GetixHealth Blog

The Self-Pay Inversion: Why Your Insured Patients Are Now Your Hardest Collections

Written by Alex Oey | Sep 23, 2026, 2:52:03 PM

Most self-pay workflows are built for the wrong patient. Somewhere between 80% and 90% of insured patients never exceed their deductible in a given year. That means a large share of your commercial volume is behaving financially like self-pay, and legacy statement-cycle workflows were built for a different problem.

Chris Spady, Senior Vice President of Revenue Cycle at Erlanger Health, put the shift in plain terms on the RCM Reframed podcast.

"It's gone from a difficulty in more than 5 or 10 years ago," said Spady. "A difficulty in patient collections from an uninsured to an extreme difficulty in patient collections from the insured."

Erlanger responded by rebuilding its self-pay approach starting in 2019. Self-pay AR shrank to roughly one-third of its prior size. Collections doubled. Charity went up. That combination contradicts the operating instinct most self-pay programs still run on.

The Center of Gravity Has Moved

The math behind the shift is unforgiving. Spady cited a Kaiser figure of roughly $27,000 for the average family premium. Employers pick up 75% to 80% of that, but employees still face $3,000 or more before coverage meaningfully engages. And somewhere between 80% and 90% of people never exceed their deductible in a given year.

That last number should sit on every self-pay planning meeting. The volume you are trying to collect from is not a small tail of high-utilizers. It is a large share of the commercially insured population. And Spady noted that best-in-class capture on patient-side balances is only about 30%.

Layered on top is household affordability. Spady noted that the average American can afford a roughly $400 to $500 unexpected expense. Against that backdrop, treating insured patients facing deductibles and coinsurance as a routine statement cycle problem misreads the population you are collecting from.


Why Statement Cycles Stopped Working

The instinct in most self-pay operations, especially under pressure to hit cash targets, is to run more cycles, add another dialer campaign, or extend the aging window. Spady rejects the premise directly based on Erlanger's own prior practice.

"If we make the pile bigger, we're going to collect more money," Spady said. "And I found the absolute opposite to be true."

Erlanger had roughly three times its current self-pay AR before the redesign. The pile was not producing more cash. It was producing more work, more patient frustration, and more aged inventory that eventually rolled to bad debt or charity anyway. As Spady put it, the ball was way too large to be successful.



The operator lesson is simple. A large self-pay AR is not automatically a signal of collection opportunity. It can be a signal of process failure. Aging inventory tells you the workflow did not secure commitment early enough, did not segment appropriately, and did not offer a structure the patient could actually engage with.

Auto-Enrollment by Day 60

Erlanger's operating change is concrete. The team tries to collect up front and get patients set up on an interest-free payment plan with the first payment taken that day. If a patient has not engaged after 60 days of statements, they are automatically moved to an interest-free payment plan, and the team engages them differently rather than continuing the same statement cadence.

The reasoning is not soft. Inertia is the enemy of self-pay collection, and passive statement cycles reinforce it. Patients are busy. Asking for help is uncomfortable. The complexity of the bill is genuinely hard to parse. Waiting for the patient to initiate a plan is waiting for the least likely outcome.

"We really push hard on interest-free payment plans." Spady said. "There's enough money going everywhere."

Erlanger uses a financer to make those plans zero percent to the patient and absorbs the fees on the provider side. Spady also emphasizes trusting charity policies and presumptive scoring rather than running full statement cycles before segmenting accounts. In his view, if you know on day one that a patient qualifies for charity, running 90 days of statements before applying that knowledge is expensive and pointless.

Auto-enrollment sounds like a workflow rule. In practice it requires a set of capabilities working together. Charity policies trusted to apply broadly. Financing structured so the patient pays no interest. Engagement channels beyond the statement, which for Erlanger includes different outreach paths rather than repeated mail. And the discipline to stop sending statements to accounts already routed elsewhere.

