Home · Interactive tool

Hospital finance model

Estimated effects of Medicare payment rates on a hospital

Community nonprofit · A 300-bed community hospital with a balanced payer mix · annual operating expense of $500 million. Policy scenario modeled: All payers at Medicare.

Notes on data and methods. All inputs for this illustrative hospital are benchmarks selected to fall within ranges reported in published sources. They have not been reconciled to a specific source year or to any actual institution. The results are intended to show the structure of the problem and the direction of the effects rather than precise magnitudes. An analyst applying the model to a particular institution should replace the inputs in assumptions/ with that institution's cost report and payroll data.

Key findings

Operating margin, baseline
+2.5%
$13M on $513M revenue
Margin at Medicare rates
−22.4%
−$92M a year, before any response
Change in revenue
−20.4%
−$104M a year
Cash exhausted in
3.1 yrs
Liquidity covenant breached in 2.2 years

Baseline financial position

The payment-to-cost ratio is the payment the hospital receives from a payer for each dollar of cost incurred to treat that payer's patients. Where the ratio is below 1.00, payments fall short of the cost of care for that payer's patients; where it is above 1.00, payments exceed that cost. Table 1 reports the ratios, revenue, and cost of care by payer at baseline.

Table 1. Baseline revenue, cost of care, and payment-to-cost ratio by payer

PayerShare of carePayment-to-cost ratioRevenueCost of careSurplus or shortfall
Medicare44%0.84$185M$220M−$35M
Medicaid19%0.80$76M$95M−$19M
Commercial29%1.59$230M$145M+$85M
Uninsured (self-pay)6%0.10$3.0M$30M−$27M
Other government2%0.90$9.0M$10.0M−$1.0M
Other operating revenue$10.0M+$10.0M
Total100%$513M$500M+$13M

Source: Model calculations based on the hospital inputs described in the notes above.

Show baseline cost structure (labor of $280M, 56% of operating expense)

Table 2. Baseline operating expense by category

Cost lineFTEAverage wageAnnual costShare of expense
Employed physicians110$380,000$52M10.4%
NPs / PAs70$135,000$12M2.3%
Registered nurses620$98,000$75M15.1%
LPNs, aides, techs380$48,000$23M4.5%
Pharmacy, lab, imaging, therapy330$85,000$35M7.0%
Billing, coding, payer admin150$58,000$11M2.2%
Executives and managers90$190,000$21M4.2%
IT, HR, finance, quality210$80,000$21M4.2%
Environmental, food, facilities300$42,000$16M3.1%
Agency (contract) labor$15M3.0%
Drugs$42M8.4%
Devices and implants$22M4.4%
Medical/surgical supplies$30M6.0%
Purchased services$44M8.8%
Billing/insurance vendors$6.0M1.2%
Malpractice and insurance$9.0M1.8%
Utilities and facilities$14M2.8%
Depreciation$28M5.6%
Interest$8.0M1.6%
Marketing$3.0M0.6%
Other expense$14M2.8%
Total2,260$500M100%

Source: Model calculations based on the hospital inputs described in the notes above.

Staff costs include benefits and payroll taxes at 24% of wages.

Effect of Medicare payment rates

Under the All payers at Medicare scenario, the model estimates that commercial revenue would fall by $108 million (47 percent). Medicaid revenue would rise by $3.8 million, because Medicare's payment-to-cost ratio exceeds Medicaid's at this hospital. Costs are held at baseline levels in this step, on the assumption that the same patients receive the same care.

Figure 1. Patient revenue by payer, baseline and at Medicare rates

MedicareMedicaidCommercialUninsured (self-pay)Other government
Baseline$185M$76M$230M$503MAt Medicare rates$185M$80M$122M$398M
Source: Model calculations based on the hospital inputs described in the notes above.

Single-change equivalents of the gap

The calculations in Table 3 are not response scenarios. They indicate the scale of the $92 million annual gap by showing how large a single type of change would have to be to close it.

