollment oversight, and risk adjustment rules require infrastructure that can flex with growth. Manual workarounds may suffice for a few thousand members, but they will not withstand enrollment at the scale the marketplaces now represent.

Third, regulatory convergence is accelerating. What happens in ACA will not stay in ACA. CMS is deliberately harmonizing standards across programs, and the lessons learned in marketplace compliance will almost certainly shape the expectations for Medicare Advantage, Medicaid managed care, and even commercial exchange products. In other words, this rule is not just a one-off correction; it is a preview of where payer regulation as a whole is heading.

From Regulation to Strategy

For payer CEOs, the task now is not to build a compliance checklist but to seize the opportunity for long-term advantage. That means investing in provider data infrastructure to ensure that network adequacy can be demonstrated in real time, not after the fact. It means designing risk adjustment programs that can withstand audit without undermining competitive positioning. It means deploying analytics to model premium and subsidy interactions with precision, building pricing strategies that are resilient to regulatory change. And it means rethinking distribution oversight—not simply to police brokers, but to redesign member acquisition in ways that emphasize transparency and trust.

This is not just an operational mandate; it is a strategic one. The payers that embrace these changes will differentiate themselves not only in the ACA marketplace but across all lines of business. They will be seen as organizations that can scale growth while maintaining affordability, access, and compliance—qualities that regulators, providers, and members all increasingly demand.

The Bottom Line

The 2025 Marketplace Integrity and Affordability Final Rule is about more than patching gaps in oversight. It is CMS’s blueprint for a more consumer-centered insurance market—one where affordability, access, and transparency are non-negotiable. For payers, compliance is necessary, but it is not sufficient. The real opportunity lies in treating the rule as a catalyst: to clean up distribution, strengthen networks, and align pricing strategies with sustainable growth.

Payers who approach the rule narrowly, as a burden, will face mounting costs, reputational risk, and potential market exit. But those who meet it with vision will not only pass the integrity test; they will emerge stronger, with the infrastructure, credibility, and agility to lead in a converging regulatory environment.

At Mizzeto, we specialize in helping payers make that leap—from compliance to leadership. Our solutions in provider data management, risk adjustment analytics, and enrollment oversight are designed to help plans not just meet CMS requirements, but reimagine their core operations for resilience and growth.

The test of integrity is here. The question is not whether payers can comply, but whether they can transform.

 

SOURCES

1.  Nearly 24 million Consumers Have Selected Affordable Health Coverage in ACA Marketplace. With Time Left to Enroll

2. 2025 Marketplace Integrity and Affordability Final Rule | CMS

3. How much and why ACA Marketplace premiums are going up in 2026

Jan 30, 20246 min read

September 12, 2025

2

min read

Article

How CMS’s Final Rule Will Reshape Prior Authorization

Prior authorization has long been a symbol of administrative drag in U.S. healthcare—delaying care, frustrating providers, and increasing costs. Over 90 percent of U.S. physicians report that prior authorization causes delays in patient care—and nearly 90 percent say it contributes to professional burnout.1 Now, a sweeping CMS rule finalized in 2024 is set to upend the status quo. The Interoperability and Prior Authorization Final Rule (CMS-0057-F)2 doesn’t just mandate API adoption—it compels payers to reengineer how they handle requests, data, and transparency across the board.

The End of Manual Prior Authorization

For decades, prior authorization (PA) has relied on outdated methods—fax machines, phone calls, email threads—resulting in administrative waste and delayed care. In fact, nearly a quarter of U.S. physicians report that prior authorization has led to serious adverse events, including hospitalizations or life-threatening delays.3 The CMS rule marks the beginning of the end for these practices.

Announced in January 2024, CMS-0057-F mandates the adoption of modern, API-driven infrastructure to automate and streamline PA and health data exchange. The rule applies to:

  • Medicare Advantage organizations
  • Medicaid and CHIP (both FFS and managed care)
  • Qualified Health Plans (QHPs) on the Federally Facilitated Exchanges

Commercial plans are not currently included; however, the rule is expected to influence broader industry standards over time.

