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    ReferralPulse ROI Calculator

    Budget Impact Model — Estimate your practice's financial return

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    Practice Type

    Loads reasonable starting assumptions for your practice type. Edit everything.
    Enter any price point to see ROI, payback, and net benefit

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    Module 1: Referrer Drift — Revenue Preserved

    How many referrers drive most of your volume?
    Retirement, new competitor, dissatisfaction. 20–40% is typical.
    How much volume drops before action is taken
    Procedure revenue minus direct costs
    Capped at your current detection delay
    % of detected declines you can reverse with outreach
    % of alerts your team acts on within 2 weeks

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    Module 2: Outbound Leakage — Profit Recaptured

    Labs, imaging, procedures sent to outside facilities
    Conservative default. Depends on equipment + credentialing.
    Capacity constraint: equipment, staff, scheduling
    Ramp-up period before full capture
    % of identified opportunities that get executed

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    Module 3: Admin Time Saved

    Spreadsheets, manual reports, data entry
    Salary + benefits + overhead

    📊 Combined Annual Impact

    ⚠ Budget Impact Estimate — Not a Guarantee
    This calculator provides a budget impact estimate following ISPOR BIA good-practice principles. All outputs depend on user-entered assumptions and local operational context. Results represent plausible magnitude — not validated clinical outcomes. Revenue preservation assumes timely intervention and management follow-through; leakage recapture assumes operational feasibility and capacity. We recommend validating key assumptions against your practice data before using these estimates for purchasing decisions.

    Model Structure

    Three-module budget impact analysis following ISPOR BIA Task Force recommendations (Sullivan et al., 2014). Each module is independently calculable; combined estimate is additive. No output multipliers are applied — all scenario variation comes from changing uncertain input parameters.

    Module 1: Referrer Drift

    Estimates revenue preserved by earlier detection of declining referral volume. Formula: (key referrers × annual decline rate × referrals/month × volume drop % × contribution/referral × detection advantage months × recovery rate × follow-through rate). Detection advantage is capped at the user's current detection delay. Scenario presets adjust detection advantage, recovery rate, and decline rate inputs — not outputs.

    Module 2: Outbound Leakage

    Estimates incremental margin from capturing outbound cases in-house. Formula: min(outbound × recapture%, capacity cap) × margin × follow-through × effective months. Ramp-up adjustment reduces first-year effective months. Capacity constraint prevents unrealistic capture estimates.

    Module 3: Admin Time

    Direct labor cost savings. Formula: hours/month × reduction % × hourly rate × FTEs × 12 months. No follow-through adjustment — inputs are directly observable.

    Follow-Through Rate

    Modules 1 and 2 include a "follow-through rate" representing the percentage of tool-generated alerts that actually result in operational action. This is the model's primary realism lever and reflects that detection alone does not equal value capture.

    Sensitivity Analysis

    The "Most sensitive to" box computes ±20% perturbation on each input parameter and ranks by absolute impact on total annual benefit. This identifies which assumptions the buyer should validate internally before relying on the estimate.

    ROI Metrics

    ROI Multiple = (annual benefit ÷ 12) ÷ monthly price. Payback = days until cumulative benefit exceeds cumulative cost. Net monthly = (annual benefit ÷ 12) – monthly price. Break-even = annual benefit ÷ 12.

    Limitations

    Pre-implementation projections. Actual outcomes depend on practice size, payer mix, referral network dynamics, operational capacity, and management execution. No productivity or clinical outcome claims are made. This model has not been externally validated.

    Transparency Standards

    Model follows CHEERS 2022 reporting norms (Husereau et al., 2022) adapted for operational budget impact. All inputs editable. Scenario presets adjust uncertain effect-size inputs, not outputs. Practice-type presets load reasonable defaults and are clearly labeled as starting points.

    Want to see your actual referral patterns? Upload a CSV and get your first report.