12 Nov A Comprehensive Guide for Medical Practitioners and Practice Managers Navigating Australia’s Evolving Bulk Billing Landscape
The November 2025 expansion of bulk billing incentives and the new Bulk Billing Practice Incentive Program (BBPIP) have fundamentally changed the economics of general practice. For the first time, practices can access meaningful financial support for bulk billing all Medicare-eligible patients—not just concession card holders and children.
But is full bulk billing right for your practice? The answer lies in the data.
This guide outlines the minimum data set you need to build an accurate financial model comparing mixed billing with full bulk billing, so you can make an evidence-based decision about your practice’s future.
Why Model Before You Switch?
Moving from mixed billing to bulk billing—or vice versa—affects every aspect of your practice: revenue, patient access, GP satisfaction, administrative workload, and competitive positioning. Without robust modelling, you’re making a multi-hundred-thousand-dollar decision in the dark.
The good news? With the right data inputs, you can quantify the income gap between models, stress-test assumptions, and forecast the true financial impact on both your practice and your GPs.
The Essential Data Set; What to Collect
1. Patient and Service Volumes
Start with a complete picture of what your practice actually delivers:
- Annual MBS service counts by consultation type: Break down Level A, B, C, D, and E consultations, chronic disease management plans and reviews, health assessments, mental health treatment plans and reviews, telehealth consultations (phone and video), and other GP items your clinic provides.
- Service split by modality and setting: Separate in-person, phone, video, home visits, and after-hours services. Incentive eligibility and payment rates vary by modality, so lumping them together will distort your model.
- Patient cohort breakdown: Track the proportion of services delivered to children under 16, Commonwealth concession card holders, DVA patients, and other Medicare-eligible adults. Even though BBI now covers all patients, these splits remain important for legacy incentive benchmarking and transition modelling.
- Practice location classification: Record your Modified Monash Model (MMM) classification (1–7) and any rural loading exposure. Location affects incentive rates and eligibility for programs like the Workforce Incentive Program.
Why it matters: Service volume and mix are the foundation of your revenue model. Without granular data, you can’t accurately apply MBS rebates, incentives, or forecast demand changes.
2. Current Fees and Billing Mix
Understand your baseline revenue model:
- Private fee schedule: Document your current fees for every consultation type and modality—standard, long, prolonged, care plans, reviews, mental health items, telehealth—including any differential pricing for weekends or after-hours.
- Billing mix by item type: Calculate the percentage of services bulk billed versus privately billed for each service category and modality. Include any same-day discounting or write-offs that reduce actual revenue.
- Average gap collected: For each privately billed item type, calculate the average gap (your private fee minus the MBS rebate). This is your current mixed-billing revenue premium.
Why it matters: Your current billing mix is the baseline against which all scenarios are compared. If you don’t know your true average gap and bulk-billing rate by service type, you can’t measure the financial impact of change.
3. MBS and Incentive Parameters
Apply the correct payment rules to your service volumes:
- MBS rebate schedule: Use current MBS rebate values for each service type your GPs provide during your modelling period.
- Bulk Billing Incentive (BBI) applicability: Map BBI item numbers and payment amounts to each service type and modality you deliver. Include the November 2023 triple-incentive rules for priority cohorts as your historical baseline, and model the 1 November 2025 expansion of BBI eligibility to all Medicare-eligible patients for forward scenarios.
- Bulk Billing Practice Incentive Program (BBPIP) parameters: From 1 November 2025, practices that bulk bill all eligible services can access an additional 12.5% incentive on every dollar of MBS benefit for eligible services. Key requirements and inputs include:
- Participation requires bulk billing all eligible services.
- The 12.5% incentive is split evenly between the GP and the practice—capture your internal revenue-sharing agreement to allocate income correctly.
- Record whether your practice intends to register for BBPIP and the timing, as this affects modelling from your registration date.
- Other incentive programs: Include any programs affected by your billing model that influence net revenue, such as the Workforce Incentive Program – Practice Stream (WIP-PS) and associated loadings or caps. Collect current eligibility status, Standardised Whole Patient Equivalent (SWPE) data, and payment levels to maintain accuracy in total practice income projections.
Why it matters: Incentive payments can add 20–40% to your bulk billing revenue. Applying the wrong rates or missing eligibility rules will make your model dangerously inaccurate.
4. Practice Participation Status and Prerequisites
Ensure you meet the conditions for incentive programs:
- Accreditation and MyMedicare status: BBPIP requires practices to be accredited and registered with MyMedicare (or have a transitional exemption for unaccredited practices). Document your current status and planned timeline to meet requirements.
