Aggregated from active surgical practices. Specialty-level leakage rates, fill performance by lead time, and root-cause breakdown — all in one citeable, embeddable dashboard.
* Includes projected baseline where platform data is below threshold. Updated weekly as practices report.
Industry baselines sourced from Beckers, HST Pathways, VMG Health, and MedPAC 2024–25. CaseFlow platform data blended where active practices report.
Leakage % = cancellation rate × est. avg case value per specialty. Sources: Beckers Spine Review 2024, HST Pathways 2024, VMG Health 2025, MedPAC 2025, MGMA 2025.
The earlier a cancellation comes in, the easier the slot is to fill. Here's what the data shows — industry average vs. CaseFlow-equipped practices.
| Notice Period | Industry Avg Fill Rate | CaseFlow Fill Rate | Lift |
|---|---|---|---|
|
<24h
Same-day / next-day cancellations
|
12% | 68% | +56pp |
|
24–72h
1–3 day lead time
|
31% | 84% | +53pp |
|
72h+
>3 days notice
|
54% | 94% | +40pp |
Industry fill rates: HST Pathways 2024, AHA Ambulatory Surgery Report 2024. CaseFlow rates: anonymized platform data, confidence factor 0.85.
Where the money goes — ranked by share of total leakage, with primary citations.
Drop one script tag. Renders a compact live-counter card with the headline number, updated weekly. Used by consulting firms, trade publications, and PE analysts.
Run the simulator on your actual portfolio — 60 seconds, no signup. Or download the full 2025 State of Surgical Revenue report.
Platform metrics (recovered revenue, slots filled, fill time) are aggregated from active CaseFlow practices over the trailing 90 days. Where platform data is below reporting threshold (<5 fills), a seeded baseline of $2.4M / 12 practices is used as a floor. All practice-level data is anonymized before aggregation.
Specialty leakage rates are derived from published industry sources (Beckers Spine Review 2024, HST Pathways 2024, VMG Health 2025, MedPAC 2025, MGMA 2025) blended with platform data using a confidence factor of 0.85 to account for selection bias (CaseFlow practices have above-average cancellation volume, making the platform sample non-random).
Fill rate comparisons use matched-cohort analysis: CaseFlow practices vs. comparable practices not using automated waitlist fill, controlling for specialty mix, urban/rural setting, and monthly case volume.