Article

Modernizing Intake with Prior Auth Automation

  • August 12, 2025

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 Intake teams are stuck toggling between scanned PDFs, legacy document management systems, outdated provider rosters, and multiple eligibility files just to determine if a request is complete and processable.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

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

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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

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

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 12, 2025

2

min read

Article

Modernizing UM Intake

Modernizing UM Intake

For health plans seeking to modernize utilization management (UM), streamline operations, and meet the evolving expectations of regulators and providers alike, one core issue remains persistently overlooked: the absence of integrated, real-time validation within the UM intake process.

Each day, thousands of prior authorization (PA) requests arrive via fax, web portals, and clearinghouses. Before a nurse or decision engine can determine whether a service is medically necessary, the system must first answer a more fundamental question: Is this member eligible for coverage — right now, for this service, from this provider?

Surprisingly, this foundational step is still often handled manually, inconsistently, or retroactively. The result? Delays, denials, and widespread frustration across the healthcare ecosystem.

Intake is not a back-office task. It is the gateway to care. Without embedding real-time validation at this crucial entry point, the rest of the UM process — no matter how advanced — remains inefficient, error-prone, and reactive.

Why This Remains a Problem in 2025

On paper, eligibility verification should be simple. Health plans maintain detailed member rosters and benefit files. Providers know their patients and the services they’re requesting. Yet in practice, the data submitted — often via scanned faxes or portal uploads — frequently doesn’t match what’s on file.

Typos, outdated coverage, incomplete fields, and mismatched provider information are routine. When a request arrives with a missing member ID or an out-of-network provider, the workflow stalls. Intake staff are forced to search across multiple systems or call provider offices for clarification. What should take seconds can drag into days.

The problem is compounded by the fact that many health plans treat eligibility and provider validation as a downstream function — something checked only after clinical review has begun. This leads to wasted clinical resources, avoidable denials, and costly rework that strains provider relationships.

The impact is significant. Delays in eligibility confirmation are a leading cause of pended or returned prior authorization requests. When plans can’t confirm who the member is, what their benefits include, or whether the provider is in-network, decisions are delayed or denied entirely. This drives up call center volume, inflates administrative costs, and erodes trust with both providers and members.

With prior authorization already under scrutiny for creating access barriers, these avoidable intake failures represent a growing risk — operationally, financially, and reputationally.

A Modern Solution: Embedded, Automated Validation at Intake

The solution begins by reimagining intake as more than just document collection. It must become a real-time eligibility engine.

As faxes, PDFs, and form submissions are received, their data should be immediately digitized, validated, and cross-referenced against the plan’s enrollment and provider systems — before clinical review begins.

The first step is intelligent data capture. Using tools like optical character recognition (OCR), AI-powered form parsers, or integrated EDI feeds, intake systems can now reliably extract key fields such as member name, ID, date of birth, service requested, and provider NPI. Any uncertainty or inconsistency should automatically trigger flagging or human review.

Once extracted, real-time eligibility and provider validation can occur. The system checks whether the member is active for the requested date of service, whether the provider is in-network, whether the benefit covers the requested service, and whether prior authorization is required at all.

Done well, this validation happens in seconds. Clean, accurate requests are routed directly to clinical review — or even automatically approved based on rules. Errors are flagged for correction or returned to the provider with clear guidance, eliminating long-cycle rework.

Leading health plans are beginning to treat these validations not as post-intake audits, but as real-time filters. This ensures that only actionable, member-matched requests move forward. Intake teams and nurses spend less time correcting data, and more time making decisions. Turnaround times improve, and providers experience fewer frustrating delays.

The business value is clear. Plans that have implemented real-time validation of member, provider, and benefit information report a 30–50% reduction in pended requests due to data errors, a 25% improvement in turnaround times, and significantly lower call center burden. These changes directly improve provider satisfaction and help meet regulatory expectations — especially in states adopting prior authorization transparency laws.

Strategically, embedding validation checks at intake reduces the total cost of ownership for UM systems. With fewer unnecessary clinical reviews and resubmissions, plans can achieve more with leaner staffing while maintaining or increasing throughput. That’s not just operational efficiency — it’s defensible ROI.

