See Your Year-One Return in 30 Seconds
Three numbers about your practice. We'll show how much capacity Us2.ai adds, the additional echos that capacity buys you, and the net new revenue.
Us2.ai year-one ROI scenario
1 Your Practice Today
Just three numbers in your local currency. We'll handle the math.
Not sure where a number comes from? The data checklist says which system holds each one.
2 How You Get Paid
Pick how detailed you want to be.
Each new echo earns $205 on average, the value you set above. Total revenue from added echos: +$361,620 / yr.
Need code-level or payer-mix detail (e.g. GKV / PKV in Germany, SUS / ANS in Brazil, UCS / CSMBS / SSO in Thailand)? Switch to Advanced.
Allocate the additional echos across your billing codes. Defaults are seeded for a typical mix; override any field.
In bundled-payment markets (NL omzetplafond, DE G-DRG, JP DPC, TW NHI global budget, PH PhilHealth case rates, IN PM-JAY HBP), extra echos don't directly add revenue once the contracted ceiling is reached. Freed capacity is valued two ways instead: redeploying sonographer time (labor saving) or addressing waiting-list patients against a discounted bundle value (access recovery).
3 Your Investment
Us2.ai is priced per echo processed (base + additional).
Year-one impact Live
Updates as you change inputs.
| Retention |
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| Net year one |
A hard volume ceiling pays nothing on volume above your agreed budget, so the 0% column is a real outcome and not a worst case. It is also the labor-saving case on its own, which is the part of this model built on published wage and staffing data. The waiting-list columns depend on a diagnostic yield and a contract term we have not substantiated; treat them as a scenario you check against your own contract, not as a forecast.
Methodology. Time saved per echo = current time × % saved. Hours reclaimed = annual volume × time saved per echo ÷ 60. Additional echos = (hours reclaimed × 60) ÷ new time per echo. Revenue is calculated only on those additional echos. Investment is calculated on all echos Us2.ai processes (base + additional). Reimbursement defaults reflect public CMS schedules and customer billing data; actual payments vary by payer, geography, and contract. This is a planning aid, not a guarantee.
Methodology. Hours freed = annual TTE volume × minutes saved per scan ÷ 60. The access-recovery slider splits those hours. Hours routed to access recovery convert to waiting-list patients at a remaining slot of (45 - minutes saved) minutes, capped at the waiting-list size; leftover hours fall back to labor saving. Labor saving = hours remaining ÷ productive hours per FTE × fully loaded FTE cost. Access recovery = patients addressed × bundle value × recovery rate. Investment is charged on baseline volume plus patients addressed. The waiting list is a standing backlog of currently unscheduled patients, so its value is realized once while labor capacity recurs annually; the annual net once it clears is shown separately above. Labor capacity below one full FTE is redeployable time, not a headcount reduction, so count it as avoided cost only where your staffing plan converts it. This is a planning aid, not a guarantee.
Reopen this scenario with its inputs:
The rest of the committee pack (clearance, evidence, security review and a trial plan): https://us2.ai/resources/business-case/