Even when utilization holds steady, meaning employees aren't using more care year over year, self-insured plans can still see costs spike. The culprit is often unit-price volatility that hides inside routine claims data, quietly driving total spend higher while eluding traditional reporting.

Comparing Similar Care With Very Different Price Tags

Imaging: A standard knee MRI may cost a few hundred dollars at an independent imaging center but several thousand at a flagship hospital across town, despite comparable equipment and clinical protocols.

Lab work: A basic comprehensive metabolic panel might run under 20 dollars through a high-value reference lab yet top 150 dollars when processed in a hospital outpatient department, largely because of facility fees.

Outpatient surgery: A routine colonoscopy performed at an ambulatory surgery center can cost half of what a hospital outpatient department charges, even though the clinical steps and recovery times are identical.

These swings do not stop at the service line. Provider density, local market power and regional wage indexes further skew prices. In metropolitan areas with a dominant health system, negotiators often face take-it-or-leave-it rate cards, whereas markets with robust competition tend to post lower unit costs. Layer on differences in contract terms such as bundled payments, carve-outs or minimum-reimbursement clauses, and two employers in neighboring zip codes can see wildly different price benchmarks for the same care.

Such volatility undermines forecasting, stop-loss planning and benefit strategy because you cannot isolate whether rising spend comes from more services or higher unit prices. Without that clarity, every budget cycle feels like rolling the dice.

Measuring The Business Impact Beyond The Claim

Price variance ripples far beyond a single invoice. Your budgets swing unpredictably, eroding executive trust in data-driven stewardship of benefit dollars. Employees feel the effect when higher plan costs translate into larger payroll deductions or surprise balances after care. Limited visibility also dulls your negotiating power. If you cannot pinpoint which providers or service lines are driving outlier costs, challenging TPAs on network performance or steering members toward better-value options becomes difficult.

Policy researchers at Health System Tracker have shown that identical services can vary in price by multiples within the same metro area, a finding that highlights how disconnected cost and quality often are. When you add up the dollars attached to these hidden spreads, the total can dwarf the savings from wellness programs or incremental plan tweaks. Recognizing the scale of the problem is the first step. The next is to convert fragmented data into insight that guides smarter decisions.

Prioritizing The Questions You Need Answered

Start by defining the questions your organization cannot ignore:

Which services show the widest gap between our lowest and highest unit prices, and what drives that spread?

Which physicians, facilities or ancillary vendors account for a disproportionate share of high-cost outliers?

Where does apparent over-utilization mask underlying price inflation, duplicate billing or miscoding?

When finance, HR and benefits leaders share a single source of truth, you stop debating data accuracy and start debating strategy. A unified view ties price patterns directly to network steering, medical-management priorities and employee outreach, ensuring each intervention aligns with measurable savings opportunities.

Turning Visibility Into Better Cost Control

Modern analytics platforms cleanse and normalize claims across TPAs, pharmacy benefit managers (PBMs) and point-solution vendors. Once the data speak the same language, benchmarking engines compare your paid amounts against regional and national norms, spotlighting outliers in real time. Automated alerts flag a 4,000-dollar colonoscopy when the market median is 1,600 dollars or surface a sudden spike in advanced imaging at a single facility.

With that clarity, you negotiate from a position of strength. You can push administrators for better unit rates, design benefits that reward employees for choosing high-value providers and launch provider education where coding patterns suggest preventable overspend. Visibility also shortens the feedback loop between plan changes and financial results, helping you demonstrate impact to the C-suite and build momentum for continuous improvement.

You no longer need to guess whether a cost jump stems from employees using more services or from vendors charging more per service. By isolating utilization metrics from unit-price metrics, you can target interventions precisely, whether that means promoting virtual care to reduce unnecessary emergency visits or renegotiating imaging rates in high-cost zip codes.

Price Variance Is Manageable Once It's Visible

Visibility by itself will not balance the books, but it changes the odds. Once you know exactly where prices spike, negotiations become data-driven rather than anecdotal. Networks that once resisted rate reviews respond differently when confronted with precise comparisons that show their outliers. Benefit designs become smarter, steering members toward high-value providers while giving them clear cost expectations up front.

Internally, that same clarity builds trust across the business. Finance forecasts with more confidence, HR can defend plan decisions with data instead of assumptions, and executives get a clear line of sight into how benefit dollars are actually being spent. Over time, healthcare spend stops behaving like an unpredictable expense and starts functioning like any other managed line item on the budget.

Almost every self-insured employer I talk to says some version of the same thing. They know their health plan spend keeps climbing. They don't know exactly why, and nobody at the table has a complete answer for them.