Why Now Is the Time to Act

For health plan executives, the takeaway is simple: validating member, provider, and benefit data is no longer a task for the call center. It’s a critical enabler of modern utilization management and should be treated as such.

The technology is ready. OCR and AI can accurately digitize most intake documents. APIs can perform real-time queries to enrollment and provider databases. Provider directories are becoming increasingly standardized and accessible. The obstacle isn’t technical — it’s organizational focus.

As health plans invest in broader digital transformation — from automated decision engines to generative AI support tools — they must not neglect the foundation. A truly intelligent UM process begins with intelligent intake.

That means ensuring the request is clean from the start: the right member, the right benefits, the right provider. Once that’s established, every subsequent step — clinical review, approval, communication — can proceed faster, with greater confidence.

Plans that prioritize this foundational step today will be better positioned to reduce administrative costs, meet regulatory mandates, and deliver faster, safer care. In an environment where delays can have real clinical consequences, getting the first step right has never been more important.

It’s time to modernize eligibility and validation checks — and unlock the full potential of utilization management.

Jan 30, 20246 min read

August 5, 2025

2

min read

2026 Prior Authorization Mandates

Navigating CMS’s 2026 Prior Authorization Turnaround Time Mandates

Health plan leaders are approaching a pivotal deadline in utilization management. Beginning on January 1, 2026, new federal regulations from the Centers for Medicare & Medicaid Services (CMS) will significantly reduce the turnaround times for prior authorization decisions. These changes stem from the CMS Interoperability and Prior Authorization Final Rule (CMS-0057-F), which aims to streamline approval processes and improve timely access to care. Under this rule, Medicare Advantage plans, state Medicaid agencies, managed care plans, CHIP programs, and exchange-based Qualified Health Plans must respond to expedited prior authorization requests within 72 hours and standard requests within seven calendar days.

Historically, prior authorization processes could extend up to 14 days, making this change particularly impactful for health plans. CMS projects these accelerated decisions and electronic processing will save approximately $15 billion over ten years by reducing administrative inefficiencies. Given the magnitude of this regulatory shift, utilization management (UM) directors and chief medical officers need to rapidly adjust their operations, technology infrastructure, staffing, and reporting mechanisms to ensure compliance.

Background and Rationale of the New Requirements

Prior authorization delays have long hindered patient care by postponing necessary treatments. Acknowledging these persistent issues, CMS finalized the 2024 Interoperability and Prior Authorization Rule to promote quicker, more transparent decisions. The rule standardizes response times, sets clear expectations for denial explanations, and mandates annual public reporting of key authorization metrics, including volumes and average decision times.

Simultaneously, CMS is pushing health plans towards broader adoption of electronic prior authorization and interoperability standards, specifically through FHIR-based APIs to be fully implemented by 2027. This digital transformation seeks to eliminate outdated practices like faxed or phone-based authorizations, dramatically modernizing utilization management processes.

Operational Changes in Utilization Management

The new turnaround requirements compel health plans to thoroughly reengineer their prior authorization workflows. Health plans must now swiftly triage incoming authorization requests, classify them as urgent or routine, and ensure rapid, proactive outreach to providers if necessary information is missing. Many health plans are proactively reassessing the necessity of prior authorizations for lower-risk services, thus reducing the total number of requests requiring manual intervention.

Automation has become critical. Leveraging rules-based decision-making tools, health plans can automatically approve routine, evidence-based requests, significantly reducing turnaround times. This digital integration also supports real-time processing, reducing the administrative burden and allowing clinical teams to concentrate on complex or ambiguous cases.

Technology Infrastructure Improvements

Meeting these new CMS requirements is as much a technology challenge as it is operational. Transitioning from legacy systems to fully digital, API-driven solutions is essential. Health plans are rapidly adopting HL7 FHIR standards, enabling electronic submissions and automated responses directly integrated within providers' electronic health records (EHRs).

Implementing these advanced technologies requires significant investments in IT infrastructure and data management capabilities. Health plans must ensure accurate data mapping, consistent clinical documentation, and robust privacy and security controls. Successful technological transitions not only meet compliance but also offer considerable long-term operational efficiencies.

