Healthcare Financial Management Training Course

Participants can read and prepare core financial reports for a healthcare service.

• Chart of accounts structured by entity, department, service, payer, and cost
• Accrual accounting, matching principle, and materiality in clinical service reporting
• Income statement interpretation using revenue, operating expense, margin, and EBITDA
• Balance sheet relationships among receivables, inventories, payables, debt, and equity
• Cash flow statement classification of operating, investing, and financing movements
• Month-end close controls for payroll accruals, supplies, claims, and grants

Participants can assess revenue-cycle performance and identify sources of revenue leakage.

• Clean-claim rate measurement from first-pass adjudication and accepted submissions
• Days in accounts receivable segmented by payer, service, and ageing bucket
• Denial-rate analysis using eligibility, authorization, coding, and documentation categories
• Net collection rate compared with contractual allowance and write-off patterns
• Charge capture controls linking clinical documentation, coding, and billing records
• Payer scorecards covering volumes, payment timing, denials, and underpayments

Participants can classify healthcare costs and model their response to service-volume changes.

• Direct and indirect costs assigned to departments, procedures, and patient episodes
• Fixed, variable, stepped, and mixed costs within healthcare operating models
• Relevant-cost analysis for staffing, outsourcing, expansion, and service closure decisions
• Cost drivers including bed-days, theatre hours, tests, visits, and occupied space
• High-low method estimating variable cost rates from activity observations
• Cost behaviour assumptions tested against capacity limits and workforce availability

Participants can calculate service costs using activity-based costing and operational drivers.

• Activity-based costing principles applied to patient pathways and diagnostic procedures
• Resource pools established for nursing, imaging, laboratory, pharmacy, and facilities
• Cost-driver selection using causality, measurability, materiality, and data availability
• Activity rates calculated from practical capacity and annual resource costs
• Patient-level costing assembled from clinical activities, consumables, and overhead allocations
• Costing limitations caused by incomplete records, shared resources, and idle capacity

Participants can evaluate service-line financial performance using contribution and break-even analysis.

• Contribution margin calculated after variable clinical, supply, and payer-related costs
• Break-even volume derived from fixed costs and unit contribution margin
• Service-line profitability separated from departmental allocations and corporate overheads
• Capacity utilisation effects on margin, staffing ratios, and unit cost
• Make-or-buy decisions assessed through avoidable costs and quality requirements
• Margin bridge analysis explaining changes in volume, price, mix, and cost

Participants can translate demand assumptions into financially usable activity forecasts.

• Patient-demand forecasts built from historical volumes, referrals, seasonality, and waiting lists
• Forecast drivers linked to admissions, visits, procedures, tests, and bed-days
• Capacity plans balancing clinical demand, appointment slots, staffing, and equipment
• Scenario assumptions for payer changes, outbreaks, service expansion, and referral shifts
• Forecast accuracy measured using mean absolute percentage error and bias
• Activity plans reconciled with revenue budgets, workforce plans, and cash needs

Participants can prepare an operating budget from activity, staffing and cost assumptions.

• Budget architecture linking strategic priorities, service plans, and financial targets
• Revenue budgets calculated from activity volumes, tariffs, payer mix, and collection assumptions
• Workforce budgets built from establishment, vacancies, pay rates, and overtime
• Non-pay budgets covering drugs, implants, diagnostics, maintenance, and purchased services
• Zero-based budgeting used to challenge discretionary spending and legacy assumptions
• Budget narratives documenting owners, assumptions, risks, dependencies, and approval limits

Participants can distinguish volume effects from controllable cost and revenue variances.

• Flexible budgets restated for actual activity volumes and revised workload drivers
• Price variance isolates changes in pay rates, supplies, tariffs, and contracts
• Volume variance measures financial effects of admissions, visits, procedures, and tests
• Efficiency variance identifies resource consumption differences from expected clinical standards
• Favourable and adverse variances investigated using threshold-based exception reporting
• Corrective actions assigned with owners, dates, expected savings, and verification measures

Participants can design management reports that support timely healthcare financial decisions.

• Monthly management packs combining finance, activity, quality, workforce, and access measures
• Balanced Scorecard perspectives adapted for financial stewardship and patient care
• KPI definitions specifying numerator, denominator, source, owner, frequency, and threshold
• Waterfall charts explain monthly changes in revenue, expenditure, and operating margin
• Variance commentary separates facts, causes, implications, and management actions
• Board reports distinguish strategic decisions from routine operational performance monitoring

Participants can manage receivables, payables and cash requirements using rolling forecasts.

• Cash conversion cycle measured through receivables, inventory, payables, and operating cash
• Thirteen-week rolling cash forecast built from receipts, payroll, suppliers, and debt service
• Receivables actions prioritised by ageing, payer dispute, materiality, and recovery probability
• Inventory controls address pharmaceutical expiry, stockouts, consignment, and reorder levels
• Payables scheduling balances supplier terms, service continuity, discounts, and liquidity
• Cash contingency plans identify funding triggers, approvals, and escalation routes

Participants can apply financial controls to common healthcare transaction and fraud risks.