That's not because any health plan stakeholder is dropping the ball. The broker's job is to negotiate the best coverage they can. The TPA's job is to process claims accurately and pay them on time. Neither of those roles was ever built to catch price variance across providers or flag a billing pattern that only shows up once you look at twelve months of data side by side. That gap isn't anyone's fault. It's just nobody's job, so it never gets looked at.

Over the past several years, self-insured employers started asking us to look at their claims data anyway. We're independent. We don't get paid by a TPA, a network, a PBM, or a stop-loss carrier, so we had no reason to see anything other than what was actually there.

What we found was consistent across nearly every plan we looked at. Real, recoverable dollars, sitting in the data the whole time, that nobody happened to be looking for.

That's what the VeriAct ROI Calculator is built to show. What it does is model what applying data-based governance, procurement discipline, waste and abuse mitigation, and a cash network strategy, could realistically save you, provided the underlying data is accurate and well governed. Get the data right, and the savings are real. The calculator gives you a first look at how much.

What the ROI Model does

The calculator takes basic inputs you already know: your employee count, covered lives, and current annual health plan spend. From there, it models three levels of financial governance, light, moderate, and advanced, and shows the projected savings at each level.

Rather than a single vague estimate, you see the numbers broken out so you understand where the savings actually comes from and how much more you could recover by applying stronger oversight.

Why savings depend on the data

None of these four levers work off an assumption. They work off your actual claims, normalized and checked month over month. That's the part that's easy to underestimate: the savings aren't in a spreadsheet formula, they're in the data itself, and the model is only as good as the data feeding it.

The numbers behind the calculator come from VeriAct, the data engine behind our ongoing claims governance work, and they follow the exact process we run for clients.

Ingest. Every month, we pull in your claims data feed directly from your plan administrator and pharmacy benefit manager. No new systems, no disruption to how claims get paid.

Enrich. Every claim gets normalized against provider, procedure, and place-of-service codes, so a service can be compared apples to apples across providers, patients, and time, not just against itself.

Analyze. The normalized data gets checked for pattern and price variance: the same service billed at wildly different rates, the same provider billing the same way on every visit, care that shows up more often than it should.

Document. Every finding is turned into audit-grade documentation. Recoverable dollars stay defensible, not theoretical, so you have something you can actually act on.

Engage. Findings get brought to the parties who can fix them, your TPA, your providers, your broker, with the evidence attached, and tracked until they're resolved.

The ROI Calculator distills that process into a single projection: given your plan's size and current spend, here is what applying this kind of data-based oversight would likely be worth.

Where the savings come from

Every plan we've reviewed shows recoverable spend sitting in four places, each one only visible once the data is in order. Here's what each one means, and roughly what it can yield at a moderate level of governance, based on a sample plan of 994 employees and 1,561 covered lives.

IMAGE TO COME

At moderate governance, those four levers add up to roughly 16% of medical spend recovered. At an advanced level, that climbs to around 20%. None of it requires switching carriers, changing networks, or disrupting the employee experience, and none of it requires your broker or TPA to do anything differently. It requires someone applying data discipline to the claims that are already being generated every month.

Try it yourself

It takes less than five minutes and doesn't require sharing any sensitive plan data. Run your own numbers. What you'll see is a realistic projection, not a promise, of what's possible once the data behind your plan gets the same scrutiny you'd apply to any other major expense.

Try the ROI Calculator →

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Understanding Why Cost Visibility Breaks Down

When you first dig into your organization’s claims files, the numbers can look like a jigsaw puzzle missing key pieces. Pricing opacity is baked into self-insured plans, beginning with the way services are coded and continuing through every hand-off between vendors.

Following A Claim From Service To Final Cost

Consider what happens after an employee schedules a routine MRI. At the point of care, the procedure receives multiple billing codes that capture the image type, body part and any contrast material used. Those codes travel to a billing department where charges are set and the claim is sent to the third-party administrator (TPA) for adjudication. The TPA first validates eligibility, then applies your network contract to reprice the claim according to negotiated discounts.

Next, a payment-integrity vendor may scan the claim for coding errors or duplicate charges, often adding or removing line items. If the total cost exceeds a predetermined stop-loss threshold, the claim is flagged for your reinsurance carrier, which may impose its own reimbursement rules or additional documentation requirements. Finally, the claim cycles through audit partners, fraud detection algorithms and, in some cases, specialty carve-out vendors before payment is released.

Each step alters the numbers a little more, and each system records data in its own format. By the time the transaction appears on your monthly report, the trail of mark-ups, down-codes, edits and administrative fees has disappeared. Small wonder the very same MRI performed at two facilities across town can end up with invoices that differ by thousands of dollars.

