The Revenue Cycle Model Is Being Rebuilt And CFOs Are Leading the Way

By Brian Niederhauser, Chief Operations Officer at Revecore 

The revenue cycle has always been a reflection of broader healthcare pressures. When labor levels were more abundant and reimbursement rates were higher, a headcount-heavy model made sense. Today, neither of those conditions exist. What remains is a structural problem that more hiring and tighter workflows alone will not solve. 

Median health system operating margins held near 1% throughout 2025,¹ and expenses are rising at roughly 6% annually while revenue grows at only 3%.² For CFOs trying to protect cash flow in that environment, the revenue cycle is no longer a back-office function to be managed. It is a strategic lever to be optimized. 

That shift requires a fundamentally different operating model. 

The Staffing Equation Has Changed 

For most health systems, the default response to revenue cycle volume has been to add staff. More denials? Hire more follow-up billers. More complex claims? Expand the team. The problem is that this model was already strained before recent pressures accelerated the breaking point. 

Labor shortages affect 83% of healthcare leaders across the revenue cycle,³ and 90% of healthcare leaders report that revenue cycle labor challenges further exacerbate operations.⁴ Recruiting into these roles is harder and more expensive than it was five years ago, and the work itself has grown more complex as payer behavior has intensified. Payer audit volumes increased 30% year-over-year, with the average at-risk amount per audit rising 18%. ⁵ That is not a workload a hiring plan can absorb. 

The strategic response from leading health systems is to redesign where human judgment is actually required. The transactional, rules-based, high-volume work that has historically consumed the majority of revenue cycle staff hours is precisely where technology performs best and where the ROI case is clearest. 

Automation Is Moving From Pilot to Infrastructure 

The organizations seeing the best results are the ones treating automation as infrastructure by connecting it across the revenue cycle. 

Healthcare has been talking about AI and automation in the revenue cycle for years. What has changed is the scope and seriousness of deployment. 72% of healthcare executives report that technology, including automation and AI, is their highest priority for revenue cycle investment over the next 12 months, and 86% of health systems already report leveraging AI in some capacity. ⁴ 

The functions being targeted include eligibility verification, prior authorization, claims scrubbing, remittance posting, and denial routing. These are pattern-matching tasks that humans perform consistently but slowly, and that machines can perform at scale with fewer errors. 

What is more significant for CFOs is the shift happening further upstream. With claim denial rates at 11.8% of initial submissions in 2024, ⁷ and 65% of those denied claims never reworked, ⁸ the revenue that leaks at the back end is often gone for good. Machine learning models that flag at-risk claims before they are even submitted⁶ address the problem at the source. Preventing a denial costs a fraction of what it takes to appeal one after the fact.  

Strategic Outsourcing Belongs in the CFO's Playbook 

There has historically been discomfort around outsourcing revenue cycle functions. It can feel like a concession or admission that the internal team cannot handle the work. That framing is a strategic mistake, and the CFOs who have moved past it are building more resilient operating models. 

A more productive way to frame the decision is around complexity: whether certain revenue cycle functions can be executed cost-effectively at scale by an internal team alone. Complex claims, underpayments, and high-dollar denials all require deep payer-specific expertise that is difficult and expensive to maintain in-house. Specialized external partners absorb that complexity as their core competency, at a scale that internal teams typically cannot match.  

Healthcare revenue cycle outsourcing represents a $50–80 billion addressable market, ⁹ and the growth is being driven not by cost-cutting but by the recognition that certain work is better executed by entities built specifically for it. The CFO's role is to evaluate where that line sits for their organization and to ensure the partnership is governed by outcomes, not activity. 

The Metric That Makes This Work: Balancing Cost and Capture 

None of these structural changes — fewer people on manual tasks, broader automation, more strategic outsourcing — are justifiable under a cost-to-collect framework alone. 

Cost-to-collect answers a necessary question: how efficiently are we processing claims? But it leaves out a consequential one: how much revenue are we failing to capture? 

In today’s environment, that gap is material. When two-thirds of denied claims go unworked and underpayments from commercial payers drain 1–3% of net revenue annually, the financial impact of missed revenue often exceeds the savings gained from incremental cost reductions. 

An organization can optimize cost-to-collect and still underperform financially if revenue leakage is not addressed. 

A more complete view requires evaluating both sides of the equation: cost efficiency and revenue capture. That is where ROI becomes the unifying metric — it quantifies what prevention and recovery programs return and provides a clear basis for evaluating technology investments as a margin protection strategy. In an environment where every unrealized dollar matters, ROI captures the full financial impact of revenue cycle performance and the full cost of inaction. 

What the Next Model Looks Like 

The revenue cycle organizations that will perform best over the next three to five years share some common traits. Internal teams are focused on high-complexity, judgment-intensive work where expertise and accountability matter. Automation handles the predictable, transactional volume that previously consumed staff bandwidth. Specialized partners absorb the complex claims, underpayments, and escalated denials that require deep expertise to execute at a competitive level. 

Governance evolves alongside this model. Vendor relationships are measured on revenue recovered per dollar invested instead of cost containment or FTE productivity. Technology investments are evaluated against margin impact, not just efficiency gains. 

Leading health systems are building this model today. And the CFOs driving it are doing it because the current model — built on scaled headcount, measured on cost-to-collect, and poorly equipped for the complexity ahead — will not sustain performance in the environment they are already operating in. 

The structural evolution of the revenue cycle is not a trend to monitor. For CFOs who understand what is at stake, it is a mandate to act on.