You have now covered the five core KPIs for an outpatient rehab therapy practice. Each one measures a different part of the revenue cycle. None of them tells the whole story on its own. Together, they give you a working picture of whether your revenue cycle is healthy — and where to look when it is not.
This module brings them together into a simple monthly dashboard: what to pull, what to compare it to, and how to read what you see.
| Metric | What It Tells You | Target |
|---|---|---|
| Days in AR | How long it takes on average to collect after a service is rendered | 25–35 days |
| Net Collection Rate | What percentage of contractually owed amounts you are actually collecting | 97%+ |
| First-Pass Acceptance Rate | How many claims go through clean on first submission | 95%+ |
| Denial Rate | What percentage of submitted claims are denied after adjudication | 5% or lower |
| AR Over 90 Days | What percentage of total AR has been sitting unpaid for more than 90 days | Less than 15% |
You do not need a dedicated dashboard tool to track these metrics. A simple spreadsheet updated once a month is enough to get started. What matters is consistency — pulling the same numbers, the same way, on the same date each month so you can compare over time.
For each metric, record three things: your current number, the benchmark, and your number from the prior month. That comparison tells you whether you are moving toward the target or away from it — which is more useful than any single data point.
Days in AR · Net Collection Rate · First-Pass Acceptance Rate · Denial Rate · AR Over 90 Days. Same date every month. Write them down. Compare to last month and to benchmark.
These five numbers do not operate in isolation. When one moves, it often pulls others with it. Understanding the connections helps you diagnose faster.
- First-pass rate drops → days in AR rises. More rejected claims mean more rework and slower collection timelines.
- Denial rate rises → AR over 90 days rises. Unworked denials age in your AR. If they are not appealed, they become write-offs that lower your net collection rate.
- Net collection rate drops → look at denials and adjustments. If your NCR is below 97%, money is being written off that should have been collected. Denials and incorrect adjustment posting are the most common causes.
- AR over 90 days rises → check follow-up capacity and denial volume. Old AR is almost always a follow-up problem, a denial backlog, or both.
- Days in AR rising with everything else stable → check charge lag and payer mix. Sometimes one slow payer or a submission delay is the only culprit.
When a metric falls outside its benchmark, the goal is not to panic — it is to investigate. A single month outside benchmark is a data point. Two months in a row is a trend. Three months is a pattern that needs a response.
Start with the metric that is farthest from its target. Use it to narrow down where in the revenue cycle to look. Then use the other metrics to confirm or rule out related causes. Most revenue cycle problems trace back to a small number of root causes — and most of those root causes are process problems, not payer problems.