How a Growing ABA Practice Increased Collections by 28% and Cut AR Days Nearly in Half

1. Client Overview

A small but growing ABA therapy practice serving children and families across multiple insurance plans. The clinical team was well-staffed, and appointment demand was consistently high. The practice billed predominantly through commercial insurers and Medicaid managed care plans, using a mix of direct therapy, supervision, and caregiver training CPT codes, including 97153, 97155, and 97156.

Despite strong patient volume, the practice had no dedicated billing infrastructure. Claims were submitted by administrative staff who had limited ABA-specific coding training and no standardized process for authorization tracking or denial management.

What the Problem Looked Like

By the time the practice sought billing company help, several financial warning signs had converged:

• Claim denials were running at approximately 9.2%, far above the industry benchmark of 2 to 3%.

• The average number of days claims sat in accounts receivable had climbed to 63, meaning revenue was routinely delayed by two months or more.

• A sizable portion of the AR backlog was older than 90 days, pushing some claims close to the timely filing limits.

• Monthly cash inflow was unpredictable, making payroll planning difficult and limiting the practice's ability to hire.

The clinical operation was sound. The billing operation was not. The gap between the two was putting the business at risk.

Why It Was Happening

We identified four consistent failure patterns:

Coding errors at submission. Claims for 97155 (behavior intervention with supervision) were frequently missing required modifiers. Without those modifiers, payers auto-rejected the claims rather than requesting corrections.

Incomplete authorization tracking. Services were sometimes rendered without confirmed prior authorizations, or authorizations lapsed without anyone flagging the renewal window. Payers denied these claims as unauthorized, regardless of clinical appropriateness.

Documentation gaps on caregiver training codes. Claims for 97156 (family training) were being denied because session notes lacked time-based documentation. Payers required this to validate the reported units, and the practice's note templates did not capture it.

No structured denial follow-up. When denials came in, they were corrected individually without categorization or root cause tracking. The same errors were repeated month after month because no one was analyzing patterns across the full claim volume.

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What Changed

Cube Therapy Billing implemented a structured remediation plan across four workstreams:

Eligibility and Authorization Controls

Every new patient had insurance eligibility verified before the first session. Active authorization status was tracked against session calendars so that lapses could be identified and renewals submitted in advance.

Claim Scrubbing by Payer

Payer-specific claim scrubbing rules were built into the submission workflow. Missing modifiers on 97155, incorrect unit counts, and documentation flags were caught before claims reached the clearinghouse. This immediately reduced the volume of avoidable rejections.

Denial Taxonomy and Resolution

Incoming denials were categorized by root cause: eligibility, coding, authorization, or timely filing. Each category was worked by our ABA Billing expert. Recurring patterns were logged and used to update submission rules and staff training.

AR Recovery Protocol

The backlog was worked in priority order, oldest and highest-value claims first. A tracking system flagged any unresolved high-value claims after 48 hours. Daily AR cycles replaced the previous ad hoc follow-up approach.

Results After 120 Days

Clean Claim Rate: 86% to 98.9%

Payer-specific scrubbing rules eliminated the most common submission errors. The majority of claims were now accepted and processed on first submission, removing the rework cycle that had been consuming staff time.

Denial Rate: 9.2% to 1.1%

Once the root causes were addressed at the template and process level rather than claim-by-claim, the denial volume dropped significantly. Caregiver training codes, previously a consistent source of rejections, were passing cleanly after documentation templates were updated.

AR Days: 63 to 33

The structured AR protocol cleared the backlog within 18 days of implementation. By the end of month four, average days in AR had been cut nearly in half. Claims were being paid faster because they were submitted the first time correctly and followed up on before payer deadlines.

Monthly Collections: +28%

Faster claim acceptance, fewer denials, and consistent AR follow-up combined to increase monthly collections by 28%. The improvement was not driven by higher patient volume. It was the same patient base generating materially more revenue because far fewer dollars were being lost to denials or delayed beyond recovery.

Metrics Summary

How Things Changed on the Ground

The financial improvements had a direct effect on how the practice operated day to day. Once cash flow stabilized and became predictable, the practice owner could meet payroll without uncertainty and begin planning for additional hires.

Clinical staff spent less time fielding billing-related calls from families. Because authorizations were tracked proactively and eligibility was confirmed before sessions, families encountered fewer unexpected denials. That reduced the administrative burden on both the front desk and the clinical team.

Staff morale improved as operational instability declined. When the practice stopped running in a reactive mode on billing, the energy previously spent on damage control could go toward scheduling, onboarding, and clinical supervision.

Also read ABA BILLING PLAYBOOK

Key Takeaway

This case illustrates a pattern that is common in ABA practices: strong clinical delivery does not automatically produce financial stability. ABA billing requires a specific skill set, including payer-specific coding knowledge, proactive authorization management, and systematic denial analysis.

When those functions are handled by generalist administrative staff without the right tools or training, the practice absorbs preventable losses. When they are handled by a team with ABA-specific expertise and defined processes, the financial performance of the same clinical operation improves substantially.

The 120-day results here were achieved without adding patients, changing clinical staff, or renegotiating payer contracts. The only variable that changed was how billing was managed.