Table 3. Size of a single change that would close the gap

If the only change wereRequired magnitude
An across-the-board reduction in pay and benefits for all employees35%
Staff reductions at average cost, with no change in pay782 FTE (35% of staff)
A reduction in the pay of employed physicians1.8 times the entire physician payroll
A reduction in the pay of executives and managers4.3 times the entire management payroll
A reduction in prices paid for drugs, devices, supplies, and purchased services64% of all such spending
Higher payment rates rather than lower costs1.45x Medicare paid by every repriced payer

Source: Model calculations based on the post-policy cost base.

Duration of cash reserves

The hospital begins with 200 days cash on hand ($258 million). With no response, the model estimates that days cash on hand would fall below the 60-day liquidity covenant in 2.2 years and that cash would be exhausted in 3.1 years. Lenders, rating agencies, and vendors may respond when the covenant is breached rather than when cash reaches zero.

Figure 2. Days cash on hand by year and response scenario

No responseConventional turnaroundAggressive restructuringSystem redesign
02004006008001,000012345678910Years after the payment changeLiquidity covenant, 60 days849 System redesign95 Aggressive restructuring0 No response0 Conventional turnaround
Values are shown as zero once cash is exhausted. Figures are in constant dollars. Capital spending is assumed to equal depreciation unless deferred, debt principal payments are excluded, and restructuring begins in year 1. Source: Model calculations.

Restructuring levers

The model includes 27 restructuring levers in five groups. Each lever is applied to the cost base that remains after the preceding levers, so annual operating gains are additive without double counting. For example, a compensation reduction applies only to staff who remain employed after workforce changes. Compensation reductions include a turnover offset that returns part of the gross savings through turnover and backfill. Gains from the insurance overhead levers are scaled by the share of payer administrative complexity that the policy scenario removes (50 percent in this scenario).

Figure 3. Annual operating gain by restructuring lever, base level

Within hospital controlRequires market-wide changeRequires policy change
Reduce employed physician compensation$5.7MLower drug acquisition costs$5.0MAlign clinical staffing with benchmarks$5.0MRenegotiate or insource purchased services$4.4MReduce employee benefits$3.9MConvert agency staff to employees$3.4MDefer capital spending$3.4MReduce executive and management compensation$3.3MAutomate and consolidate administrative functions$3.2MReduce management layers$3.2MSubstitute NPs and PAs for physicians$2.9MShift nursing work from RNs to LPNs and aides$2.9MLower device and implant costs$2.6MReduce registered nurse compensation$2.6MReduce billing and payer administration staff$2.4MLower medical and surgical supply costs$2.4MReduce billing and collection vendor spending$1.5MClose service lines with the largest losses$1.4MReduce discretionary spending$1.4MReduce claim denials and underpayments$1.4MReduce clinician time on payer requirements$1.3MReduce allied health and clinical support compensation$1.3MEliminate payer contracting and related marketing$1.0MReduce administrative and support staff compensation$1.0MLower utility, lease, and facilities costs$0.7MReduce NP and PA compensation$0.5MLower malpractice and insurance costs$0.5M
Source: Model calculations.

