Most ABA practices know when collections were low last month. They don’t know why.

That’s the difference between having a billing system and having revenue cycle visibility.

RCM is not mysterious. It is a set of measurable signals. Every inefficiency, every payer problem, every workflow failure — it shows up in the data. You just need to know which numbers to look at and what they are telling you.

These are the eight metrics that matter. Track them monthly. If you do not have visibility into all eight, that is the first problem to fix.

1. Days in Accounts Receivable

What it measures: The average number of days between claim submission and payment received.

Good benchmark: Under 30 days for clean commercial claims. Under 45 days overall.

ABA-specific reality: Authorization delays, payer-specific processing windows, and resubmission cycles push ABA AR higher than in general medical billing. If your Days in AR is above 50, you likely have a follow-up bottleneck or a systemic authorization timing problem. Start there.

2. Denial Rate

What it measures: The percentage of submitted claims denied on first pass.

Good benchmark: Below 5%.

ABA-specific reality: Denial rates of 10–20% are common in ABA practices without dedicated billing support. The most frequent culprits are described in detail in our guide to ABA claim denial reasons and fixes — including expired or mismatched authorizations, incorrect modifier use (HO vs. no modifier for 97155, for example), and credentialing mismatches between the rendering and billing provider NPI.

A denial rate above 5% is a systems problem. It is not bad luck. Find the pattern in your denials and fix the root cause upstream.

3. Net Collection Rate

What it measures: The percentage of collectible revenue you actually collect, after adjusting for contractual write-offs.

Good benchmark: 95% or higher.

Net collection rate is distinct from gross collection rate. It strips out the discounts you have contractually agreed to and measures what you collected versus what you were legitimately owed. If your net collection rate is below 90%, money is leaving the practice through avoidable write-offs, denied claims that were never worked, or secondary balances that were never billed.

This is one of the most important numbers on this list. Know it.

4. Clean Claim Rate

What it measures: The percentage of claims that pass the payer’s front-end edits on first submission — no corrections, no rejections.

Good benchmark: 95% or higher.

Every dirty claim costs you money in staff time to rework and delays cash flow. Clean claim rate is the upstream driver of almost everything else on this list. A low clean claim rate means your intake, authorization, and claims-entry workflows have gaps. Fix it first.

5. Cost to Collect

What it measures: What you spend on RCM — staff time, billing software, outsourced billing fees — as a percentage of collected revenue.

Good benchmark: 3–7% of net collected revenue.

ABA practices running in-house billing on systems not built for ABA-specific workflows commonly see cost-to-collect above 10%. That is usually the number that makes the outsourcing math clear. If you are spending more than 7 cents per dollar to collect a dollar, your billing infrastructure deserves a hard look.

6. First-Pass Resolution Rate

What it measures: The percentage of claims actually paid on first submission — no rework, no resubmission required.

Good benchmark: 90% or higher.

First-pass resolution rate and clean claim rate are related but not the same thing. A clean claim passes the payer’s scrubber. A first-pass resolution is actually adjudicated and paid. Track both. A gap between the two often points to authorization timing issues or payer-side processing problems that need to be worked on the backend.

7. Authorization Utilization Rate

What it measures: The percentage of authorized units your practice uses before the authorization expires.

Good benchmark: 80–95%.

This metric is largely ABA-specific. Most medical practices don’t manage care at the unit level. ABA does. Authorization timing is covered in depth in our prior authorization payer guide.

Underutilizing authorizations signals a problem: clients are canceling, treatment intensity is not matching authorization requests, or staff scheduling is inefficient. Consistently over-utilizing (billing more than authorized) triggers payer audits.

Target the 80–95% range. Consistently above 95%? Your authorization requests are too tight. Consistently below 80%? You have a scheduling, retention, or clinical programming problem.

8. AR Aging Buckets (90+ Days)

What it measures: The percentage of total outstanding AR that is 90 days old or older.

Good benchmark: Less than 15% of total AR in the 90+ day bucket.

Old AR is usually uncollectible AR. If 30% of what is owed to you is sitting past 90 days, you are going to write most of it off. Claims age badly. Authorizations expire. Payer timelines lapse. Staff memory fades.

Work your AR weekly, not quarterly. Claims aged 30–60 days are workable. Claims aged 90+ are often gone. The best collection strategy is to never let claims get there.

How to Use This Data

Tracking is only valuable if you act on the signals.

A denial rate spike tells you to audit recent claims for a specific payer or CPT code. A drop in first-pass resolution rate tells you to check your authorization dates against your claim submission dates. A rising Days in AR tells you to look at your follow-up workflow and payer-specific processing trends.

Build a one-page RCM dashboard. Review it in your monthly admin or leadership meeting. If you cannot pull this data easily, your billing system or billing partner is not giving you enough visibility — and that itself is the problem to solve. Our guide on how to choose an ABA billing company covers what to look for in a partner that provides genuine RCM transparency.

🎁 Free Resource: ABA Revenue Leak Self-Audit

Not sure where your practice stands on these metrics? Download our ABA Revenue Leak Self-Audit — a free PDF that walks you through the most common billing gaps in ABA practices and helps you identify which of these eight metrics need the most immediate attention.

[Download the free self-audit → abapracticeservices.com]

Citations

  • Healthcare Financial Management Association. (2023). Revenue Cycle Improvement: Key Performance Indicators. https://www.hfma.org
  • Medical Group Management Association. (2023). MGMA DataDive Practice Operations — Revenue Cycle Benchmarks. https://www.mgma.com
  • Centers for Medicare & Medicaid Services. (2023). Medicare Claims Processing Manual, Chapter 1: General Billing Requirements. https://www.cms.gov
  • Behavior Analyst Certification Board. (2022). Supervision Requirements for BCBA Certification. https://www.bacb.com

Want someone to pull this data and tell you exactly what’s wrong? Explore our ABA practice services, then book a free 30-minute consultation at abapracticeservices.com. We will review your RCM health and tell you what to fix first.