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Key Takeaway
PwC projects 8.5% medical cost growth in 2026. Healthcare finance leaders are using EPM to manage compliance, protect margins, and plan for patient demand — because the consequences of poor financial visibility, in margin, compliance, and patient care, are too significant to manage on spreadsheets.
A hospital CFO finishes the annual budget in October. By January, three things have shifted: a payer has tightened its prior authorisation requirements, nursing agency costs have risen 14% above plan, and patient acuity levels in two wards are running higher than the volume assumptions the budget was built on.
The budget has not changed. The financial reality has.
By March, the finance team is explaining variance — not managing it. By June, the CFO is managing a cost overrun that the planning model could not have anticipated, because the planning model was never connected to the operational drivers that cause it.
This is not a healthcare-specific failure. It is a universal consequence of planning in a disconnected environment — and it is why the healthcare segment is projected to be the fastest-growing segment in EPM adoption from 2025 to 2033. Healthcare organisations are not investing in EPM because it is a trend. They are investing because the consequences of poor financial visibility are too significant to manage on spreadsheets.
Every finance function balances revenue, cost, and compliance. Healthcare finance does all three simultaneously — under conditions that make each one harder than in any other sector.
Revenue in healthcare is not determined by price and volume alone. It is determined by payer contracts, reimbursement rates, case mix, coding accuracy, and prior authorisation outcomes — variables that healthcare organisations influence but do not fully control. The vast majority of healthcare revenue cycle leaders report that payer-related factors are contributing to ageing accounts receivable, with more than half anticipating additional financial pressure from recent federal legislation and nearly half noting that the cost to collect is rising, according to McKinsey's 2025 RCM Buyer's Survey.
Cost in healthcare is driven by labour, pharmaceuticals, and medical supplies — three of the most volatile input cost categories in any industry. From 2021 to 2022, health system revenues increased by 12.5% but operating expenses rose by 17.2%, according to the AHA's Cost of Caring report — a gap that reflects structural cost pressure rather than a temporary disruption. Workforce shortages compound this: when nursing agency costs spike because permanent staff cannot be recruited or retained, the financial model needs to reflect that change immediately, not at the next budget cycle.
Compliance in healthcare is non-negotiable and continuously evolving. Regulatory requirements — across reimbursement standards, clinical documentation, data privacy, and value-based care contracts — change faster than annual planning cycles can accommodate. 63% of health plan executives are already prioritising compliance strategies in 2025, recognising that regulatory agility is not just a governance requirement but a financial one.
These three pressures — revenue uncertainty, cost volatility, and compliance complexity — interact simultaneously. A planning environment that addresses any one of them in isolation, while the others remain disconnected, will consistently produce plans that are wrong before the financial year begins.
Gap 1: Workforce Plans and Financial Plans Run on Different Assumptions
Labour is typically 60% or more of a healthcare organisation's operating costs. Yet in most health systems, workforce planning and financial planning are conducted by different teams, in different systems, against different assumptions about volume, acuity, and staffing ratios.
When patient acuity rises, the nursing hours required per patient day increase with it — higher labour cost per episode, lower margin per bed, and a cost-per-case that diverges from the budget assumption within weeks. A financial plan that does not connect staffing ratios to volume and acuity assumptions cannot anticipate this divergence. It can only explain it after the fact.
Gap 2: Reimbursement Changes Are Modelled Retrospectively, Not Prospectively
Payer contract changes, reimbursement rate updates, and coding policy adjustments alter the effective revenue per case across every service line. When a payer tightens prior authorisation requirements, the denial rate increases, the reimbursement per claim falls, and the revenue cycle extends — creating both a revenue impact and a cash flow impact that compounds over time.
In most healthcare finance environments, these changes are captured when they appear in the actuals — not when the payer announces them. Connected EPM environments close this gap by enabling healthcare finance teams to model reimbursement scenario assumptions prospectively, adjusting the revenue forecast when payer changes are announced rather than when they have already reduced income.