What the Rule Requires: From Compliance to Capability

By January 1, 2027, payers must move from fragmented systems to a unified, API-driven infrastructure as required by CMS’s final rule. At the heart of this transition is the adoption of FHIR-based APIs, which will transform prior authorization from a manual, siloed process into an interoperable, fully digital workflow.

The rule mandates several APIs designed to create seamless data exchange across the healthcare ecosystem. Providers will be able to electronically submit prior authorization requests, check documentation requirements, and receive real-time updates or decisions—eliminating the need for faxes, phone calls, and disconnected portals. To further streamline care delivery, in-network providers must also be granted digital access to a patient’s claims, encounter, clinical, and prior authorization history—empowering them to make informed decisions at the point of care.

In addition, payers must support secure, automated data sharing both with other payers and with patients. When members switch plans, their clinical and prior authorization data must move with them, ensuring continuity of care without administrative delays. Patients themselves will benefit from expanded access to their own health and prior authorization data, promoting transparency and enabling them to engage more actively in their care decisions.

New Timelines. New Pressures.

The rule does not just digitize prior authorization—it accelerates it. Urgent requests must be resolved in 72 hours, standard requests within 7 calendar days. Every denial must include a specific, actionable reason. Additionally, beginning in 2026, payers must publicly post prior authorization metrics on their websites, such as approval/denial rates and average turnaround times. This means internal inefficiencies will soon be externally visible, putting reputational pressure on payers to perform.

These are not just technical deadlines; they are operational mandates that affect staffing, workflows, and long-term scalability.

A Mandate for Real Interoperability

Under the hood, this rule is about much more than prior auth. It is part of a larger federal push to tear down data silos and create a healthcare ecosystem that behaves more like a modern, digital industry.

Payers must not only modernize systems but also:

  • Align with USCDI (U.S. Core Data for Interoperability)
  • Integrate with provider EHR systems using SMART on FHIR
  • Track and document clinical decision logic in structured, shareable formats
  • Enable secure, permissioned data sharing with third-party apps and provider organizations

This is not plug-and-play IT. It is a strategic replatforming of how payers operate at their core.

The Risk of Falling Behind

Payers who approach this rule as a checkbox exercise—focusing only on minimum compliance—risk more than regulatory penalties. They risk damaging provider relationships due to slow or unreliable PA workflows as well as public reputational harm via poor performance metrics. Further risks include losing market share to more tech-forward competitors; and an increased operational cost due to inefficient legacy systems and manual workarounds

In contrast, those who embrace the shift stand to gain significant advantages—lower administrative burden, faster service turnaround, and stronger provider alignment.

Turning Regulation into Transformation

To meet the demands of CMS-0057-F and thrive in an increasingly digital healthcare ecosystem, payers must rethink how their systems handle prior authorization and data interoperability—from the ground up. This means building scalable, standards-based APIs that support automated prior authorization submissions, payer-to-payer data exchange, and real-time access for both providers and patients. These APIs must be secure, modular, and capable of integrating with existing platforms—without introducing unnecessary complexity.

Modernizing prior authorization also requires full end-to-end workflow automation. From intake and clinical review to adjudication and provider notification, each step must be digitized and streamlined to meet strict CMS timelines without increasing administrative burden. This is especially critical in achieving the mandated turnaround times—72 hours for urgent requests and seven calendar days for standard cases—while maintaining accuracy and consistency.

Equally important is seamless provider integration. By connecting directly with provider EHRs and enabling SMART on FHIR capabilities, payers can reduce manual follow-ups and foster real-time, context-aware collaboration with clinical teams. This not only improves efficiency but also strengthens provider relationships, which will be critical as performance metrics become public and increasingly scrutinized.

Transparency must also extend to how decisions are communicated. Payers need systems that can generate clear, standardized denial reasons—structured in a way that supports both compliance and clinician understanding. Meanwhile, CMS’s public reporting requirements demand real-time visibility into operational performance. Intuitive dashboards, aligned with federal standards, can help internal teams monitor key metrics while also meeting external transparency obligations.

