Illustrative IDR Example

How an Anesthesia Group Increased Collections by 38%

Strategic IDR filing for high-volume practices

Composite educational scenario. All figures, organizations, quotations, and outcomes on this page are illustrative—not verified customer results, testimonials, or a forecast. Coverage and medical-necessity denials may require a separate appeal; federal IDR addresses eligible payment disputes.

Regional Anesthesia Group

Regional Anesthesia Group

About

A 45-physician anesthesia group providing services across 12 surgical centers and hospitals in the Southeast.

Industry

Anesthesiology

Company size

50-75 employees

Headquarters

Atlanta, GA

Founded

2012

Annual Claims

$28M+ billed annually

Key Features Used

Peer BenchmarksBatch ProcessingSpecialty DataAnalytics Dashboard

Challenge

With high claim volumes and complex payer contracts, the group was experiencing 23% average underpayment on out-of-network cases. Manual appeals were consuming 60+ hours per week with inconsistent results.

Solution

Implement Clearest to systematically identify underpaid claims, prioritize by expected value, and file IDR disputes with specialty-specific benchmark data for anesthesia services.

Illustrative Results

$1.8M recovered

Additional revenue in first 9 months

38% increase

In average reimbursement per case

91% win rate

On disputes with benchmark evidence

60 hrs/week saved

Appeals time eliminated

The anesthesia reimbursement challenge

Anesthesia billing is uniquely complex. Time-based units, modifier stacking, and facility-specific requirements create endless opportunities for payer underpayment.

The anesthesia group had built a strong clinical reputation, but their revenue cycle was leaving money on the table. Out-of-network cases were being paid at rates 40-60% below what peer groups received.

The billing team tried to keep up with appeals, but with 3,000+ claims per month, they could only dispute a fraction of underpayments.

Illustrative perspective

We knew we were being underpaid, but we had no way to prove what fair payment should look like. Clearest gave us that proof.

Data-driven case selection

Clearest analyzed the group's claims data and identified patterns of systematic underpayment by specific payers and CPT codes. Certain high-acuity cases were being paid at base rates regardless of complexity.

The platform prioritized 428 disputes representing the highest expected recovery. Each case was scored based on the gap between payment received and peer benchmark data.

Specialty-specific evidence

Anesthesia cases require specialized benchmark data. Clearest provided comparisons specifically for anesthesia services, accounting for time units, case complexity, and geographic factors.

The dispute packets demonstrated clear evidence of underpayment relative to what similar anesthesia groups receive for identical services.

Illustrative perspective

The benchmark data was exactly what arbitrators needed to see. It made our cases undeniable.

Sustainable revenue improvement

The 38% increase in average reimbursement translated to predictable monthly recoveries. The group now has visibility into their entire claims portfolio and can project revenue with confidence.

The freed-up billing staff now focus on front-end processes, reducing denials and improving first-pass resolution rates.

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