Table 4. Annual operating gain by restructuring lever and level

Restructuring leverControlSize (low / base / high)LowBaseHighPrincipal risk
Workforce configuration$11M$21M$35M
Convert agency staff to employeesHospital40% / 60% / 80%$2.2M$3.4M$4.5MConversion depends on the hospital's ability to recruit permanent staff, which becomes more difficult if nurse compensation is reduced at the same time.
Align clinical staffing with benchmarksHospital2% / 4% / 7%$2.5M$5.0M$8.8MLower staffing levels may increase burnout and adverse events, and nurse staffing laws limit reductions in some states.
Shift nursing work from RNs to LPNs and aidesHospital4% / 8% / 15%$1.4M$2.9M$5.3MResearch has associated a lower proportion of registered nurses in the nursing workforce with higher patient mortality and lower quality of care.
Substitute NPs and PAs for physiciansHospital5% / 10% / 20%$1.4M$2.9M$5.8MState scope-of-practice laws limit substitution in some states, and substitution is not appropriate for many procedural specialties.
Reduce management layersHospital8% / 15% / 25%$1.7M$3.2M$5.3MReducing management capacity may impair the hospital's ability to carry out the restructuring itself.
Automate and consolidate administrative functionsHospital5% / 12% / 20%$1.4M$3.2M$5.4MAutomation requires upfront investment in technology, and savings often materialize later than planned.
Insurance overhead$4.0M$7.6M$12M
Reduce billing and payer administration staffPolicy12% / 22% / 32%$1.3M$2.4M$3.5MSavings depend on payers adopting a common fee schedule and rule set. Coding and compliance functions would remain under any payment system.
Reduce billing and collection vendor spendingPolicy15% / 25% / 35%$0.9M$1.5M$2.1MExisting vendor contracts may include termination penalties or minimum terms.
Reduce clinician time on payer requirementsPolicy0.5% / 1.0% / 2.0%$0.7M$1.3M$2.5MTime freed from administrative tasks produces savings only if it results in fewer positions or additional billable services.
Eliminate payer contracting and related marketingPolicy1% / 2% / 3%$0.5M$1.0M$1.4MThe reduction in marketing assumes that hospitals no longer compete for commercially insured patients.
Reduce claim denials and underpaymentsPolicy0.1% / 0.4% / 0.6%$0.6M$1.4M$2.4MMedicare also audits and denies claims, so the gain reflects only the difference from current commercial practice.
Purchasing$7.3M$17M$37M
Lower drug acquisition costsPolicy5% / 12% / 30%$2.1M$5.0M$13MThe high level assumes international reference pricing. Lower acquisition prices would also reduce 340B program savings for eligible hospitals, an effect the model does not capture.
Lower device and implant costsHospital5% / 12% / 30%$1.1M$2.6M$6.6MSavings require physicians to agree to standardized products, and the high level assumes price transparency or reference pricing requirements.
Lower medical and surgical supply costsHospital3% / 8% / 15%$0.9M$2.4M$4.5MMost hospitals already purchase through group purchasing organizations, so many of the most readily available savings have been realized.
Renegotiate or insource purchased servicesHospital5% / 10% / 18%$2.2M$4.4M$7.9MVendors face the same labor cost pressures as hospitals, and multiyear contracts delay savings.
Lower malpractice and insurance costsPolicy0% / 5% / 20%$0.0M$0.5M$1.8MThe high level depends on enactment of tort reform.
Lower utility, lease, and facilities costsHospital2% / 5% / 10%$0.3M$0.7M$1.4MThis category accounts for a small share of hospital spending, which limits potential savings.
Reduce discretionary spendingHospital5% / 10% / 15%$0.7M$1.4M$2.1MReductions in training and community programs may affect workforce development and community benefit activities.
Capital and footprint$2.5M$4.8M$6.0M
Defer capital spendingHospital5% / 12% / 20%$1.4M$3.4M$5.6MDeferral improves cash flow quickly but affects operating income only gradually, and deferred investment in facilities and equipment creates future obligations.
Close service lines with the largest lossesHospital2% / 4% / 8%$1.1M$1.4M$0.4MClosures reduce community access to affected services, and shared overhead costs remain after a service closes.
Compensation$6.0M$18M$35M
Reduce executive and management compensationHospital10% / 20% / 35%$1.8M$3.3M$4.9MExecutive compensation reductions are often a precondition for broader concessions from staff, but they produce relatively small savings.
Reduce employed physician compensationMarket5% / 15% / 30%$2.0M$5.7M$9.7MPhysicians generate referrals and admissions. The high level would bring compensation closer to levels in other high-income countries and assumes that all employers in the market make similar reductions.
Reduce NP and PA compensationMarket0% / 5% / 10%$0.0M$0.5M$1.2MReductions may conflict with a strategy of relying more heavily on nurse practitioners and physician assistants.
Reduce registered nurse compensationMarket0% / 5% / 15%$0.0M$2.6M$6.8MNurses may leave bedside practice or the profession, collective bargaining agreements may limit reductions, and higher vacancy rates may increase reliance on agency staff.
Reduce allied health and clinical support compensationMarket0% / 3% / 8%$0.0M$1.3M$3.3MWages for aides and technicians are already close to those in retail and warehouse employment, which gives these workers ready alternatives.
Reduce administrative and support staff compensationMarket0% / 3% / 8%$0.0M$1.0M$2.3MAdministrative and support skills transfer readily to other industries, which increases the risk of turnover.
Reduce employee benefitsMarket5% / 10% / 20%$2.2M$3.9M$6.4MBenefit reductions affect all employees at once and may increase turnover across the workforce.
All levers$30M$68M$125MGap to be closed: $92M

