Provider & Infusion Capacity Calculator
Physician, APP and hospital/office mix alongside chair utilisation — and which of the three is actually your ceiling.
Illustrative assumptions. Default values here are example inputs for demonstration only — not validated reimbursement rates, costs or benchmarks. Replace every field with your own practice’s figures.
Effective monthly capacity
336 infusions
Chairs is the binding constraint. You are 84 infusions short of your target — the target is not deliverable as configured.
The two ceilings
- Clinical encounters per month76 hospital + 62 office sessions
- 1,019
- Infusion binding constraint
- Chairs
- Capacity at full utilisation
- 336 / mo
- Utilisation implied by your targetAbove 90% of effective capacity leaves no room for variability
- 125%
- Contribution at full capacity
- $70,762
- Break-even volume
- 181 / mo
- Result at target volume
- $50,200
Run this twice more before committing capital: once at a materially lower utilisation than you expect, and once with contribution per infusion reduced. If the project only works at optimistic fill and today’s drug economics, it is underwriting two separate risks at the same time.
How this is calculated
- Clinical capacity = (physicians + APPs) × sessions per week × 4.33, split by your hospital/office share and multiplied by encounters per session type.
- Chair capacity = (chairs × hours × days × 4.33 × utilisation) ÷ average chair time.
- Nursing capacity uses the same formula with (nurses × safe concurrent patients) in place of chairs; the lower of the two is the infusion ceiling.
- Break-even volume = monthly fixed cost ÷ contribution per infusion.
What it does not do
- It does not set your nurse-to-patient ratio — that comes from your clinical policy and state requirements.
- It assumes a uniform average chair time; a wide mix of short and long infusions schedules less efficiently than the model implies.
- Clinical and infusion capacity are computed independently. It does not model the physician time that supervising an infusion service consumes.
Now that you have a number
Want to pressure-test this against your actual claims data?
This model is only as good as the assumptions you put into it. Persistex works with independent infectious disease practices on billing, coding and revenue cycle, and a practice review starts from your actual payment and denial data.
Prototype: these routes to a demonstration form. No data is transmitted or stored.
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