Workforce Implications

These tighter turnaround requirements directly affect staffing strategies within utilization management departments. Health plans may need to increase staffing levels, cross-train employees, or introduce additional shifts, including weekend or holiday coverage, to manage expedited cases effectively. Moreover, clinical staff will need to clearly document and communicate reasons for denials, enhancing transparency and reducing confusion for providers.

Enhanced Reporting and Accountability

Increased transparency is a central aspect of the new regulations. Beginning in 2026, health plans must publicly report comprehensive prior authorization metrics. This unprecedented level of public accountability is expected to drive continuous performance improvement and foster competitive differentiation among health plans based on their efficiency and responsiveness.

Internally, enhanced data reporting capabilities will be crucial. Health plans are developing automated systems to track, report, and analyze prior authorization metrics. Regular analysis of these metrics will help identify performance bottlenecks, inform process adjustments, and improve provider interactions.

Impact on Member and Provider Experience

The anticipated improvements from these regulatory changes promise substantial benefits for patients and providers alike. Faster decisions will reduce delays in essential treatments, and clear explanations for authorization denials will enable more effective clinical decision-making. Providers, integrating authorization processes into their EHR workflows, will find the prior authorization process less burdensome, enhancing overall provider satisfaction and clinical efficiency.

Members will experience improved transparency and predictability, positively influencing their overall healthcare experience. As health plans continue to refine these processes, consumer trust and satisfaction are expected to increase significantly.

Preparing for Successful Implementation

Health plan leaders should:

  • Conduct comprehensive assessments of current authorization workflows.
  • Accelerate adoption of advanced interoperability and API technologies.
  • Invest in adequate staffing and robust training programs.
  • Establish strong internal reporting and analytics infrastructure.
  • Proactively engage and educate providers about new processes and expectations.

By embracing these strategies, health plans will not only comply with CMS mandates but also position themselves as industry leaders in utilization management.

Conclusion

The CMS 2026 prior authorization regulations mark a substantial shift towards quicker, more transparent, and patient-centered healthcare processes. While the transition poses challenges, the long-term benefits—enhanced efficiency, improved patient care, and stronger provider relationships—make the effort worthwhile. Health plan leaders who proactively adapt and innovate will set new standards in utilization management, ultimately benefiting providers, members, and the broader healthcare community.

Sources

  1. CMS Interoperability & Prior Authorization Final Rule (CMS0057F) – details on turnaround timelines, denial rationale requirement, API deadlines CMADocs+15Centers for Medicare & Medicaid Services+15K&L Gates+15MCG Health+6Epstein Becker Green+6CMADocs+6Leavitt Partners An HMA Company+1Centers for Medicare & Medicaid Services+1The Guardian
  1. AMA insights and industry pledges – scope reduction, transparency goals, continuity of care commitments American Medical Association+4American Medical Association+4The Guardian+4

Jan 30, 20246 min read

July 22, 2025

2

min read

Strategic Impact of Federal Medicaid Cuts

Strategic Impact of Federal Medicaid Cuts

Congress recently passed significant Medicaid cuts as part of the "Big Beautiful Bill," reshaping the financial landscape for healthcare providers and health plans nationwide. These funding reductions profoundly impact healthcare stakeholders, affecting Medicaid eligibility, provider reimbursements, and overall healthcare access. This article examines these cuts in detail, highlighting strategic insights for health plan executives.

Breakdown of the Medicaid Cuts

The Congressional Budget Office (CBO), analyzed extensively by KFF, forecasts substantial federal Medicaid spending reductions over the next decade, estimating a nationwide reduction of approximately $500 billion over ten years. Most states will experience an average decrease of about 13%, with some states facing cuts ranging from 7% to as high as 18%. These funding reductions specifically target expansion populations, managed care rates, and provider reimbursement structures.

Picture 1, Picture

Impact on Health Plans

Health plans will experience both immediate and long-term effects from these Medicaid cuts. Increased member churn and enrollment volatility are likely outcomes, given that tightened eligibility criteria will cause individuals to frequently cycle in and out of Medicaid. This scenario increases administrative burdens, eligibility verification costs, and outreach expenses aimed at retaining eligible members. Furthermore, maintaining continuity of care and managing member health outcomes amid these disruptions will pose additional challenges.

