Revenue cycle management has historically been labor intensive, demanding work. What has changed is the pace at which it is getting harder. According to the American Medical Association's 2025 prior authorization survey, physicians now complete an average of 40 prior authorization requests every week, and three-quarters report that denial rates have increased over the past five years.
Meanwhile, according to data published by the AHA in January 2026, Medicare Advantage insurers processed nearly 53 million prior authorization requests in 2024, up from 49.8 million the year before. Of those, 4.1 million were denied in full or in part, a pattern that reflects how systematically payers are raising the bar on reimbursement.
The technology available to revenue cycle teams has never been more capable, and that combination of intensifying pressure and expanding capability is where much of the uncertainty sits. What to prioritize, how to bring staff along and what a well-run operation looks like in this environment are not simple questions, but they have practical answers.
The case for moving upstream
Revenue cycle operations have traditionally been managed from the back: claims go out, denials come in, and teams work the queue. This model runs into trouble when the volume and complexity of denials outpace the capacity to respond, and many practices are already there.
High-performing organizations are starting to treat the front end of the revenue cycle as the primary control point. Accurate eligibility verification, benefits confirmation and prior authorization handled at the point of scheduling lead to fewer downstream denials.
It also addresses one of the more damaging recent developments in payer behavior: post-payment recovery. This is where claims that have already been settled are pulled back during audits because of specific documentation or authorization gaps. By the time a recoupment arrives, the encounter may be months old and costly to reconstruct.
Practices that use payer data at the front end of the process are better positioned to understand not only whether a patient is covered, but also what is specifically required for referrals and authorizations before the appointment. Real-time cost estimation runs alongside this, giving patients clarity on their financial responsibility upfront and reducing the friction that compounds into unpaid balances later.
“The biggest opportunity in RCM right now is to stop treating the front end as groundwork and start treating it as the primary control point. Eligibility, benefits verification and authorization at the point of scheduling have always mattered, but they've often been handled reactively. With the volume and complexity of denials we're seeing today, that work has to be done before the encounter, because by the time a denial comes back, the window to prevent it has already closed.” – Nancy Ruff-Williams, senior vice president, Revenue Cycle Managed Services, NextGen Healthcare
Automation and the people who use it
Automation does trigger some anxiety in billing teams, and organizations that treat this as an irrational response are more likely to find their implementations stall. The staff working the denial queue every day often have the deepest understanding of where the problems are. Getting them involved in shaping the process often separates successful rollouts from the ones that do not go very far.
A good example comes from Vision Innovation Partners, a PE-backed multispecialty ophthalmology group with more than 150 providers operating up and down the East Coast. The organization implemented a pre-scrub rules engine in its practice management system three years ago, with the goal of catching potential denials before claims reached the payer.
Resistance from the billing team was immediate, but not treated as irrational. The instinct was that experienced billers knew better than any automated rule, and it took around 18 months before genuine buy-in came. What ultimately changed their minds was not a management directive, but seeing the same denials land repeatedly and recognizing that a rule preventing them upstream was a better use of everyone's time than working them after the fact.
The billing leads are now actively building and refining those rules. Denial rates have dropped about 50% over the past few years, and the cost to collect is down 30% to 40%.
More recently, Vision Innovation Partners deployed AI in its financial services department to handle billing call volume. With a team of four managing 25,000 statements a month, the workload was unsustainable. The AI agent now resolves around half of those calls without human involvement, freeing the team to concentrate on cases that need their judgment.
“Put a denial in front of five billers and you'll get five different answers on how to work it. That subjectivity is what the automation removes. Once the team saw that the rules were catching things they'd been working reactively for years, they stopped seeing it as a threat. Now they're the ones building it.” – Stacey Heater, associate director of revenue cycle, Vision Innovation Partners
Turning data into decisions
One of the more significant changes in how strong RCM teams operate is the move away from narrative reporting toward live metrics. Rather than summarizing what happened last quarter, they run denial rates by payer, by clinician, and by procedure code every month, and use that data to act instead of explain.
A useful organizing principle is the distinction between avoidable and unavoidable denials. Avoidable ones stem from something within the practice's control, such as a missed modifier, an eligibility gap or an authorization that was not obtained. Unavoidable ones reflect payer behavior that could not have been anticipated. Drawing that line allows teams to stop spreading effort equally across everything and focus on what they can change.
The payer dynamic makes this more urgent than it once was. Insurers are using AI to adjudicate and deny claims at a speed that reactive, manual operations cannot match. A denial triggered by an automated payer system can land and sit in a queue for weeks while cash flow suffers. Practices that have built equivalent automation on their own side, covering clean claim submission, charge review, denial prediction and autonomous coding, are at least entering that exchange on comparable terms.
Building an operation that holds up under pressure
What separates organizations that manage all of this well from those playing catch-up is not one technology or one hire – it is whether accountability for revenue cycle performance runs across the whole operation, or only through parts of it.
In practice, that means front desk staff understanding how accuracy at check-in affects denial rates weeks later, and RCM teams maintaining the kind of relationships with vendors and payers that provide early warning when coverage criteria or coding requirements change.
It also means monitoring contracts continuously rather than only at renewal, and using performance data to inform payer negotiations. A model built this way is resilient enough that when a payer changes its rules overnight, the practice can absorb and adapt rather than scramble.
The workforce picture is part of this too. Automation does not eliminate the need for skilled RCM staff, but it changes what those staff are doing. The balance of their work shifts toward analytical judgment and active payer management, and away from the repetitive processing that automation handles more reliably anyway. The practices that have navigated this well have been able to cut costs and redirect expertise toward the work that most requires it.
“The practices that pull ahead won't simply be running their current processes more efficiently. They will have rebuilt how accountability works across the revenue cycle, with shared ownership from scheduling through final adjudication, rather than fragmented handoffs and fixes that happen too far downstream to matter.” – Nancy Ruff-Williams, senior vice president, Revenue Cycle Managed Services, NextGen Healthcare
NextGen Healthcare is the technology partner for diverse ambulatory practices with evolving business needs. Learn more at NextGen.com.