Transparent business-case model

Model the specialty opportunity with your own inputs.

Estimate the production associated with improving referral scheduling and treatment completion—without relying on an industry average or a guaranteed Furca outcome.

Build your scenario Review the source analysis

Use your operating data

Referral volume, scheduling performance, completion, and case value are inputs you control—not hidden benchmarks.

See the formula

The model separates additional scheduled patients, completed cases, and gross production opportunity.

Separate opportunity from ROI

ROI and payback appear only after you enter an estimated annual investment.

Your scenario

Start with what you know.

Use a recent reporting period and conservative assumptions. The model shows its math and leaves pricing blank until you enter it.

Your operating assumptions

Every input remains visible and editable.

LocationsLocations sending internal specialty referrals.Monthly referrals per locationUse your recent average, not a growth target.Current referral-to-scheduled rateThe share of created referrals that become scheduled.%Modeled scheduling improvementYour scenario assumption—not a Furca performance promise.ptsScheduled patients completing treatmentAdjust for consultation completion and case acceptance.%Average completed case valueUse your own specialty mix and production data.$Estimated annual Furca investmentOptional. Enter contracted software and implementation costs to model net benefit.$

Modeled annual opportunity

$945,000

Potential gross production from the additional completed cases in this scenario. This is not a revenue guarantee.

additional scheduled patients per month

630

additional completed cases per year

Pipeline scenario

9,000 annual referrals

45% → 55% scheduled

ROI and payback are intentionally blank.

Add your estimated annual investment to calculate them. Furca does not insert an unverified average price.

Directional model only. It excludes collections timing, payer mix, provider capacity, cancellations, financing, taxes, and operational costs not entered above. Validate assumptions against your own source data before making an investment decision.

What changes the model

Three operating levers—not one promised benchmark.

The model becomes credible when each assumption maps to a workflow your team can observe and manage.

Capture more referred demand

Create a trackable referral while the patient context and treatment recommendation are still active.

Convert the unscheduled queue

Match patients to network specialty capacity and keep unresolved referrals visible to staff.

Manage performance across locations

Review the same pipeline measures by location, provider, specialty, and outcome.

Observed customer dataset

10,687 referrals across 22 originating offices.

The Two Rivers analysis uses a defined January–December 2025 referral dataset. Modeled opportunity is labeled separately from observed workflow data.

See the analysis

Turn the scenario into a decision-ready business case.

Bring your referral data and operating assumptions. We’ll help you validate the model, identify data gaps, and map the value to a rollout plan.