§ Interactive Tool · Denial Cost & Speed ROI
How much is enforcement drift costing your facility?
The smaller your facility, the more each enforcement shift costs as a percentage of revenue. Input your numbers — see the math in 90 seconds.
Step 1 of 4
Step 1 · Facility Profile
Tell us about your facility
Monthly claims volume
800
Annual revenue
$15M
Primary levels of care
PHP
IOP
Residential
SUD
Inpatient
Outpatient
Facilities with fewer than 500 annual admissions take 3–5× longer to detect payer enforcement drift — meaning more failed claims before the pattern is caught.
Step 2 · Denial Volume & Mix
Your denial landscape
Monthly denial volume
80
Average denied claim value
$3,500
% Medical necessity denials
40%
Number of major payers
1–2
3–5
6+
Medical necessity denials in behavioral health average $2,800–$8,500 per case. These are the high-variance, interpretation-dependent denials where precedent intelligence has the highest impact.
Step 3 · Current Performance
How your team is performing today
Appeal rate (% of denials appealed)
55%
Current overturn rate
38%
Avg time to build appeal packet (minutes)
195 min
% of denials that are repeat patterns
30%
Industry data shows the average BH provider leaves 45% of denials uncontested. Every unappealed denial is revenue you've already earned but aren't collecting.
Step 4 · Staffing & Operations
Your denial management resources
Denial management FTEs
2.0
Avg fully loaded cost per FTE
$65K
How long to detect a payer enforcement shift?
Days
Weeks
Months
Don't detect
Key-person dependency risk
Low
Medium
High
With 1–2 FTEs handling denials, enforcement drift can persist 12–20 weeks before detection — vs. 2–4 weeks at large systems with dedicated teams.
Your Denial Intelligence Report
💸 Your Cost of Inaction
| Cost Category | Annual Estimate | How Calculated |
|---|---|---|
| 🔄 Repeat Pattern Waste | ||
| ⏱️ Enforcement Drift Losses | ||
| 🚫 Unappealed Revenue | ||
| Total annual cost of status quo |
📈 Your ROI With Precedent Intelligence
| Improvement | Current | Projected | Annual Value |
|---|---|---|---|
| 🎯 Overturn rate | |||
| ⏱️ Packet prep | |||
| 🔍 Drift detection | |||
| 📨 Appeal coverage | |||
| Total benefit |
📊 The Size Advantage
| Your Facility | Enterprise (7K+ claims/mo) | |
|---|---|---|
| Annual revenue | $150M | |
| Drift detection | ~3 weeks | |
| Loss per drift event | ||
| Loss as % of revenue | ||
| FTEs | 6–8 | |
| Key-person risk | Low |
The smaller you are, the more each drift event costs as a percentage of revenue. Large systems absorb enforcement shifts because they have dedicated teams and higher volume to detect patterns faster. Precedent intelligence closes the gap.
Your numbers tell the story. Let's walk through them.
15-minute walkthrough of your results with a denial intelligence specialist.
These projections use conservative assumptions. Stratum models 10–15% overturn lift (capped at 65%), 45% packet time reduction, 75% faster drift detection, and 20% appeal rate improvement (capped at 85%). © 2026 Stratum Collective.