Cube vs. Mosaic for an Outpatient PT Network's Unit Billing

If your practice management or billing system already exports billed units by therapist and by payer, you have the raw material for a real forecast; if it only reports visit counts and total charges, that's a data gap to close before either tool can help. Confirm what level of detail your billing export actually provides before assuming a new forecasting platform will automatically surface unit-level insight it was never given.

A network with locations in different markets often has meaningfully different payer mixes, and since reimbursement per unit varies by payer, that means two locations with identical visit volume can generate different revenue. If payer mix is fairly uniform across your locations, a simpler blended forecast may be adequate; if it varies a lot, you need a tool that can track unit-level reimbursement by location, not just company-wide. A network expanding into a new market for the first time should expect its payer mix assumptions to need real revision once actual claims data comes in, rather than trusting an initial estimate carried over from existing clinics.

If your team already builds a unit-level revenue forecast tied to therapist utilization in a spreadsheet, Cube's approach of syncing that model against billing and scheduling data keeps the logic where it's understood, without asking anyone to rebuild unit-level formulas inside a new interface, which matters most when the current model's payer-specific reimbursement logic took real trial and error to get right.

Once you're running enough clinics that consolidating unit billing and therapist utilization in a spreadsheet becomes a real time cost each month, a dashboard rolling that up automatically can help. Confirm in a demo that Mosaic can track billed units and reimbursement by payer at the clinic level, not just total revenue, since unit-level detail is exactly what a generic revenue dashboard tends to flatten away.

A therapist's billable unit capacity in a day is finite, and a forecast that assumes revenue scales linearly with patient volume without accounting for therapist capacity will overstate how much growth existing staff can actually absorb. Track units billed per therapist per day against a realistic maximum, so a forecast that assumes hiring isn't needed for the next round of growth is grounded in actual capacity, not wishful scheduling. A clinic operating near its documented ceiling for weeks at a time is a clear signal that the next unit of growth has to come from added therapist headcount, not from squeezing more units out of the existing team.

Jirav's driver-based approach is useful when you're planning to add therapists or open a new clinic and want the model to show how many additional therapists a given growth target actually requires, based on realistic units-per-day assumptions, rather than a flat headcount guess applied across the network.

Many payers cap the number of visits or units they'll authorize for a given diagnosis before requiring a new referral or re-authorization, which means a patient's care plan can hit a reimbursement ceiling well before it's clinically complete. Build authorization limits into the forecast as their own constraint, separate from therapist capacity, so a clinic doesn't get modeled as if every plan of care runs its full clinically recommended length regardless of what a payer will actually pay for.

Export a quarter of billed units by therapist, payer, and CPT code and see how cleanly it maps into either tool's expected structure, since some billing systems only export total charges rather than unit-level detail by default and may need a configuration change before that data is available at all. Confirm the export distinguishes therapy CPT codes with different reimbursement rates, since treating all billable units as equivalent will misstate revenue for a clinic with a varied service mix.

Test these points before moving unit-level billing:

• Export a quarter of billed units by therapist, payer, and CPT code and see how cleanly it maps into either tool.
• Check whether your billing system exports unit-level detail or only total charges, since a configuration change may be needed first.
• Confirm the export distinguishes therapy CPT codes that reimburse differently.
• Verify the tool tracks billed units and reimbursement by payer at the clinic level.
• Build authorization limits and units per therapist per day into the forecast as separate constraints.