Source: Model calculations based on the lever assumptions in Appendix A.

Gains by level of control

Table 5. Annual operating gain by degree of hospital control

Aggressive restructuring (base levels)System redesign (high levels)
Within hospital control$40M$69M
Requires market-wide change$15M$30M
Requires policy change$13M$26M
Total$68M$125M
Gap to be closed$92M$92M

Source: Model calculations based on the lever assumptions in Appendix A.

Compensation levers are classified as dependent on the labor market because a hospital that reduces pay while competitors do not would be likely to lose staff to them. If all hospitals face the same payment rates, the alternative for staff is employment outside health care, which would produce a slower but still material loss of workers.

Response scenarios

Table 6 reports results for the four response scenarios defined in the model, each applied under the All payers at Medicare scenario.

Table 6. Results by response scenario

Response scenarioAnnual operating gainCost reductionFinal operating marginFTE changeOne-time costLiquidity covenant breached inCash exhausted in
No response
The hospital makes no changes.
$0.0M0.0%−22.4%+0$0.0M2.2 years3.1 years
Conventional turnaround
Measures a hospital board would typically approve first, including operational improvements, purchasing savings, and capital discipline, without pay reductions for frontline staff.
$28M6.7%−15.7%-66$5.0M3.2 years4.4 years
Aggressive restructuring
All levers at their base levels, including compensation reductions for all staff, changes in skill mix, and service line closures.
$68M15.8%−5.9%-168$11Mnot within 10 yearsnot within 10 years
System redesign
All levers at their high levels. Compensation moves toward levels in other high-income countries, drug and device prices are regulated, and payer administrative complexity is eliminated. These changes are beyond the control of any single hospital.
$125M29.3%+8.5%-311$18Mnot within 10 yearsnot within 10 years

Source: Model calculations.

Figure 4. Operating income under aggressive restructuring, from baseline to end state

LevelLossGain
−$150M−$100M−$50M$0.0M$50M$13MBaselineoperatingincome+$3.8MMedicaidrepriced−$108MCommercialrepriced−$92MAt Medicarerates+$21MWorkforceconfiguration+$7.6MInsuranceoverhead+$17MPurchasing+$4.8MCapital andfootprint+$18MCompensation−$23MAfterresponse
Source: Model calculations.

Figure 5. Operating income under system redesign, from baseline to end state

LevelLossGain
−$150M−$100M−$50M$0.0M$50M$13MBaselineoperatingincome+$3.8MMedicaidrepriced−$108MCommercialrepriced−$92MAt Medicarerates+$35MWorkforceconfiguration+$12MInsuranceoverhead+$37MPurchasing+$6.0MCapital andfootprint+$35MCompensation$33MAfterresponse
Source: Model calculations.

