The CFO of a mid-sized hospital group told me something I’ve heard more times than I can count: “We know roughly where we’re making money.” It was said with confidence. Three hospitals, two specialist clinics, around 800 beds. A leadership team with decades of experience. And a cost allocation model built on headcount.
Six months later, that confidence had been replaced by something more useful: clarity. Their TDABC model had surfaced €2.3 million in annual cross-subsidies — and revealed that 18% of their service lines were running at a loss, masked entirely by high-volume procedures propping up the rest of the business.
This is not a story about incompetence. It’s a story about what happens when organisations outgrow their measurement systems.
When the numbers felt right but weren’t
The hospital group’s finance team was diligent. Monthly reports, variance analysis, department-level P&Ls. On paper, the emergency department looked profitable. Elective surgery was “about break-even.” The numbers told a coherent story — because they were built on assumptions that had never been stress-tested.
The core problem was how overhead was allocated. Facilities, equipment depreciation, nursing time, clinical support — all distributed across departments by headcount. It’s a common approach. It’s also deeply misleading in a healthcare setting, where the actual cost-to-serve a patient varies enormously by pathway, acuity, length of stay, and the specialist resources consumed along the way.
A routine elective procedure and a complex multi-department emergency don’t consume the same resources. But under headcount-based allocation, they absorbed costs as if they did. The result: some service lines looked healthier than they were, and others looked worse. The cross-subsidies were invisible — until they weren’t.
What a cost model revealed in six weeks
The TDABC build took six weeks. That’s not long for an organisation of this complexity, but it was long enough to map 14 patient pathways, assign time equations to each activity cluster, and run the model across 18 months of historical data.
The findings were uncomfortable in the best possible way. The emergency department, long assumed to be a strong contributor, was generating significantly lower margins than believed — its apparent profitability was sustained almost entirely by overhead relief flowing from high-volume day-surgery procedures. Meanwhile, several outpatient specialist services that had been quietly treated as “low priority” turned out to be among the most margin-positive in the portfolio.
The €2.3 million cross-subsidy figure wasn’t a number anyone had planned for. It represented the gap between what the organisation believed its cost structure looked like and what it actually was. That gap had been accumulating, invisibly, for years.
The 18% nobody wanted to find
Eighteen percent of service lines were loss-making. Not marginally — in some cases, significantly. The losses weren’t the result of poor clinical delivery or operational inefficiency. They were the result of pricing and contracting decisions made without accurate cost information.
Several services had been priced based on benchmarks and competitor rates, without reference to the actual resource consumption those services required. Others had legacy tariff structures that hadn’t been revisited in years. The model didn’t create these problems — it made them visible for the first time.
What the leadership team found hardest to accept wasn’t the scale of the losses. It was how long they’d been flying blind. The gut feel wasn’t malicious or careless. It was simply all they had.
What changed after the model
Within 90 days of completing the model, the hospital group had repriced three service lines, initiated renegotiation on two payer contracts, and restructured the internal cost allocation methodology to reflect actual pathway costs rather than headcount ratios.
None of those decisions were dramatic in isolation. What made them significant was that they were grounded — for the first time — in a clear picture of cost-to-serve. The leadership team didn’t need to guess whether a repricing decision was sound. They could see the pathway economics directly.
The 18% didn’t disappear overnight. Structural change in healthcare takes time. But the organisation moved from a position of managed uncertainty to one of informed action. That shift — from gut feel to model — is where sustainable profitability improvement begins.
If your organisation is still allocating costs by headcount or square footage and hoping the picture is accurate, it probably isn’t. A structured diagnostic — a ProfitAudit 360 — can surface what your current model is hiding. If you want to start with a lighter-touch assessment of where your cost visibility gaps are, our Health Check is designed exactly for that.