- National Health Service Directory listing: BBPIP participation requires your practice to be listed in the National Health Service Directory for promotion purposes. Record your listing status and implementation timeline.
Why it matters: If you don’t meet participation prerequisites, you can’t access BBPIP revenue—and your model will overstate bulk billing income.
5. Cost and Capacity Assumptions
Revenue is only half the equation. Model the cost side:
- GP remuneration model: Document the percentage of billings retained by the practice versus paid to GPs. This split determines how you apportion BBPIP’s 12.5% incentive and calculate total revenue impact under each billing model.
- Demand and throughput changes: Estimate how patient volume might change if you move to full bulk billing (e.g., a 10–20% appointment volume uplift). Re-forecast service counts under the new model to reflect this demand shift.
- Operational cost impacts: Quantify additional administrative costs, EFTPOS or merchant fees avoided or added, billing workflow changes, and staffing costs if volume increases. Include after-hours coverage costs if relevant to your service mix.
Why it matters: A model that ignores cost changes will mislead you. Higher patient volume sounds great until you realise you need another nurse and receptionist to manage it.
6. Scenario Controls and Sensitivity Inputs
Build flexibility into your model:
- Effective dates for scenarios: Separate modelling periods for pre–1 November 2025 rules and post–1 November 2025 rules to reflect BBI expansion and BBPIP availability.
- BBPIP-eligible service mix: Estimate the share of Level B, C, D, E consultations, care plans, and reviews at your clinic, because the 12.5% uplift applies per eligible service’s MBS benefit.
- Telehealth mix and MyMedicare constraints: Model telehealth assumptions carefully, as historical triple incentive rules and current eligibility differ by modality and patient registration status.
Why it matters: Single-point estimates are fragile. Sensitivity analysis lets you test “what if” scenarios and understand which variables drive your decision.
7. Data for Validation and Benchmarking
Validate your model against reality:
- 12-month MBS claims export: Pull item-level claims data (counts, benefits paid, bulk bill flags) for the prior 12 months to baseline your mixed billing model accurately and feed into calculators.
- PHN/Department calculator inputs and outputs: Retain inputs and outputs from official calculators (MMM, service volumes by type, bulk-billing rates, average private fees, percentage concession/children, split-to-practice percentage) for audit and alignment.
Why it matters: If your model doesn’t reconcile with your actual MBS claims, it’s wrong. Validation is your quality control.
Decision Outputs; What to Calculate
Once you’ve collected the data, your model should produce three key outputs:
1. Mixed Billing Baseline
Calculate total revenue under your current model:
- Private-fee revenue for privately billed services
- MBS benefits for private services
- BBI earned on eligible bulk-billed services (pre-change and post-change scenarios)
2. Full Bulk Billing Scenario
Calculate total revenue if you bulk bill all eligible services:
- MBS benefit for all services
- Expanded BBI to all Medicare-eligible patients
- BBPIP 12.5% incentive (if participating), correctly split between GP and practice based on your internal agreement
3. Net Revenue Comparison
Compare practice-level and provider-level revenue across both scenarios, including:
- Sensitivity to service mix changes
- Demand uplift assumptions
- Rural loadings where relevant
- Cost impacts (staffing, admin, throughput)
Making the Decision
The data will tell you whether bulk billing closes, widens, or reverses the income gap for your practice. But the decision isn’t purely financial. Consider:
- Patient access and equity: Will bulk billing improve access for your community?
- GP satisfaction and retention: How will the change affect your doctors’ income and workload?
- Competitive positioning: What are other practices in your area doing?
- Long-term sustainability: Can you maintain quality of care and financial viability under the new model?
Getting Started
If you’re ready to model your options:
- Gather your data: Use this guide as a checklist. Start with 12 months of MBS claims data and your current fee schedule.
- Use official calculators: The Department of Health’s bulk billing incentives calculator is a good starting point for high-level estimates.
- Build a detailed model: For a robust business case, build a custom model that reflects your unique service mix, GP agreements, and cost structure.
- Seek expert advice: Consider engaging a healthcare business consultant or accountant with expertise in general practice revenue modelling to validate your assumptions and outputs.
Final Thoughts
The 2025 bulk billing reforms represent the most significant shift in general practice economics in a generation. Practices that rigorously model the impact—using real data, conservative assumptions, and sensitivity analysis—will make better decisions and position themselves for long-term success.
Don’t guess. Model it.
Written by Praba Ganeshan, CPA
Reachable for further discussion at (03) 9853 3007 or email praba@aspirepartners.com.au
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