Figure 6. Operating margin by year and response scenario

No responseConventional turnaroundAggressive restructuringSystem redesign
−30%−20%−10%0%10%012345678910Years after the payment change9% System redesign−6% Aggressive restructuring−16% Conventional turnaround−22% No response
Restructuring levers reach full effect over ramp-up periods of one to five years. In this policy scenario the payment change takes effect in year 1. Source: Model calculations.

Workforce effects

Labor accounts for 56 percent of operating expense, so response scenarios that close a substantial gap generally involve labor costs. Benefits are reduced separately (10 percent under aggressive restructuring and 20 percent under system redesign) and are included in the change in cost. Employment of nursing support staff may rise, because registered nurse hours shift to licensed practical nurses and aides and because agency nurses are converted to employees.

Aggressive restructuring

Table 7. Workforce effects of aggressive restructuring

Occupational groupFTE, beforeFTE, afterChangeWage, beforeWage, afterChangeChange in cost
Employed physicians11095−14%$380,000$323,000−15%−$15M
NPs / PAs7080+15%$135,000$128,250−5%+$0.8M
Registered nurses620564−9%$98,000$93,100−5%−$11M
LPNs, aides, techs380408+7%$48,000$46,560−3%+$0.5M
Pharmacy, lab, imaging, therapy330307−7%$85,000$82,450−3%−$4.0M
Billing, coding, payer admin150113−25%$58,000$56,260−3%−$3.1M
Executives and managers9074−18%$190,000$152,000−20%−$7.5M
IT, HR, finance, quality210175−17%$80,000$77,600−3%−$4.3M
Environmental, food, facilities300276−8%$42,000$40,740−3%−$1.9M
Agency (contract) labor−$9.2M
Total labor2,2602,092−7%−$55M

Source: Model calculations.

System redesign

Table 8. Workforce effects of system redesign

Occupational groupFTE, beforeFTE, afterChangeWage, beforeWage, afterChangeChange in cost
Employed physicians11081−27%$380,000$266,000−30%−$26M
NPs / PAs7089+28%$135,000$121,500−10%+$1.2M
Registered nurses620494−20%$98,000$83,300−15%−$26M
LPNs, aides, techs380429+13%$48,000$44,160−8%−$0.1M
Pharmacy, lab, imaging, therapy330287−13%$85,000$78,200−8%−$8.0M
Billing, coding, payer admin15095−37%$58,000$53,360−8%−$4.8M
Executives and managers9063−30%$190,000$123,500−35%−$12M
IT, HR, finance, quality210153−27%$80,000$73,600−8%−$7.5M
Environmental, food, facilities300258−14%$42,000$38,640−8%−$3.7M
Agency (contract) labor−$12M
Total labor2,2601,949−14%−$99M

Source: Model calculations.

Sensitivity of results to policy design

A policy of paying Medicare rates can take several forms. Whether Medicaid and uninsured patients are included, whether payers also adopt a common set of rules, and how quickly rates are reduced each change the results, in some cases by more than individual restructuring levers.

Table 9. Final operating margin by policy scenario and response scenario

Policy scenarioOperating income before responseNo responseConventional turnaroundAggressive restructuringSystem redesignCash exhausted in (no response)
Commercial capped at Medicare
Commercial insurers pay Medicare rates but retain their own coverage rules and administrative processes. Medicaid and uninsured patients are unaffected.
−$95M−23.6%−17.5%−8.2%+5.8%2.9 years
All payers at Medicare
Commercial insurers and Medicaid pay Medicare rates under a common fee schedule. Uninsured patients are unaffected.
−$92M−22.4%−15.7%−5.9%+8.5%3.1 years
All payers, 5-year phase-in
Identical to the all-payer scenario, except that payment rates decline to Medicare levels in equal steps over five years.
−$92M−22.4%−15.7%−5.9%+8.5%5.6 years
Single payer at Medicare
All residents are covered, and care is paid for at Medicare rates under a single set of rules. Patient volume increases by 3 percent.
−$65M−14.6%−7.3%+2.6%+16.8%4.4 years

Source: Model calculations.

