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Free Benchmark Lookup Tool
Specialty-Specific Billing Benchmark Tool
Select your specialty and enter your current metrics to instantly compare your net collection rate, denial rate, days in AR, clean claim rate, and patient collections against MGMA-aligned benchmarks for your practice size and payer mix. Get a gap analysis and personalized action plan.
Benchmark data aligned with MGMA DataDive 2023/2024, HFMA MAP Keys, and specialty society performance standards. Benchmarks are estimates; actual performance targets may vary by geography, payer contracts, and clinical mix.
Specialty-specific benchmarks vary significantly from these all-specialty ranges. Use the tool below to see benchmarks calibrated to your specialty, size, and payer mix.
Select Your Specialty & Enter Your Metrics
Required. Collected / collectible charges.
First-pass denial % before appeal.
DOS to payment posting average.
First-pass acceptance rate.
% of patient balances collected.
Enables dollar-impact estimates.
Select a specialty and enter your metrics
Benchmark comparison, gap analysis, and personalized action plan appear here
Your Practice vs Specialty Benchmarks
Score reflects weighted performance across all entered metrics vs adjusted best-practice benchmarks for your specialty, size, and payer mix.
Confirm With Real Data — Free Practice Audit
This tool benchmarks your self-reported metrics. XMB’s free practice audit analyzes your actual billing data, identifies specific dollar gaps by metric and root cause, and provides a written action plan for your specialty. No cost, no obligation.
Common Questions
Specialty Billing Benchmarks — FAQ
What is a good net collection rate for a medical practice?
A net collection rate (NCR) of 95% or above is the best-practice benchmark for most specialties according to MGMA DataDive. Top-quartile practices achieve 96-97%+. The national average across all specialties is 86-90%. NCR benchmarks vary by specialty — dermatology and ophthalmology typically achieve 95-97%; behavioral health and SUD practices have lower achievable benchmarks (75-88%) due to payer mix and population factors. Benchmarks should be adjusted for practice size and payer mix before comparing. See our Revenue Cycle Management services for NCR improvement strategies.
What is a good denial rate by medical specialty?
Best-practice denial rates vary significantly by specialty. Primary care and dermatology target below 7%; cardiology and orthopedics target below 9%; behavioral health averages 16-23%; and oncology/hematology can reach 13-19% due to prior authorization and medical necessity complexity. The national average across all specialties is approximately 11-13%. Any denial rate above your specialty benchmark represents recoverable revenue through pre-submission coding accuracy and prior authorization management.
What are good days in AR benchmarks by specialty?
Days in AR benchmarks range from 26-35 days for procedural specialties with clean billing (dermatology, ophthalmology) to 45-65 days for complex specialties with high prior authorization requirements (oncology, pain management). Primary care target is 35-42 days. Any specialty exceeding 55+ days in AR typically has systematic AR management issues — unworked denials, slow secondary billing, or inadequate patient follow-up — that are addressable through structured AR triage. See our Denial Management services.
How do practice size and payer mix affect billing benchmarks?
Practice size has measurable impact on billing performance: solo practices typically achieve NCR 1.5% lower, denial rates 2.5% higher, and AR days 5+ days longer than mid-size group practices. Enterprise groups (50+) achieve NCR 1% higher, denial rates 1% lower, and AR 4 days shorter. Payer mix is equally significant: Medicaid-heavy practices (over 50%) have NCR benchmarks 2% lower, denial rates 3% higher, and patient collection rates 8% lower than mixed-payer practices. Commercial-heavy practices see the reverse — NCR 1% higher, denial rates 1% lower, AR 3 days shorter. This tool adjusts benchmarks for both factors simultaneously.
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