
Welcome to Price Transparency Decoded, a series focused on uncovering real-world inefficiencies hidden in public healthcare pricing data. Our goal isn’t to point fingers or label anyone as “good” or “bad,” but to show how commercial rates actually vary in practice and why those differences matter. We’ll present the data, explain what we’re seeing, and connect the dots to the broader dynamics shaping healthcare pricing today.
In Tallahassee, Florida Blue is paying 54% above the Florida market median for one of the most common office visit codes at a major regional hospital. Even modest adjustments could translate into six-figure annual savings.
With this weeks announcements of minimal Medicare increases, health insurers are under visible margin pressure. Recent earnings reports and market reactions have made it clear that rising medical costs and constrained reimbursement growth are colliding. When insurer valuations reset, it’s often a signal that costs embedded deep in commercial contracts are no longer abstract. They flow directly into medical loss ratios, pricing decisions, and ultimately premiums.
Against that backdrop, paying materially above market for a high-volume, routine service is no longer just a theoretical inefficiency.
If you are Florida Blue, this represents spend above prevailing market rates. If you are a Florida Blue customer or a self-funded employer whose employees frequently use this hospital, this pricing shows up in higher claims costs, higher premiums, or both.
This is exactly the kind of inefficiency price transparency data can surface when it is analyzed, not just published.
This analysis is grounded in scale and context.
Across Florida, we analyzed 8,804,068,308 negotiated commercial rates spanning major payers and providers. To create a like-for-like benchmark, we narrowed the comparison set to general acute care hospitals using taxonomy 282N00000X.
Within that cohort statewide, we identified 2,345 negotiated commercial rates for CPT 99214, which form the basis of the Florida market median used in this analysis.
This example focuses on commercial rates for a standard established patient office visit, CPT 99214, at Tallahassee Memorial Healthcare Inc in the Tallahassee market.
We compare Florida Blue’s negotiated rates at this provider against the Florida market median for the same CPT code among general acute care hospitals.
What the data shows:

A 5% move toward the market median does not imply repricing to the median. It represents closing only a small portion of the gap. In this case, that equates to roughly $3.33 per visit, which compounds quickly at scale.
When multiplied across thousands of encounters, small rate differences become real dollars.
A pricing gap like this does not automatically indicate a mistake. There are several plausible reasons why a payer might knowingly accept rates above the market median.
Transparency data surfaces the what. Understanding the why requires deeper contract and utilization context.
Even when intentional, pricing gaps like this deserve scrutiny.
High-volume services magnify small differences. A few dollars per visit, multiplied across tens of thousands of encounters, can create six-figure impacts without changing benefits, access, or care delivery.
In an environment where insurers are under increasing pressure to demonstrate cost discipline, these gaps don’t stay buried. They show up in claims performance, pricing decisions, and investor expectations.
The question is not whether every rate should equal the market median. It’s whether these gaps are visible, understood, and aligned with current strategy, or simply inherited and unexamined.
That’s where price transparency becomes market intelligence.