Card on File Is Not a Convenience Feature

Spady is clear that card-on-file is the operational hinge in payment-plan economics. He references the two dominant patient financing models. Recourse, where the provider carries the risk if the patient does not pay. No-recourse, where the financer carries it and the provider gets paid regardless.

The no-recourse premium is expensive, and Spady says fewer patients qualify for it, so Erlanger tends toward broader-access, lower-fee arrangements. But he takes the underlying lesson from the no-recourse model seriously. The backbone of that model is securing a card on file. That is what changes the reliability of payment-plan completion.

For RCM leaders evaluating patient financing options, this reframes the vendor conversation. The question is not just recourse or no-recourse. The question is whether the workflow is designed to secure a card on file at the earliest reasonable point, and whether the technology, scripting, and staff training support that outcome. Card-on-file is a risk management tool, not a patient-facing feature.

Compassionate Collections Is Not a Tradeoff

The result at Erlanger is the part that should get board attention. Self-pay AR shrank to roughly one-third of its prior size. Collections doubled. Charity went up. In Spady's own words, by treating patients better and honestly, with more compassion, they collected more.

Patient-friendly financing and yield are often framed as opposing forces. Erlanger's numbers point the other way. AR down to a third, collections doubled, charity up. Spady attributes the improvement to treating patients better, trusting charity policies and presumptive scoring, pushing interest-free plans, and working with partners on execution. Card-on-file and earlier segmentation are operational levers the interview suggests matter as well.

Spady is direct about the cost of the alternative. He said it is incredibly expensive to chase patients for money that for the most part, we know that they can't afford to pay. Structuring the collectible middle onto payment plans is where the cash sits.


The AI-Dispute Problem Is Already Here

The other operator reality Spady raised is worth flagging because it lands directly on PFS staffing. Patient disputes have changed shape. What used to be a one-paragraph complaint is now a four-page letter citing regulations, often generated with tools like ChatGPT.

Sometimes the letter has nothing to do with the actual mechanics of the balance. Spady describes cases where the cited concerns would not change the patient's balance even if fully addressed, because the balance is case-rate or DRG-based. Even so, these letters require thorough response, and Spady noted Erlanger sometimes has legal review the response before it goes out.

For PFS leaders, this is a staffing and workflow issue that arrived faster than most response protocols. Standardized response templates, escalation paths, legal review triggers, and staff training on how to answer regulation-citing correspondence without either dismissing the patient or overcommitting the organization all need to be in place. The volume is not going down.

What to Pressure-Test on Monday

The uncomfortable question for a VP of Revenue Cycle is whether the current self-pay workflow was designed for the population it is actually serving. If it was designed around uninsured accounts and got extended to insured high-deductible accounts by default, it is probably underperforming on both.

  • How many statement cycles does the average self-pay account see before it is resolved, moved to a plan, or written off? What is the marginal collection value of cycles three, four, and five, and what is the fully loaded cost of producing them?
  • At what point in the account lifecycle does presumptive scoring and charity segmentation actually fire? If it happens after 90 days of statements, the organization is paying to chase accounts it already had enough information to classify on day one.
  • What percentage of self-pay AR sits in active, structured payment plans versus statement cycles? If the plan enrollment number is small, inertia is doing most of the damage to yield.
  • What is the first-payment capture rate at time of service or first contact, and what is the card-on-file rate on active payment plans? These are the two metrics that most directly predict plan completion.
  • What is the self-pay AR aging mix by segment (presumptive charity, active plan, statement cycle, pre-bad-debt)? If the mix is dominated by statement cycle, the workflow is failing on day one.

Operators know the instinct to run more cycles when cash softens. The evidence from Erlanger is that the instinct is wrong for the population we are actually collecting from. Shrinking the pile, engaging earlier, offering structure instead of pressure, and trusting the segmentation produced a smaller AR, doubled collections, and more charity at the same time. The insured patient with a high deductible is the collection problem now. A workflow built for the uninsured is not going to solve it by running harder.