If your denial rates seem harder to explain than they did two years ago, you're not imagining it.
If Days in A/R are creeping upward despite adding staff, you're not alone.
If your billing team spends more time researching denials than resolving them, you're experiencing the same challenge confronting revenue cycle leaders across the country.
The denial landscape is changing—and many experts believe artificial intelligence is accelerating the pace of that change.
The Warning Signs Are Everywhere
Recent HFMA research paints a troubling picture for healthcare organizations. According to a 2025 HFMA survey, nearly half (48%) of revenue cycle leaders now identify denial volume as the single greatest threat to financial performance—ranking above declining reimbursement, labor shortages, and analytics gaps.
At the same time:
83% report appeals now take longer than they did three years ago.
Nearly 90% report payer requests for additional information have increased.
50% say requests for documentation and supporting records are significantly higher than one year ago.
61% anticipate growing difficulty hiring denial appeal specialists.
58% expect increasing difficulty recruiting denial analysts.
The message is becoming clear. Denials are no longer simply increasing in volume. They are becoming more complex.
The AI Question Nobody Is Talking About
Health plans are investing heavily in automation, predictive analytics, and artificial intelligence. To be clear, AI itself is not the problem. The problem is what happens when increasingly sophisticated payer systems meet increasingly complex reimbursement rules. Every new technology deployment creates a learning curve.
We saw it with EHRs.
We saw it with ICD-10.
We saw it with prior authorization platforms.
And now we're seeing it with AI-driven claims review.
As payers implement more automated adjudication tools, providers are encountering:
New edit logic
Expanded documentation requirements
More aggressive claim reviews
Greater use of medical necessity algorithms
Increasing requests for additional information
Some denials are appropriate. Others may represent system-generated decisions that require significant investigation and appeal. The result is a growing game of cat and mouse between payers attempting to automate payment decisions and providers trying to understand increasingly opaque reimbursement processes.
Are You Seeing These Symptoms?
For FQHC leadership, the challenge is that the problem rarely announces itself directly. Instead, it appears in the metrics.
Ask yourself:
Has your denial rate increased over the last 12 months?
Has your clean claim rate declined?
Are more claims being pended for information requests?
Have commercial payer denials increased?
Are your billers spending more time researching payer decisions?
Has Days in A/R begun trending upward?
Has A/R over 90 days increased despite stable patient volume?
Many organizations see these symptoms before they identify the root cause.
The Industry Is Reaching a Breaking Point
One quote from a recent Becker's discussion may be the most revealing assessment of the denial crisis: "Clinical denials are not a human-addressable problem anymore at this scale." That statement reflects what many CFOs and Revenue Cycle Directors are experiencing firsthand. Traditional denial management relies on adding people.
More denials? Hire another biller.
More appeals? Hire another analyst.
More documentation requests? Add another FTE.
But HFMA's findings suggest denial complexity is now growing faster than organizations can realistically staff for. This is exactly why many revenue cycle leaders are shifting their focus from denial management to denial prevention.
Why Staffing Alone Cannot Solve This Problem
Healthcare organizations have historically responded to denial growth by increasing labor. Unfortunately, the math no longer works.
According to HFMA research:
37.6% of leaders say their biggest challenge is determining which denials to prioritize.
More than half report they can identify payer trends but struggle to identify root causes.
Over 60% are turning toward automation as part of their denial strategy.
The industry's response is evolving because leaders increasingly recognize that hiring alone cannot keep pace with denial complexity. The future belongs to organizations that can:
Prevent denials before submission.
Identify payer trends earlier.
Prioritize high-value accounts.
Automate repetitive work.
Use analytics to uncover root causes.
Focus staff on exceptions rather than volume.
What This Means for FQHC Leaders
Community health centers operate with limited resources and mission-driven budgets. Every dollar delayed or denied represents resources that cannot be invested in patient care, staffing, access expansion, or community programs. That makes denial prevention more than an operational objective. It is a mission objective. As payer complexity continues to increase, FQHC leaders should be asking:
Do we understand our denial trends by payer?
Are our Days in A/R increasing because of denial activity?
Can we identify the root causes behind denial growth?
Are we measuring denial prevention or only denial recovery?
Do we have visibility into emerging payer behaviors before they become major financial problems?
The organizations that thrive in the next decade will not necessarily be the ones with the largest billing departments. They will be the ones with the best intelligence. Because the new denial challenge is no longer about working harder. It's about understanding the game faster than the other side changes the rules.
Complimentary FQHC Revenue Cycle Assessment
If your organization is experiencing rising denials, increasing Days in A/R, or unexplained reimbursement delays, a deeper analysis may reveal trends that standard reports miss.
Synergy Billing's complimentary Revenue Cycle Assessment helps FQHC leaders identify denial patterns, revenue leakage, payer-specific risks, and operational opportunities using their own performance data.
The goal isn't simply to work more denials. The goal is to prevent more of them from happening in the first place.