Gap 3: Compliance Reporting and Financial Planning Operate as Separate Processes
Value-based care contracts — which tie reimbursement to clinical quality metrics and patient outcome measures — require healthcare organisations to plan against both financial targets and clinical performance indicators simultaneously. A health system that hits its cost-per-episode target by reducing service intensity may simultaneously miss its readmission rate target, triggering a penalty that erodes the financial benefit.
Most healthcare finance systems are not designed to connect clinical performance metrics to financial planning. Finance plans against revenue and cost. Clinical teams plan against quality indicators. The two sets of assumptions meet at the board report — not during the planning cycle.
EPM platforms designed for healthcare — or EPM platforms correctly implemented for healthcare-specific requirements — address each of these gaps through a connected planning architecture where clinical, operational, and financial data exist in the same governed model.
Workforce Cost Modelling Connected to Volume and Acuity
Rather than a fixed headcount budget, a healthcare EPM model expresses labour cost as a function of patient volume, case mix index, and staffing ratios. When acuity rises, the cost model updates automatically. When volume falls, the staffing requirement adjusts in the model before the roster adjustment is made.
Scenario Modelling for Reimbursement and Regulatory Change
When a payer announces a rate change, or when regulatory guidance signals a shift in coding requirements, the finance team should be able to model the financial impact immediately — across all affected service lines, payers, and cost centres — rather than waiting for the change to appear in actuals.
Integrated Compliance and Financial Reporting
EPM platforms that integrate clinical performance data — readmission rates, length of stay, complication rates, patient satisfaction scores — alongside financial projections allow health system CFOs to see the financial consequence of clinical performance in the planning model, not in the variance report.
U.S. finance teams using automation in healthcare budgeting save an average of 500 hours annually, according to American Express research — a figure that reflects not just efficiency gain but capacity redeployed from reconciliation to strategic financial management.
A regional health system with five hospitals and twelve outpatient facilities is preparing its annual operating plan. The finance team needs to model three scenarios: a base case assuming current payer rates, a downside case reflecting a proposed Medicaid reimbursement reduction, and a workforce stress scenario assuming agency nursing costs remain 15% above the permanent hire rate for the full year.
In a disconnected planning environment, each scenario requires a separate manual rebuild. The consolidation takes two weeks. By the time three scenarios reach the CFO, the planning assumptions have already shifted.
In a connected EPM environment — where patient volume projections, case mix assumptions, staffing ratios, payer contract terms, and cost inputs all exist within a single governed model — the same three scenarios are produced in a day. The CFO reviews them the morning after the planning request.
This is what Keansa's Healthcare practice and FP&A engagements build in health system environments — not a faster version of the existing disconnected process, but a planning architecture where clinical and financial assumptions move together, compliance requirements are modelled prospectively, and the finance team's time is directed toward the decisions that protect margin and patient outcomes rather than the reconciliation that explains why the budget was wrong.
Based on Deloitte's 2026 Global Health Care Outlook — a survey of 180 C-suite executives from large health systems across six countries — revenue growth, workforce challenges, care model transformation, AI adoption, and cost management are identified as central priorities for health system leaders. That priority list maps directly to the EPM implementation sequence that consistently delivers results in healthcare environments:
Start with Workforce Cost Modelling
Labour is the largest and most volatile cost driver in healthcare. A driver-based workforce model — connecting patient volume, acuity, and staffing ratios to labour cost — delivers immediate financial visibility and reduces the most significant source of budget variance.
Connect Revenue Cycle Data to the Financial Model
Reimbursement rates, denial rates, and payer mix assumptions should update the revenue forecast automatically when contract terms change — not when variance review reveals the gap.
Build Reimbursement and Regulatory Scenarios
Healthcare CFOs who maintain pre-built scenario models for payer rate changes, volume shifts, and regulatory impacts can respond to change in hours rather than weeks — closing the gap between a policy announcement and a financially informed decision.
