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Vacancy Cost Calculator

Turn "we have an opening" into a number a CFO respects โ€” revenue-at-risk from CMS utilization, measured commercial rates, and your local market.

โฑ 2 minutes ยท 83 specialties ยท all 50 states + county drill-down
What you'll need: the specialty, the state (county optional), and how long the seat's been open. Everything else has sensible defaults you can adjust.
1

Set the vacancy profile

Pick the specialty (83 covered, with sub-specialty refinement where CMS taxonomies allow), the state or county, number of open positions, months open, clinical days per week, and the practice volume tier (Ramping โ†’ High-Vol; "Busy" = an established full-time practice at the 75th percentile).

2

Read the headline โ€” and what's behind it

The big number is estimated revenue at risk for the vacancy as configured, anchored to real Medicare allowed amounts and scaled to all payers with measured commercial rates. Below it: per-clinic-day, per-week, per-month, and patient encounters missed.

One Family Practice seat, 6 months, national โ†’ $199K at risk ยท 1,936 encounters missed
3

Show what doesn't get done

Service-Line Impact translates the vacancy into the specialty's actual procedure mix โ€” how many established-visit slots, wellness visits, or hospital-care encounters go undelivered. This is the slide that makes the vacancy concrete for administrators.

4

Compare waiting vs. filling

The closing card puts the vacancy loss next to median compensation (MGMA 2025), a typical perm-search fee, and locum coverage cost โ€” the math that justifies moving now.

5

Save the scenario, export the PDF

Save scenarios to revisit or compare, and export a client-ready PDF report. Methodology and dated data vintages are printed with it โ€” every figure traces to a source.

What you get: a defensible, source-cited business case for filling the seat โ€” conservative by design (the Medicare anchor is a floor, and system-wide impact is shown separately, never inflated into the headline).
Pro tip: select the actual county, not just the state โ€” the model auto-tunes the Medicare volume share to the local senior mix and shows the county's supply/demand picture, which makes the number noticeably more credible in front of a local administrator.
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