Financial Planning, Budgeting and Forecasting
This domain tests how a healthcare organization builds a budget from volume drivers and how it explains the gap between budget and actual results. Expect questions on the statistics budget, flexible budgeting, variance decomposition, and forecasting assumptions.
Budget architecture
The statistics budget comes first because every other budget depends on volume: discharges, patient days, adjusted discharges (discharges multiplied by total gross revenue divided by inpatient gross revenue), case mix index, outpatient visits, and RVUs. Revenue is then built net of contractual allowances, denials, and payer mix, followed by expense (FTEs times wage rates, plus supplies and purchased services), capital, and cash budgets. Common approaches are incremental, zero-based, driver-based, and rolling forecasts; driver-based models link cost to volume and are easier to flex later.
Variance analysis
Flex the budget to actual volume, then separate volume, rate, and efficiency effects. Revenue variance equals the volume effect plus the rate effect; expense variance splits price from quantity. Static-budget comparisons mix volume effects with performance and are misleading for cost control.
Worked example
Laboratory budget: 10,000 tests, $50 net revenue per test, $18 variable supply cost, $200,000 fixed cost. Actual: 11,000 tests, $495,000 net revenue, $209,000 supplies, $205,000 fixed.
Flexed budget: revenue 11,000 times $50 = $550,000; supplies 11,000 times $18 = $198,000; fixed $200,000; margin $152,000. Actual margin = 495,000 minus 209,000 minus 205,000 = $81,000. The $71,000 shortfall decomposes into a rate variance of minus $55,000 (($45 minus $50) times 11,000), a supply spending variance of minus $11,000, and a fixed spending variance of minus $5,000. The extra 1,000 tests added $32,000 of contribution, which partly offset those shortfalls.
Traps that cost marks
- Comparing actual results to a static budget and labeling volume effects as overspending.
- Flexing revenue but not variable expense.
- Ignoring payer-mix or case-mix shift embedded in a revenue variance.
- Forecasting a single point estimate with no seasonality or sensitivity range.