Healthcare organisations often know their total surplus or deficit. Very few know which procedures, specialties, or payer contracts are actually generating value - and which are consuming it.
Healthcare is arguably the industry where profitability visibility matters most and is understood least. The combination of complex cost structures, multiple payer contracts, variable clinical pathways, and regulatory constraints makes traditional costing almost useless for operational decision-making.
Most healthcare organisations can tell you their overall financial position. Few can tell you the margin by DRG, by consultant, by payer contract, or by care pathway. Without this visibility, contract negotiations are conducted without data, capacity decisions are made on gut feel, and the organisation cannot identify where clinical variation is driving cost inefficiency.
Standard costing approaches systematically distort profitability in healthcare. Here is why.
Two patients with the same primary diagnosis may follow completely different care pathways - different lengths of stay, different diagnostic tests, different levels of nursing intensity. Department-level cost allocation gives them the same cost, which is wrong.
A hospital may have contracts with 10 different payers - public insurance, private insurers, self-pay. Without true procedure-level cost data, it is impossible to know whether any given contract is above or below cost, and by how much.
Significant variation in cost exists between consultants treating the same condition - due to different ordering patterns, different care protocols, and different length-of-stay practices. Without procedure-level cost visibility, this variation cannot be managed.
How to build an accurate cost model for healthcare that captures complexity, scales with volume, and drives real decisions.
Document the key activities in each patient episode: admission, diagnostic testing, nursing care (by intensity level), procedures, pharmacy, therapy, and discharge. Each activity has a resource cost and a time driver.
Calculate the capacity cost rate for each clinical resource: operating theatre time (per minute), ICU day, nursing hour by ward type, diagnostic equipment cost rate. These rates are the building blocks of procedure-level costing.
For each DRG or care pathway, build a time equation that captures the key cost drivers: base nursing time + additional time for complexity level + procedure time + diagnostic battery. This replaces simplistic per-diem or per-admission costing.
Apply the cost model to actual patient data to generate profitability by payer contract, by specialty, by consultant, and by care pathway. Compare against contracted tariffs and reimbursement rates to identify value-destroying contracts.
When you apply accurate cost-to-serve analysis in healthcare, these findings are typical.
In many healthcare organisations, when true procedure cost is calculated, a significant proportion of payer contracts reimburse below actual cost. This cross-subsidisation is invisible in aggregate financial reports.
The cost of treating the same DRG can vary by 25-40% between consultants at the same institution - almost entirely explained by differences in ordering patterns, length-of-stay practice, and care protocol adherence.
Many hospitals discover that high-volume outpatient services are their most profitable activity - while inpatient complex cases lose money. This has significant implications for capacity planning and service development strategy.
Before building a full TDABC model, we recommend starting with the Profitability Health Check - a 12-question diagnostic that takes 5 minutes and benchmarks your current maturity across all 7 dimensions. It tells you where to focus first and what level of improvement is realistic given your current data and process maturity.
Take the free Profitability Health Check - healthcare version - and assess your clinical profitability visibility against peer organisations.
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