The math
The most expensive patients you lose are the ones somebody handed you.
Here's the arithmetic on vanished referrals — with one factor set differently from every other leak, because these patients already said yes.
Four numbers, multiplied
| Factor | Where it comes from |
|---|---|
| Referrals per week | Your answer — midpoint of the range you pick |
| × estimated vanish rate | Conservative lookup keyed to your Intake Score — weaker intake, more sent patients never contacted |
| × schedule rate when reached | HIGH by design (60–80% per vertical) — a referred patient already said yes to care; reached promptly, most schedule |
| × value of one completed referral | Your answer |
An imaging center receiving 28 referrals a week, scoring in the "Leaking" band (25% estimated vanish rate), with an 80% schedule-when-reached rate and a $1,500 average case: 28 × 4.3 × 25% × 80% × $1,500 ≈ $36,000 a month in patients who were already sent to you. No marketing spend recovers cheaper revenue than this, because the acquisition was free and the intent was pre-built.
Estimates from your own answers using stated assumptions — labeled that way in every report. The first fix baselines the intake flow that produces your real rate — then repairs its weakest link.
The second ledger: referrer trust
The vanished patient also debits an account no report shows: the sending office's confidence. Referrers experience your intake as what-happened-to-my-patient, and they reroute quietly — no complaint, no meeting, just fewer faxes over the following quarters. That decay reads as "referrals are slowing" and gets treated as a marketing problem, when it started as an intake problem. Fixing intake is referral marketing, at zero spend.
Run it with your numbers
Three minutes. Every assumption labeled, every input yours.
Score your intake