Integrate Compliance Metrics into the Planning Framework
Value-based care targets — readmission rates, length of stay, quality scores — should exist in the same planning model as financial targets, so trade-offs between clinical and financial performance are visible during planning rather than discovered in the board report.
The data quality layer underpins all of this. The planning architecture is only as reliable as the data feeding it — and in healthcare, where clinical, operational, and financial data comes from multiple source systems, establishing data governance before platform deployment is not optional.
Deloitte's 2026 Global Health Care Outlook found that healthcare leaders across six countries identify cost management, workforce challenges, and care model transformation as central priorities — the same three pressures that have defined healthcare finance for the past four years and show no sign of easing in 2026.
McKinsey projects health system margins could face cuts of up to 13 percentage points over the next five years — from reimbursement pressure, supply cost inflation driven by tariffs, and demographic demand growth that outpaces available workforce capacity. In that environment, the margin between a financially resilient health system and one facing structural deficit is increasingly determined by the quality of the planning process — not just the quality of clinical care.
In healthcare, the cost of a disconnected plan is not just a variance report. It is a margin that erodes, a compliance gap that widens, and a patient outcome that suffers when financial constraints become visible too late to manage.
Frequently Asked Questions
What is EPM for healthcare?
EPM for healthcare refers to Enterprise Performance Management implemented specifically for the planning, reporting, and compliance requirements of health systems, hospitals, insurers, and other healthcare organisations. Unlike generic EPM, healthcare EPM connects clinical volume and acuity data, workforce cost drivers, payer reimbursement assumptions, and compliance metrics into a single governed planning model — so financial projections reflect operational reality in real time rather than being reconciled to it at period close.
Why is healthcare financial planning particularly complex?
Healthcare finance operates under simultaneous pressure from three directions: revenue uncertainty driven by payer contracts and reimbursement policy; cost volatility driven by labour, pharmaceuticals, and medical supplies; and compliance complexity driven by value-based care contracts, regulatory reporting requirements, and clinical quality metrics. Each of these interacts with the others in ways that a static, disconnected budget cannot capture — making connected planning a strategic necessity rather than a productivity improvement.
How does EPM help healthcare organisations manage compliance?
EPM platforms enable healthcare organisations to model regulatory scenarios prospectively — when a payer announces a rate change or a regulation is updated, the financial impact can be modelled immediately across affected service lines and cost centres. Value-based care compliance requirements, including readmission rates and clinical quality targets, can be integrated into the financial planning model so that the trade-off between clinical performance and financial performance is visible during planning rather than revealed in the board report.
What is the connection between workforce planning and healthcare EPM?
Labour typically represents 60% or more of a healthcare organisation's operating costs. A connected EPM model expresses labour cost as a function of patient volume, case mix index, and staffing ratios — the operational drivers that determine what labour actually costs in each period. When patient acuity rises or volume shifts, the workforce cost model updates automatically rather than requiring a manual reforecast. This connection between clinical demand and financial cost is one of the highest-value capabilities in healthcare EPM.
What EPM platforms are suited to healthcare?
Anaplan, Jedox, and OneStream all support healthcare planning requirements including multi-entity consolidation, scenario modelling for reimbursement and regulatory scenarios, workforce cost driver modelling, and compliance reporting integration. The right platform depends on the organisation's size, existing ERP and clinical system landscape, and specific regulatory environment. Keansa's Healthcare practice conducts platform-agnostic assessments to identify the right fit.
Where should a healthcare CFO start with EPM?
Start with workforce cost modelling — it is the largest, most volatile cost driver and the highest-value connection to make in a healthcare EPM environment. Then connect revenue cycle data so that payer contract changes update the revenue forecast automatically. Then build pre-modelled reimbursement and regulatory scenarios so that policy changes can be assessed financially before they appear in actuals. Data governance across clinical, operational, and financial systems should be established before platform deployment begins.
Related Resources
In healthcare, a disconnected plan does not just produce a variance report. It produces a margin that erodes quietly until it becomes a crisis that could have been avoided.
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