• COSO Internal Control framework applied to healthcare finance processes
• Segregation of duties across purchasing, receiving, invoice approval, and payment
• Delegated authority matrices define spending limits, approvals, and escalation requirements
• Procurement controls test vendor onboarding, competitive quotes, contracts, and conflicts
• Fraud indicators include duplicate payments, phantom vendors, upcoding, and payroll anomalies
• Reconciliations verify bank balances, patient accounts, inventory records, and general ledger

Participants can develop capital plans that account for asset cost, life and service need.

• Capital expenditure categories include buildings, medical equipment, digital systems, and vehicles
• Asset lifecycle costs cover acquisition, installation, maintenance, consumables, and replacement
• Capital prioritisation criteria assess clinical need, safety, capacity, compliance, and returns
• Depreciation methods compared for financial reporting, budgeting, and replacement planning
• Equipment utilisation measured through available hours, booked hours, downtime, and throughput
• Capital approval papers specify options, assumptions, benefits, risks, and funding sources

Participants can assess healthcare investment proposals using financial and non-financial criteria.

• Net present value discounts projected cash flows using an approved hurdle rate
• Internal rate of return compared with funding costs and investment thresholds
• Payback period identifies liquidity exposure before project cash recovery
• Sensitivity analysis tests volume, tariff, staffing, inflation, and implementation assumptions
• Scenario analysis compares base, downside, and upside cases for major investments
• Non-financial benefits document quality, safety, access, workforce, and compliance impacts

Participants can assess financing options and their effect on financial sustainability.

• Funding sources compared across operating surplus, grants, debt, leases, and donations
• Debt-service coverage ratio measures capacity to meet principal and interest obligations
• Loan covenants monitored through liquidity, gearing, profitability, and reporting conditions
• Lease-versus-buy analysis compares cash flows, asset control, risk, and flexibility
• Restricted funds tracked against donor conditions, eligible costs, and reporting obligations
• Financial sustainability assessments connect future demand, cost inflation, funding, and reserves

Participants can assess payer contract terms and quantify their financial consequences.

• Contract rate analysis compares agreed tariffs with actual claims reimbursements
• Reimbursement schedules tested against procedure codes, modifiers, and bundled-service rules
• Stop-loss provisions assess exposure to high-cost patient episodes and outliers
• Risk corridors define shared financial exposure under capitation and value-based contracts
• Contractual adjustment forecasts estimate expected reductions from gross charges to revenue
• Negotiation evidence includes utilisation, quality outcomes, market rates, and cost data

Participants can connect clinical quality measures with financial performance and payer incentives.

• Value-based payment links reimbursement to outcomes, experience, access, and cost
• Readmission rates analysed for penalty exposure, avoidable cost, and care coordination
• Length-of-stay performance connects bed capacity, staffing, discharge planning, and margin
• Quality-cost analysis distinguishes prevention costs, appraisal costs, failures, and harm
• Population-health budgets allocate resources across prevention, chronic care, and acute episodes
• Clinical-finance partnerships frame improvement projects with measurable financial benefits

Participants can identify financial risks and prepare quantified response plans.

• Risk registers document probability, impact, controls, owners, triggers, and responses
• Sensitivity models quantify exposure to inflation, wage pressure, tariff cuts, and demand
• Stress tests assess liquidity under delayed payments, volume shocks, and supply disruption
• Contingency reserves sized against defined operational and financial risk scenarios
• Early-warning indicators track covenant headroom, cash runway, denials, and staff costs
• Business continuity finance plans prioritise critical services, suppliers, payroll, and funding

Participants can communicate healthcare financial findings in decision-ready formats.

• Audience analysis distinguishes board, executive, clinical, operational, and funder information needs
• Executive summaries state decision required, financial impact, risks, and recommended action
• Financial narratives link patient activity, quality outcomes, operational causes, and money
• Data visualisation selects tables, trends, bridges, and heat maps appropriately
• Assumption registers expose uncertainty, data gaps, dependencies, and required approvals
• Challenge sessions test recommendations against clinical priorities, affordability, and evidence

Participants can build, review and present a complete financial management plan for a healthcare service.

• Service profile defines population served, clinical scope, capacity, and payer mix
• Revenue model forecasts activity, tariffs, contractual adjustments, and collection timing
• Cost model assigns workforce, supplies, overheads, and capital-related expenditure
• Operating budget includes flexible assumptions, variance thresholds, and accountable owners
• Cash forecast identifies working-capital actions, funding needs, and liquidity triggers
• Investment case applies net present value, sensitivity analysis, and non-financial benefits