The $4.5 Billion Question

Transcript

A health plan pays a claim. But… what actually happens when it pays the wrong amount?

This is Healthcare Power Ups, a podcast that looks underneath healthcare operations to understand the people, processes, technology, and economics that make the system work.

I mean, think about a plan with 100,000 members. Every single day, thousands of claims pour in. Surgeries, doctor visits, lab tests, prescriptions. And behind every single claim is this incredibly tangled web of rules. Is the provider in network? Was authorization required? Which fee schedule applies? Did someone double bill? Was another insurer actually responsible?

Eventually, the system answers the big question: how much should be paid? And the money goes out the door. Except… sometimes the answer is just plain wrong.

Historically, healthcare dealt with this in a pretty unusual way. It was called pay and chase. The plan would adjudicate the claim, price it, pay it… and then, months later, send the paid claims data to an audit team to look for mistakes. Find an overpayment, investigate it, confirm it, and then go back to the hospital or doctor and say, hey… remember that money we sent you six months ago? Can we have some of it back?

But here is the catch. Once money leaves the building, getting all of it back is nearly impossible. Experts at Sagility estimate that once a payment goes out, a health plan loses roughly 20 percent of that identified opportunity. Gone. Simply because not every dollar can ultimately be recovered. And that is before you even count the administrative cost of chasing it down, managing offsets, and adjusting claims.

When I was starting out in healthcare IT, learning how hospital systems and claims engines talk to each other… I remember looking at that post payment audit loop and thinking, why on earth are we doing the inspection at the very end? It felt like placing a quality inspector at the end of a 50 mile assembly line… long after all the parts have already been welded together and painted, and asking them to find defects in the finished car.

So the industry moved toward what we call prepay. Catch the error before the check is mailed. If you catch it after the money leaves, that is recovery. If you catch it before, that is savings. Sounds great, right?

But prepay can be a bit of an illusion. Because traditional prepay still lets the claim travel almost the entire journey. The claim was received, processed, priced, and approved. Prepay was just one final sweep right at the exit door. Better than pay and chase, sure… but why wait until the very end of the line at all?

And when you look at the actual operational volume, the reality might surprise you. In an internal operational review, Sagility analyzed its volume and found it was processing roughly 8.5 million prepay claims, compared to about 3.2 million post pay claims.

Think about that ratio. Eight point five million versus three point two million. Prepay is not some secondary add on anymore. It has quietly become the primary operational engine of payment integrity. But catching things at the end of the line… even right before payment… still leaves us asking the wrong question.

The Two Point Five Percent Margin Paradox and Upstream Intelligence

To understand why this matters so deeply, you have to look at health plan economics. And… let us be honest, health plan math is notoriously unforgiving.

Imagine a single premium dollar. The vast majority of that dollar goes directly to pay for medical care. Then you have administrative costs, operations, technology. What is left over as operating margin can be remarkably tiny. In illustrative models used by payment integrity teams, a health plan might operate on a margin of roughly two and a half percent.

Two and a half percent! That is a razor thin edge between breaking even and losing money.

Now… imagine payment integrity reduces overall medical expense by just one percent. One percent does not sound like a revolution, right? But relative to a two and a half percent operating margin? In concrete terms, that one percent reduction can equate to approximately 100 dollars per member per year. Applied across a plan, that can literally double the plan’s operating margin.

So here is the paradox. If fixing payment errors has that kind of massive financial leverage… why does not every health plan instantly revamp its entire payment integrity setup?

Because of the trust sale dilemma.

If you are an executive responsible for a health plan operating on a razor thin margin, and someone comes in and says, hey, we can transform your payment integrity, but it requires changing the core processes handling hundreds of millions or billions of dollars in medical spend… you freeze. If the new process works, profitability jumps. But if it disrupts daily claims flow or creates provider friction? The downside could destroy your margin overnight.

Payment integrity is never just a technology sale. It is a trust sale.

Which brings us to what I call the four point five billion dollar question. During an internal discussion at Sagility, the payment integrity team looked at the total financial impact generated across all client operations in a single year, 2025. People tossed out guesses. Fifty million? Five hundred million?

The actual figure was four point five billion dollars.

Four point five billion. Even people inside the organization were amazed, because that work was happening quietly embedded inside claims processing, audits, prepay sweeps, and specialty lines across multiple clients. It was not sitting in one isolated box labeled payment integrity. It was everywhere.

Look at specialized areas like workers compensation and motor vehicle accident claims. By reviewing claims and medical records before payment, that specialized operation alone delivered approximately 950 million dollars in savings in one year.

But here is the real shift happening right now. Healthcare operations used to be measured purely by activity. How many claims did you process? How many calls did you answer? How many records did you review?

With advanced analytics and AI, the metric shifts from activity to outcome. What did the operation actually accomplish? Did it prevent unnecessary medical spend?

And once you focus on outcomes, payment integrity stops being an audit at the end of the line. It moves all the way upstream. Into provider contract configuration. Into benefit design. Into authorization workflows and credentialing.

Think of it this way. First step: find the wrong payment. That is post pay recovery. Second step: stop the wrong payment. That is prepay. Third step: prevent the conditions that created the error in the first place. That is true system transformation.

The goal is not just building a better net to catch mistakes at the end of the line. It is building a system that makes fewer mistakes in the first place.

And that is this Healthcare Power Up. Pulling apart healthcare operations so we can see how the system really works. Thanks for listening, and I will talk to you next time.