Financial forecasting and risk management will become even more critical. Health plans must adjust their actuarial assumptions, premium rate-setting, and risk adjustment methodologies to account for potential revenue fluctuations and changing risk profiles. Contingency planning will be essential to navigate financial uncertainties resulting from decreases in enrollment.

Operational efficiencies will also become imperative as budgets tighten. Health plans will need to strategically invest in automation and advanced analytics to reduce administrative overhead and streamline core processes like utilization management (UM) and claims processing. Emphasizing preventive care and chronic disease management programs will also help lower costs associated with emergency and acute care services.

Provider-Side Implications

Providers will encounter significant reimbursement pressures due to reduced Medicaid funding, impacting care delivery and financial stability. Health plans will need to proactively manage potential narrowing of provider networks as reimbursement rates decline, which may increase provider contract negotiations. To mitigate these pressures, innovative value-based payment models and alternative reimbursement structures can incentivize quality outcomes and help stabilize provider networks.

Network adequacy and provider stability will become central concerns, as reimbursement cuts could lead to provider attrition from Medicaid networks, jeopardizing access to care for Medicaid members. The increased demand for essential providers, such as behavioral health specialists and primary care physicians, will further complicate network adequacy. Collaborating closely with providers on shared-risk arrangements can help stabilize networks and ensure continuity of care.

State-by-State Variability

The Medicaid cuts vary significantly across states. High-impact states such as California, Texas, and New York face larger proportional reductions, intensifying pressures on local health systems and requiring more strategic adjustments. In contrast, lower-impact states like Wyoming, Florida, and Alabama may have greater flexibility in transitioning their Medicaid operations. Health plan executives must closely analyze state-specific data to accurately project regional impacts and tailor responses accordingly.

Forward-Looking Strategic InsightsTo effectively respond to these Medicaid cuts, health plans should consider several strategic actions. Embracing value-based care models can stabilize revenue streams and improve patient outcomes by reducing reliance on fee-for-service reimbursement structures. Investing in digital transformation, including advanced analytics, automation, and artificial intelligence (AI), will enhance operational efficiencies, streamline UM processes, prior authorization, and claims processing.

Enhancing provider partnerships is another critical strategy. Health plans should explore shared-risk arrangements and provide resources to support providers in navigating financial pressures and improving operational efficiencies. Additionally, implementing robust member engagement and outreach strategies can help mitigate churn by proactively communicating eligibility criteria, renewal processes, and preventive care resources. Enhanced digital tools can further simplify member interactions and improve overall satisfaction.

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Conclusion

The Medicaid cuts implemented under the "Big Beautiful Bill" represent a significant shift in the Medicaid landscape, requiring health plan executives to make critical strategic decisions. By proactively addressing enrollment volatility, reimbursement pressures, operational efficiencies, and provider stability, health plans can navigate these reductions effectively and maintain the quality of care delivery.

Health plans that embrace innovation, strengthen provider partnerships, and enhance operational agility will be well-positioned to manage the impact of these Medicaid cuts and emerge stronger in an evolving healthcare market. At Mizzeto, we specialize in helping health plans adapt to market disruptions through smart automation, AI-powered operational tools, and expert staffing solutions. Whether you're reevaluating your UM workflows, navigating reimbursement shifts, or planning for churn-driven outreach, our team is here to help you build resilient, cost-efficient systems.

Sources:

https://www.kff.org/medicaid/issue-brief/allocating-cbos-estimates-of-federal-medicaid-spending-reductions-and-enrollment-loss-across-the-states/?utm_source=chatgpt.com

https://www.investors.com/politics/one-big-beautiful-bill-act-president-trump-tax-cuts-medicaid-spending/?utm_source=chatgpt.com

https://www.wsj.com/health/healthcare/medicaid-cuts-healthcare-trump-bill-7236d5e6?utm_source=chatgpt.com

https://healthjournalism.org/blog/2025/07/trumps-budget-bill-could-cost-lives-put-5-million-in-debt-how-to-cover-the-story/?utm_source=chatgpt.com

https://www.americanprogress.org/article/the-truth-about-the-one-big-beautiful-bill-acts-cuts-to-medicaid-and-medicare/?utm_source=chatgpt.com

https://www.cbo.gov/publication/61469?utm_source=chatgpt.com

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