Finally, the underlying architecture must be built for more than today’s rule—it should lay the foundation for future regulatory shifts, data sharing innovations, and scalable interoperability across the healthcare continuum.

The Bottom Line

CMS-0057-F marks a pivotal shift in how payers must operate. Prior authorization can no longer remain a manual, reactive process. It must become real-time, interoperable, and patient-centred.

Mizzeto specializes in delivering precisely these kinds of solutions—combining automation, streamlined prior authorization, clinical care review capabilities, and a unified utilization management intake process. We help payers not only meet regulatory requirements, but also reimagine their core operations for greater efficiency, scalability, and long-term impact.

The payers who act now, those who build modern infrastructure, streamline workflows, and enable intelligent automation, will not just comply with the rule. They will gain a lasting advantage in an industry that is rapidly evolving.

Sources

  1. AMA Survey Highlights Growing Burden of Prior Authorization on Physicians, Patients.
  1. CMS Interoperability and Prior Authorization Final Rule.
  1. Fixing prior auth: First, speed up payers’ response times.

Jan 30, 20246 min read

September 3, 2025

2

min read

Article

From Paperwork to Precision: The Case for AI in Utilization Management

In Utilization Management (UM), nurses often spend hours reviewing lengthy clinical records to identify the small subset of information needed for a medical necessity determination. These files—sometimes exceeding dozens or even hundreds of pages—contain physician notes, lab results, imaging reports, and discharge summaries scattered throughout, with no standardized structure or clear prioritization of relevance. Extracting the critical details requires reading line-by-line, cross-referencing across sections, and manually piecing together the patient’s clinical story.

This process is not only labor-intensive but also misaligned with the role of skilled clinicians. Instead of applying their expertise to complex medical decision-making, UM nurses are forced into the role of document synthesizers. Across thousands of cases, this leads to slower review cycles, increased administrative costs, elevated burnout risk, and unnecessary delays in care. According to the American Journal of Managed Care, prior authorization processes already contribute billions in wasted administrative time annually1 — inefficient record summarization is a major driver of that burden.2

As case volumes rise and the complexity of medical documentation grows, the challenge is accelerating. Without tools that can rapidly distill large records into clear, accurate summaries, UM operations will remain constrained by a bottleneck that limits both efficiency and clinical focus.

In addition to navigating lengthy records, UM nurses must also manually cross-check clinical details against InterQual, MCG, or CMS criteria to determine medical necessity. This process often requires flipping between multiple systems or documents—matching diagnosis codes, lab values, imaging findings, and treatment history against guideline requirements. It is a time-consuming and error-prone task that diverts focus from clinical judgment to administrative box-checking. Without automated assistance to align extracted data with the appropriate guidelines, even straightforward cases can take far longer than necessary, delaying care and increasing the risk of inconsistencies in determinations.

AI-Powered Tools That Empower Clinical Reviewers

The next generation of AI offers a powerful set of tools designed to address the core inefficiencies in Utilization Management. Rather than replacing the nurse’s clinical judgment, these technologies support it—streamlining routine tasks, improving information access, and accelerating decision-making while maintaining compliance and auditability. Some examples of how health plans can harness AI in their clinical review workflows are:  

  • Automatically summarize complex clinical records, distilling hundreds of pages into structured briefs that highlight only the clinically relevant information tied to medical necessity criteria.
  • Contextualize clinical details within InterQual, MCG, or CMS guidelines, using large language models (LLMs) trained to understand and map patient data directly to the applicable authorization framework—eliminating the need for constant manual reference.
  • Intelligently route cases based on urgency, flagging high-priority or time-sensitive cases for immediate review, while categorizing lower-risk cases accordingly to optimize nurse workload distribution.
  • Enable real-time support through clinical chat assistants, which can answer reviewer questions about documentation, summarize patient history on request, or locate specific data points in the medical record—saving time and reducing cognitive load.
  • Standardize case outputs across reviewers and case types, ensuring consistency in how data is presented, interpreted, and acted upon.

