Over the decades, healthcare has achieved breakthroughs we once only imagined. We’ve mapped the human genome, shifted from paper charts to digital records, and introduced precision medicine.
Yet despite all this progress, we’re still battling a stubborn, costly reality: Claim Denials.
Yes, many denials are eventually overturned. But by then, the damage is already done.
Revenue gets tied up in claim adjudication. Staff spend hours chasing appeals. Administrative bandwidth disappears. Cash flow slows.
For small and independent practices operating on lean teams and tight margins, the impact cuts deeper. A sudden spike in denials can disrupt payroll planning, stall investment plans, and divert staff from strategic, revenue-generating work.
So what actually caused the most denials in 2025? And how can you mitigate them in 2026 before they snowball into accounts receivable (A/R) problems?
Claim denials used to be an occasional headache. Today, they’ve become a measurable threat to healthcare practices, and the data paints a clear picture of how serious the problem has become.
In 2025, 41% of healthcare providers reported that at least one in ten of their claims were denied, up from 38% in 2024 and 30% in 2022.
Moreover, nearly half (48.2 %) of healthcare leaders say denials from commercial payers pose the greatest threat to their revenue cycle.
Fortunately, nearly 90% of claim denials are preventable with the right processes and controls in place. And when they do occur, more than 70% can be successfully overturned when appealed.
But here’s the catch: even “recoverable” denial comes at a cost.
According to Premier, healthcare organizations spent an estimated $25.7 billion contesting denied claims. And that number reflects only the direct financial impact. The indirect costs are just as damaging: staff hours diverted to rework, leadership time spent troubleshooting payer issues, and a slowed cash flow while claims sit in limbo.

Impact of Claim Denials
Denials aren’t random. They leave fingerprints.
If you want to reduce them, you target the patterns behind them. The real leverage lies in fixing the handful of issues that account for the majority of lost claims.
Let’s break down the most common reasons claims were denied in 2025, and where practices need to tighten their processes.
If there’s one mantra that still holds in revenue cycle management, it’s this: clean claims get paid faster.
But keeping claims “clean” isn’t as simple as it used to be. Nearly 7 in 10 providers report that submitting accurate, error-free claims is more challenging today than it was a year ago, largely due to the increasing complexity of payers and stricter edits.
According to the State of Claims report by Experian Health, incomplete or inaccurate claims data ranked as the top reason for denials in 2025. These denials often stem from inaccuracies such as:
What makes this category especially frustrating is that most of these denials are entirely preventable. They originate upstream, long before the payer reviews medical necessity.
Nevertheless, you can eliminate these errors in 3 easy ways:
Prior authorization (PA) breakdowns remain one of the most expensive and operationally disruptive denial drivers.
In 2024, Medicare Advantage insurers fully or partially denied 4.1 million prior authorization requests. That’s not a marginal issue; it’s a systemic pressure point.
Verification has become critical for two major reasons:
And here’s what makes this even more complex:
Here are strategies that will help mitigate denials tied to prior authorization compliance failures:
Embed authorization checks into scheduling
Make prior auth verification non-negotiable at two points:
No visit should proceed without a clear prior authorization status: not required, pending, or approved. If approval has been granted, record the authorization number accurately and link it to the scheduled service. This robust workflow design prevents last-minute scrambling and costly retro-authorization attempts.
Track authorization validity and scope
Prior authorization errors occur not only due to missing approvals, but also due to expired or mismatched approvals.
Maintain a centralized authorization log that captures:
Set automated alerts for expirations, diagnosis mismatches, or service limit overages so staff can correct issues before the patient visit.
Automate with ePA Tools and AI
Replace manual, paper‑based authorization processes with structured electronic prior authorization (ePA) tools integrated with your EHR and practice management system.
Automation reduces reliance on phone calls and faxes, minimizes manual follow-up, and creates stronger audit trails. When implemented effectively, ePA significantly reduces turnaround times, lowers authorization-related denial rates, and improves documentation completeness.
AI simplifies PA further. Advanced AI-enabled systems can:
Over time, machine learning models can also analyze historical denial patterns, identify recurring pain points, and help teams avoid repetitive errors.
Nearly 3 in 10 providers report that 10% or more of their denials originate during patient intake and registration. These denials often stem from subscriber–patient mismatches, such as:
These may seem minor, but even a single incorrect digit in a member ID can trigger an automatic rejection. To mitigate intake-related denials:
Coding errors remain a significant contributor to denials, accounting for approximately 24% of claim rejections in 2025. Heightened payer scrutiny and evolving coding edits have narrowed the margin for error, leaving little room for even minor discrepancies.
Common coding-related denial drivers include:
Medical coding continues to grow complex, and relying solely on manual processes can delay claim submission and increase errors. Here’s a more effective approach to reducing coding-related denials:

Strategies to Prevent Common Claim Denials
Insurance verification is a routine step in every patient visit. And yet, coverage-related denials remain one of the most common reasons insurance claims are rejected.
So where’s the real breakdown?
The issue often isn’t that verification isn’t happening; it’s how and when it’s happening.
Coverage can change between the time an appointment is scheduled and the date of service. Employers switch plans. Patients transition to new Medicare Advantage products. Medicaid eligibility fluctuates. Coordination-of-benefits details shift.
If verification is done only once and not rechecked, outdated information slips through. Common root causes for coverage-related denials include:
In many cases, the information in the system appears complete, but it’s no longer current. Eligibility is time-sensitive, and even small coverage changes can result in preventable denials. To ensure accuracy:
Even when patient information is accurate, prior authorizations are secured, coverage criteria are verified, and codes are correctly assigned, denials can still occur.
Sometimes, it's a simple mistake: insufficient clinical documentation.
According to the KPI Benchmarking Report from Kodiak Solutions, the initial denial rate tied to “request for information” (RFI) increased to 3.6% in 2025 compared to 3.4% the previous year. The uptick suggests documentation gaps are becoming a more visible trigger for payer scrutiny.
Insurance companies often reject claims upfront due to:
Here are strategies that ensure you get your documentation right the first time:
Proactive documentation and smarter tools can significantly reduce avoidable RFIs and prevent revenue leaks.
If 2025 was defined by rising denials, tighter payer scrutiny, and mounting administrative pressure, then 2026 must be the year you take control back.
Glenwood Systems' advanced revenue cycle management tools are designed to help practices move from reactive denial management to proactive denial prevention. With integrated patient eligibility verification, automated prior authorization workflows, intelligent claim scrubbing, and real-time denial analytics, practices gain visibility into problems before they impact cash flow.
Control isn’t regained by chance. It’s built; one stronger process at a time.
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