Break-even payment level

Table 10. Payment level, as a multiple of Medicare, at which the hospital breaks even

Break-even payment level
No cost changes1.45x
After conventional turnaround1.32x
After aggressive restructuring1.12x

Source: Model calculations.

The model estimates that, combined with aggressive restructuring, a payment level of 1.12x Medicare would allow this hospital to break even. A payment level of 1.00x Medicare would not be sufficient under that response scenario.

Results for the illustrative hospital types

Table 11 compares five illustrative hospital types, which are not actual institutions. All five share one cost structure scaled to size and differ in payer mix and reserves. In these results, hospitals with the largest commercial share experience the largest decline in operating margin, and hospitals with smaller reserves exhaust cash sooner even where the decline in margin is smaller.

Figure 7. Operating margin by hospital type under the All payers at Medicare scenario

BaselineAt Medicare ratesAfter aggressive restructuring
−30%−20%−10%0%10%20%3−22−6Communitynonprofit3−17−1Academic medicalcenter9−19−3High-commercialsuburban−1−151Urban safety net0−5−3Rural criticalaccess
Source: Model calculations.

Table 11. Operating margin by hospital type and response scenario

HospitalOperating expenseCommercial shareCommercial payment relative to MedicareBaselineAt Medicare ratesConventionalAggressiveRedesignCash exhausted in (no response)
Community nonprofit
A 300-bed community hospital with a balanced payer mix
$500M29%1.89x+2.5%−22.4%−15.7%−5.9%+8.5%3.1 years
Academic medical center
A large teaching hospital with high-acuity patients and research and teaching costs
$2.00B30%1.73x+3.0%−16.8%−10.3%−0.8%+13.0%4.4 years
High-commercial suburban
A hospital in an affluent service area where nearly half of care is commercially insured
$600M46%1.68x+9.0%−18.9%−12.4%−2.8%+11.2%5.1 years
Urban safety net
A hospital serving a large share of Medicaid and uninsured patients, with relatively little commercial revenue
$700M12%2.37x−1.0%−14.6%−8.2%+1.1%+14.8%1.9 years
Rural critical access
A 25-bed critical access hospital paid by Medicare at 101 percent of cost, less sequestration
$40M22%1.32x0.0%−4.7%−4.1%−3.2%−1.6%5.2 years

Source: Model calculations based on the illustrative hospital inputs.

The critical access hospital is modeled as paid by Medicare at cost, so a reduction in its costs also reduces its Medicare-rate revenue. Cost reductions therefore improve its operating margin by less than they do for the other hospital types.

Uncertainty

Sensitivity to individual assumptions

Each bar in Figure 8 shows the final operating margin under aggressive restructuring when one assumption is changed and all others are held at their central values.

Figure 8. Final operating margin under aggressive restructuring, changing one assumption at a time

Worse than central caseBetter
Central case −5.9%Rates set at a multiple of Medicare0.95x1.15xMedicare payment-to-cost ratio-0.04+0.04Lever delivery vs. plan60%115%Uninsured share of care+4 pts-4 ptsPatient volume-3%+5%Payer-rule simplificationnonecompleteSavings lost to turnover2xnoneCommercial share of careno effect (+5 pts / -5 pts)
Source: Model calculations.

Variation in outcomes across lever sizes

The model simulated 3,000 restructurings. In each, every lever was drawn independently between its low and high level (most likely at the base level), and Medicare's payment-to-cost ratio varied within a narrow range. The median final operating margin across simulations is −4.0 percent. The hospital reaches break-even in 7 percent of simulations when compensation reductions are included and in 0 percent when they are excluded.

Figure 9. Distribution of final operating margin across simulated restructurings

−12%−10%−8%−5%−2%0%2%Break-evenOperating margin once all changes are in place
Source: Model calculations.

Limitations

The results should be interpreted in light of several limitations.

Generated 2026-11-12 by run.py. Changing the values in assumptions/*.yaml and rerunning the program changes the results above.