The impact is immediate and measurable. Nurses begin reviews with the essential information already organized, supported by tools that minimize administrative overhead and reinforce clinical accuracy. What once took hours now takes minutes. Teams can handle higher case volumes without increasing staffing—and nurses are empowered to focus on clinical determinations, not paperwork.

A Call to Action for Health Plan Leaders

The reality is clear: manual summarization of complex medical records is one of the most persistent inefficiencies in UM. It consumes valuable clinical resources, slows authorizations, and increases the risk of burnout among nurses. The cost—both operational and human—will only rise as case volumes increase and medical documentation grows in length and complexity.

Health plan leaders have a choice: continue absorbing the costs of manual summarization or adopt AI solutions that deliver ready-to-review summaries while preserving full compliance and audit integrity. The technology is ready, the ROI is clear, and the benefits extend beyond efficiency to workforce well-being and member satisfaction.

It is time to remove the bottleneck that forces nurses to act as document compilers. Let AI handle the paperwork, intake complexity, and information retrieval. Let nurses focus on what they do best—making informed clinical determinations that ensure appropriate care and efficient use of healthcare resources.

Reach out to discover how Mizzeto is helping plans modernize their UM workflows – book time with our team here!

Sources

1. Prior Authorizations and the Adverse Impact on Continuity of Care

2. Influence of Prior Authorization Requirements on Provider Clinical Decision-Making

Jan 30, 20246 min read

August 21, 2025

2

min read

Article

Modernizing Intake with Prior Auth Automation

The Problem Hiding in Plain Sight

For health plans, few operational bottlenecks are as quietly persistent—and costly—as prior authorization (PA) intake. Every day, thousands of requests pour in through fax, email, portals, and clearinghouses. Yet despite the sophisticated systems built to handle medical necessity review, authorization routing, and compliance tracking, the starting point of it all—the intake process—is often neglected.

The reality is that many health plans still rely on fragmented, manual workflows to manage the flood of prior auth submissions. Intake teams are stuck toggling between scanned PDFs, legacy document management systems, outdated provider rosters, and multiple eligibility files just to determine if a request is complete and processable. The result is a slow, error-prone, resource-intensive gatekeeping function that delays care, frustrates providers, and drives up administrative overhead.

Ironically, most plans don’t struggle because they lack infrastructure. They struggle because their infrastructure was built to handle review—not to parse and process messy, unstructured incoming data. The core systems weren’t designed for the intake chaos of 2025, where information arrives in every format imaginable, and basic data like member ID, provider NPI, and service codes often require interpretation before integration.

This intake inefficiency sits upstream from every subsequent step—and yet it’s rarely prioritized. Why? Because fixing it has traditionally meant either adding manual labor or undertaking a high-risk replacement of core utilization management platforms. Neither path is attractive to CIOs or COOs already managing legacy migrations and regulatory deadlines.

But the cost of inaction is growing. With CMS’s 2026 Prior Authorization mandate (CMS-0057-F) tightening turnaround windows and requiring electronic PA capabilities, intake can no longer be treated as a clerical function. It’s the new front line of compliance and performance.1

diagram

Why Intake Inefficiency Is a Strategic Liability

While the pain of prior authorization delays is felt most acutely by providers and patients, the underlying operational burden falls squarely on health plans. When intake is slow or inconsistent, it doesn’t just delay care—it ripples downstream into nearly every facet of plan operations.

Incomplete or misrouted requests lead to longer turnaround times, increased denial rates, and a surge in resubmissions. Nurses are pulled away from clinical review to correct simple data entry issues. Providers call in to clarify missing details. Members wait longer for procedures or medications to be approved. And compliance risks mount as aging requests near regulatory deadlines.

