There’s a moment in every payment integrity program when you realize the same dollar is being handled twice—once when it’s paid, and again months later when someone tries to recover it. It can take twelve months before you stop touching a claim. There are too many handoffs, too much manual intervention, and it’s too expensive.
For years, the logic behind shifting to prepayment review has been simple; if you can catch an incorrect payment before it goes out the door, you avoid the cost, the rework, and the friction that follow. You don’t need to recover dollars if you never lose them in the first place.
Everyone agrees with this. In fact, most health plans are already trying to act on it.
They’ve invested in real-time claims infrastructure. They’ve built prospective payment integrity programs. They’ve explored prepayment review workflows. And they’ve grown increasingly frustrated with how prepayment review has historically played out. In practice, messy tradeoffs between speed, data quality, provider friction, and economics have proven challenging.
So, if prepayment review makes so much sense, why has it been so hard to operationalize?
The industry is already aligned, so what's the problem?
Let’s start with what’s not the issue. This isn’t a case of slow adoption. It’s not a lack of awareness. And it’s certainly not a lack of motivation. If anything, the opposite is true.
Payment integrity leaders are under increasing pressure to reduce avoidable spend while maintaining compliance, protecting provider relationships, and operating within fixed timelines. At the same time, rising medical costs and administrative complexity have made post-pay recovery less efficient and expensive to scale.
And so the industry has converged on a shared idea: Shift left. Move earlier in the claims lifecycle. Stop problems before they happen. But alignment on what to do hasn’t translated into clarity on how to do it because the system they’re working within wasn’t built for that.
The system wasn't designed for prepayment review
Healthcare claims don’t behave like a neat assembly line. They move quickly, but not always predictably. Data arrives in pieces. Coverage changes over time. Signals that matter, like primacy and third-party liability data, often exist outside the claim itself. And all of this unfolds within strict operational constraints.
For many plans, claims must be adjudicated within defined timelines—sometimes within 30 days—leaving little room for extended investigation. That creates structural tension. You need more information to make the right decision, but you have less time to gather it. Prepayment review struggled to take off because it forced payers to make decisions that demanded careful judgment on timelines that forced speed over understanding. It created tension that technology couldn’t yet solve.
Historically, that tension has pushed the system toward its default behavior to pay first and figure it out later. It isn’t a better approach, but it did fit the system.
Prepayment review introduced friction into an already tight system
When prepayment review was introduced, it didn’t replace the existing model. It was layered on top of it, and that’s where things got complicated.
Consider the tradeoffs:
- Slow the claim too much, and you risk missing regulatory timelines
- Flag too many claims, and you create provider abrasion and operational backlog
- Wait for certainty, and the payment window closes
In other words, prepayment review didn’t just add capability; it introduced tension, and most systems weren’t equipped to resolve it.
Instead, they reacted in predictable ways:
- Narrowing the scope of prepayment programs
- Limiting interventions to low-risk use cases
- Falling back on post-pay recovery for anything complex
This is especially visible in areas like COB and third-party liability coordination. In third-party liability scenarios, for example, timing gaps become clear very quickly. A member is injured, and claims begin flowing immediately. Within days, a plan may pay enough to exhaust available no-fault benefits—benefits that could have been applied first. By the time that liability is identified and validated, the opportunity to prevent those payments has already passed. Recovery can take months or longer, or it may never happen.
Even something that seems straightforward conceptually becomes difficult in practice. Coverage can shift. Data can lag. Determining the correct payer often requires validation, not just detection. Rules alone struggle in that environment, and when rules struggle, systems compensate—usually by becoming more conservative.
The deeper issue: it wasn't just a measurement problem
There’s a common narrative that prepayment review struggled because avoided spend is harder to measure than recovered dollars. There’s truth to that. Recoveries are visible. Avoidance is inherently less so. But that’s only part of the story. The bigger constraint was capability.
To act effectively in prepayment review, a system needs to do three things well. First, the system must access the right data fast enough to matter. Then, it must interpret that data in context, not just flagging anomalies. Finally, it must act within the adjudication window with confidence.
Historically, most systems could do one of these things. Some could do two. Very few could do all three at once. And just as importantly, they often weren’t built to do the same level of validation that post-pay programs perform.
Pre-pay COB and third-party liability coordination aren’t simplified versions of post-pay work. They require the same investigation, the same validation, and the same level of certainty—but more quickly and earlier in the process. That’s a much harder problem than it sounds.
What's changed, and why prepayment review is possible now
Over the past few years, something subtle but important has shifted. Prepayment review hasn’t universally “arrived,” but in certain environments, the underlying capabilities it depends on have matured enough to make it viable in practice.
This shift is largely driven by advances in data infrastructure and analytics. Data is more accessible and timely, including eligibility feeds, claims data, and external sources that were previously difficult to integrate or use in real time. Pattern recognition has improved as well, with more sophisticated models able to identify meaningful signals across fragmented inputs. At the same time, operational workflows have evolved, making it possible to embed these insights directly into claims processing without introducing disruption.
These changes address limitations that historically made prepayment review impractical. Investigations that once took weeks can now be completed in hours. Responsibility can be determined based on verified facts rather than inferred probability. And decisions can be applied before payment, without materially slowing claims, when systems are designed to support it.
In practice, this means:
- Claims can be screened as they enter the system
- High-confidence scenarios can be identified early
- Responsibility can be validated using multiple data sources
- Only those claims with clear, verified signals are flagged for coordination, thereby reducing provider friction
All within the constraints that once made prepayment review difficult.
This doesn’t eliminate complexity, but it makes it manageable in a way it wasn’t before. Prepayment review is no longer fighting the system. It’s starting to work with it.
Prevention and recovery aren't competing strategies
One of the more persistent misconceptions is that prepayment review replaces post-pay recovery. It doesn’t. They operate on different parts of the payment lifecycle.
Prepayment review focuses on prevention—stopping incorrect payments before they happen. Post-pay recovery focuses on resolution—addressing what couldn’t be identified earlier. The relationship between the two is complementary, not competitive.
In practice, moving upstream often makes downstream work more efficient:
- Fewer incorrect payments to chase
- Cleaner data for recovery efforts
- More focus on high-value, complex cases
- No more 300-day delays in payment
And on a per-case basis, prevention is inherently more valuable. There’s no recovery cost, no rework, and no delay between payment and resolution. The value of getting it right the first time is financial, yes, but also operational.
Prepayment review is an attainable goal
Prepayment review has always been a compelling idea. It struggled not because the industry lacked conviction, but because the environment wasn’t ready to support it at the level of rigor required. The data wasn’t timely enough. The systems weren’t connected enough. The decisioning wasn’t precise enough to act with confidence inside the claims window.
That’s changing. Prepayment review is not just a new tool, but a shift in how decisions are made, when they’re made, and what information is used to make them. For a long time, that shift was ahead of the system’s capabilities. Now, it’s finally within reach. And as those capabilities come together, prepayment review stops being an aspiration, and starts becoming operational. Not everywhere, not all at once. But enough to matter, especially for COB and third-party liability coordination.
The goal hasn’t changed. The goal is still simple: get claims right the first time. And now, increasingly, we can.
Machinify helps payers reduce the total cost of healthcare through prepayment review so that every claim is paid right the first time, every time, in no time. Talk with our team to see how we can deliver better health and financial outcomes for your plan.
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