Recognizing Why More Data Does Not Equal More Insight

You probably do not lack information. Monthly claims files, utilization dashboards and network scorecards hit your inbox with clockwork regularity. The problem is that every source speaks a different language. One report excludes prescription rebates, another classifies observation stays as inpatient visits and a third rolls ancillary fees into facility totals. Before you can compare apples to apples, someone on your team must spend hours cleaning and aligning spreadsheets.

Fragmented reporting also blurs accountability. Carriers, TPAs and point-solution partners each present part of the story, yet no single entity stitches those perspectives into a cohesive financial narrative. Hidden variation thrives in these silos, and that limited visibility quickly becomes a hard-dollar risk for your plan.

According to McKinsey & Company, revenue-cycle leaders are "under pressure from payer and regulatory demands", which is accelerating investment in advanced analytics that turn scattered claims data into strategic intelligence. If providers feel the heat to modernize, employer sponsors should expect the same urgency on their side of the table.

The Cost of Staying in the Dark

None of this happens because vendors are acting in bad faith. TPAs, carriers and point solutions are each optimizing for their own piece of the process, not for your total visibility. But the result is the same regardless of intent: without a consolidated view of claims data, employers cannot tell the difference between normal cost variation and the kind that signals a real problem.

The fix is not more reports. It is a single source of truth that pulls claims, eligibility, network and stop-loss data into one place, standardizes the definitions and surfaces the variation that actually matters. Only then can finance and HR leaders move from reacting to last month's bill to actively governing next year's spend.

Back in 2011 there was a movie called Moneyball, with Brad Pitt playing a baseball executive who throws out a century of conventional wisdom and starts asking a simple question the rest of the room did not want to hear. What if the thing everyone accepts as true just isn't? The whole story turns on looking at the data everyone else ignored and finding value hiding in plain sight.

Healthcare pricing has its own version of that room. For years we have all agreed that the insurance rate is the real rate. It is printed on the statement. It comes from a network. It looks official. So nobody questions it.

Here is the part that sounds backwards. The cash price, the one a provider sets for someone paying directly, is often lower than the rate your insurance company negotiated on your behalf. The insurer is supposed to have the bargaining power. The data says otherwise.

A 2023 study published in Health Affairs looked at 2,379 hospitals and the prices they are now required to disclose for 70 common shoppable services. In roughly half of those hospitals, the cash price came in below the median commercial rate negotiated by insurers. In about one in five, the cash price was at or below the lowest insurance rate the hospital had on file. A separate analysis out of Trinity College found that 60 percent of negotiated rates were higher than the cash rate for the same service.

That is the cash network. It is not a loophole, and it is not a trick. It is a provider offering a straight, published price to anyone willing to pay directly, without the insurance machinery sitting in the middle. Same machine. Same physician. Same building. The only thing that changed was who was watching the price.

The math gets problematic up close. Picture an employee with a $6,000 deductible who needs a procedure the plan negotiated at 6,500 dollars. Because they have not met the deductible, they pay the whole thing. If that same hospital posts a cash price of $5,200 for the identical service, the insured patient just paid $1,300 more than someone who walked in with no coverage at all.

Here is the part that should bother every employer. If you are self-insured, that cash price was always available to your plan. The researchers behind the Health Affairs study said it plainly. Some self-insured employers are paying more than the cash price, and they could use those cash rates as a benchmark or contract directly with lower-priced providers. You just never saw it, because the system is built so the party paying the bill is the last one to find out what anything costs.

None of this works without data. You cannot route to a better price you cannot see, and you cannot control spend you cannot measure. Once you can line up the network rate against the cash rate in real time, the cash network stops being a nice idea and becomes a choice you make on purpose. Insight leads to action. Action leads to savings.

We are not asking anyone to blow up their health plan. We are simply asking the same question that ran through that baseball movie fifteen years ago. What if the price you were told to accept was never the best price at all?

Sources:

Wang Y, Meiselbach MK, Cox JS, Anderson GF, Bai G. "The Relationships Among Cash Prices, Negotiated Rates, and Chargemaster Prices for Shoppable Hospital Services." Health Affairs 42, no. 4 (April 2023): 516–525. https://www.healthaffairs.org/doi/10.1377/hlthaff.2022.00977

Ruiz Sánchez, G. "Variation in Reported Hospital Cash Prices Across the United States and How They Compare to Reported Payer-Specific Negotiated Rates." Economics Letters 211 (2022): 110226. https://www.sciencedirect.com/science/article/abs/pii/S0165176521004687