The average audiology practice writes off between 8% and 14% of its denied claims without a second submission attempt. On $600,000 in annual billings, that is between $48,000 and $84,000 per year in collectible revenue being abandoned.
Why Denials Go Unworked
Denial management fails not because billing staff lack competence but because denial queues grow faster than they can be worked. A staff member managing billing for a 2-provider practice is processing 200 to 300 claims per month while also handling patient billing inquiries, authorization follow-ups, and secondary billing. When denials come back and the workload is already at capacity, lower-value denials fall to the bottom of the queue and age out of the timely filing window for appeals.
The problem compounds when denials are not categorized. A billing team that sees a denial queue of 40 claims and cannot immediately identify which are fixable with a corrected claim, which need clinical documentation, and which are payer errors requiring appeal cannot prioritize effectively. They work the easiest ones and let the harder ones age.
Denial categorization at the point of receipt, not the point of reworking, is the operational shift that changes denial management outcomes.
The Economic Case for Systematic Denial Work
Denials that are worked within 7 days of receipt have a collection rate of approximately 70% to 75%. Denials worked between 8 and 30 days post-receipt have a collection rate of 45% to 55%. Denials worked after 30 days have a collection rate below 25%, and after timely filing windows close, the collection rate drops to near zero.
The mathematical case for a faster denial cycle is compelling. Investing in a system that flags denials immediately, categorizes them by corrective action needed, and assigns them to the right queue recovers 3 to 4 times more denied revenue than a manual process that works through the same denial queue in date order.
Building a Denial Prevention Upstream
The most effective denial management starts before the claim is submitted. Pre-submission claim scrubbing, which checks for common denial triggers like missing modifiers, mismatched diagnostic codes, and authorization gaps, prevents a significant portion of denials from occurring. Practices that scrub claims before submission run denial rates of 3% to 5% versus the 8% to 14% industry average for practices without scrubbing.
The combination of pre-submission scrubbing and systematic post-denial management is where the real improvement in collected revenue happens. Reducing denials from 12% to 5% while also recovering 70% of remaining denials within 7 days changes the cash flow equation significantly.
BillAR includes both claim scrubbing at submission and automated denial categorization and routing on receipt. The system flags each denied claim with its corrective action category so that billing staff work the right claims in the right order every day.
Schedule a BillAR demo and we will show you what your current denial rate looks like against what the platform’s pre-submission scrubbing typically produces.