According to the CAQH 2023 Index Report, manual prior authorization costs $13.40 more per transaction than its electronic counterpart, largely due to intake and rework inefficiencies . Yet over 88 million prior auths are still processed manually each year, with 80% of them initiated by fax or unstructured forms.2

Meanwhile, a 2022 American Medical Association survey found that 93% of physicians report care delays due to prior authorization, with 34% citing serious adverse events tied to those delays . The bulk of these delays are not caused by clinical complexity but by administrative friction at intake.3

This creates a strategic liability. Health plans are under increasing pressure to reduce administrative spending (which accounts for 15–25% of total expenditures) while improving provider experience and regulatory compliance . But none of those goals are achievable if the intake function remains slow, manual, and error-prone.4

The real cost isn’t just in labor—it’s in opportunity. Health plans are investing in automation, AI, and real-time decisioning tools. But these investments won’t yield full returns if they’re fed by an intake process that can’t reliably deliver clean, structured, validated data to downstream systems. In effect, sophisticated engines are being starved of usable fuel.

The Solution: Modernizing Intake Without Starting Over

The good news is that fixing PA intake doesn’t require a full rip-and-replace of your core UM system. In fact, the most effective path forward is often modular: implementing intelligent intake layers that sit alongside and integrate with your existing systems, without disrupting what already works.

This modern intake model starts with intelligent document processing. Using OCR tailored for healthcare forms, NLP trained on clinical data, and AI-powered classification engines, health plans can automatically extract structured information from scanned faxes, PDFs, and web forms with high accuracy. These tools go beyond traditional OCR, understanding context and flagging ambiguous or missing data for real-time resolution.

Next comes automated validation. As data is captured, it’s cross-referenced against the plan’s eligibility files, provider rosters, and benefit rules. Does the member exist and is coverage active? Is the provider in-network and authorized? Is the requested service a covered benefit—and does it require prior auth? These checks can now be performed instantly, ensuring only clean, actionable requests proceed to clinical review.

Critically, this new intake layer doesn’t replace your core UM platform. It augments it—feeding clean data into existing workflows, auto-generating work queues, and routing validated requests to the right teams. Most vendors offering intelligent intake solutions provide robust API integrations, ensuring compatibility with legacy systems and allowing gradual rollout across lines of business.

Some health plans are even piloting “zero-touch” intake models, where fully validated requests bypass manual review and move directly to rules-based auto-authorization. While not every case qualifies, even a 20–30% reduction in manual intake workload can deliver measurable ROI within months, according to McKinsey & Company.5

Importantly, these tools also support compliance. By logging when a request was received, when data was validated, and when it moved to review, plans can easily demonstrate adherence to CMS’s forthcoming 72-hour and 7-day turnaround requirements. And because the system ensures eligibility and provider validation before clinical review, the risk of improper denial due to administrative error is dramatically reduced.

Now Is the Time to Act

For health plan leaders, the message is clear: fixing prior authorization starts at intake. And in today’s environment, doing so doesn’t require overhauling your entire system architecture.

The technology exists. The regulatory pressure is building. And the return on investment—lower admin costs, faster approvals, improved provider satisfaction—is compelling. The real question is whether intake modernization will be treated as a strategic imperative or remain buried under more visible initiatives.

C-suite leaders should prioritize intake transformation as a foundational component of digital utilization management. That means investing in tools that turn unstructured faxes and PDFs into structured, validated data. It means automating eligibility and provider checks before clinical review. And it means doing all of this without disrupting the systems your teams already rely on.

As 2026 approaches, health plans that wait to address intake risk falling behind. Plans that act now can turn a persistent bottleneck into a competitive advantage.

At Mizzeto, we help health plans modernize UM intake—without ripping out their core systems. Our intelligent intake suite integrates seamlessly with your existing infrastructure, automating fax, form, and eligibility workflows so your teams can focus on decisions, not data entry. If you're preparing for CMS's 2026 mandate—or simply want to deliver faster care at lower cost—now is the time to act.

Let’s talk about what smarter intake could look like for your organization. Visit www.mizzeto.com or reach out directly to start your transformation.

Sources

1 CMS

2CAQH

3AMA

4Peterson-KFF Health System Tracker

5McKinsey & Company

Jan 30, 20246 min read

August 27, 2025

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