For an ABA practice, the revenue cycle runs from a verified authorization to a paid claim — and it's where margin is won or lost. High denial rates, slow payer turnaround, and aging accounts receivable can strand a large share of billed revenue. This dashboard makes the whole pipeline visible: what was billed, what was collected, what's stuck, and why claims are being denied.
Why revenue cycle management is hard in ABA
ABA billing is high-volume and authorization-sensitive. A single client can generate dozens of claims a month across several CPT codes and rendering providers. Claims are denied for predictable reasons — no or expired authorization, eligibility lapses, units exceeding the authorization, missing or late documentation, and coding errors — and every denial that isn't worked quickly ages toward a timely-filing write-off. Because volume is so high, even a low denial rate represents real money.
What this dashboard tracks
The billing overview shows total billed, total collected, and the net collection rate — the share of billable charges you actually collect, and the single best measure of revenue-cycle health. Next to it sit the denial rate and the dollars sitting in AR over 90 days, the bucket most likely never to be collected. A by-payer view exposes which payers pay cleanly and which create friction, and a denials page ranks denied dollars by reason so the billing team knows exactly where to focus appeals and process fixes.
How to read it
Net collection rate is the headline. A strong ABA practice collects the large majority of its billable charges; a rate dragging well below that signals denials, underpayments, or write-offs worth investigating. Read the denial rate next to its reasons — a spike in authorization denials points upstream to intake and auth tracking, while timely-filing denials point to billing throughput. AR over 90 days is the early-warning line: the longer a claim ages, the less likely it pays.
Who uses it
Billing managers, RCM teams, and owners use the revenue cycle dashboard to protect cash flow, prioritize appeals by dollar impact, and catch payer-specific problems before they compound across thousands of claims.
Metrics it tracks
| Metric | What it means |
|---|---|
| Total Billed | Total charges submitted to payers over the period. |
| Total Collected | Payments received against those charges. |
| Net Collection Rate | Collected ÷ Billed — the share of billable charges actually collected; the truest measure of RCM health. |
| Denial Rate | Denied claims ÷ total claims submitted. |
| AR Over 90 Days | Dollars in accounts receivable aged past 90 days — the bucket most at risk of write-off. |
| Avg Days in AR | Average time a claim spends in accounts receivable before it resolves. |
Used by: Billing managers, RCM teams, practice owners
Frequently asked questions
What is a good net collection rate for an ABA practice?
Net collection rate is collected divided by billable charges. Healthy practices collect the large majority of what they bill; a rate dragging well below that points to denials, underpayments, or write-offs. It's a better health measure than gross charges because it reflects what actually lands in the bank.
What are the most common ABA claim denial reasons?
The recurring ones are missing or expired authorization, eligibility lapses, units billed beyond the authorization, missing or late documentation, and coding errors. Ranking denied dollars by reason shows whether the fix belongs in intake/authorization tracking or in billing throughput.
Why does accounts receivable aging matter so much in ABA?
Because claim volume is high and payers have timely-filing limits, claims that age past 90 days are at real risk of never being collected. Watching AR over 90 days lets a billing team work the most at-risk dollars before the window closes.
Can I build this report on my own billing data?
Yes. Export your claims data — from your practice-management system or clearinghouse — and use this as a template. We model it into a Power BI report you open in Power BI Desktop; the sample here uses synthetic data so you can see the finished layout first.
Build this report on your own data
Clone this ABA template — describe it and we’ll generate sample data so you can try it free, or upload your own export. You get a fully modeled, branded Power BI project that opens in Power BI Desktop.
Use this as a template →