Six numbers describe the health of a revenue cycle: days in A/R, A/R over 90 days, clean claim rate, net collection rate, denial rate by reason, and point-of-service collections. Every additional metric on a dashboard lowers the chance any of them gets acted on.
Revenue cycle dashboards fail by addition. Each metric is defensible, the total is unreadable, and nothing gets acted on. Six is enough.
The six
Days in A/R. How long money takes to arrive. Read as a trend against yourself, not against a benchmark set by someone else's payer mix.
A/R over 90 days. As a percentage of total. This is the leading indicator — it predicts write-offs a quarter or two ahead.
Clean claim rate. First-pass resolution, not clearinghouse acceptance. Insist on the definition.
Net collection rate. Of what was collectable, how much was collected. The number that grades everything else.
Denial rate by reason. Not a total. Grouped by cause, payer, and provider, which is what makes it actionable.
Charge lag. Days from encounter to submission. The one no payer influences, and therefore the fairest measure of the practice's own contribution.
Why these and not others
Each answers a different question and each points at a different owner. Days in A/R and the 90-day share describe speed and decay. Clean claim rate and denial mix describe quality. Net collection rate describes the outcome. Charge lag describes you.
Everything else is a drill-down from one of them.
The test
Every metric should be reproducible from your own practice management system. If you cannot check a number your vendor reports, it is a claim rather than a measurement — and the point of reporting is to be checkable.
Report the trend, not the snapshot
A single month tells you almost nothing — payer mix, seasonality and a single large claim all move these numbers. Show three or four months alongside the current one and the signal separates from the noise.
That is also what makes a deteriorating metric visible early enough to act on rather than after a quarter.
Define each one in writing
Clean claim rate in particular is measured differently almost everywhere — first-pass acceptance by the clearinghouse, first-pass payment by the payer, or claims requiring no rework. Each produces a very different number.
Write your definition down. Otherwise the metric changes quietly when staff change, and the trend you are watching is not a trend.
The test for adding a metric
Ask what decision it would change. A number nobody would act on differently is a number that dilutes the ones that matter, and dashboards accumulate these until nothing on them gets read.
Common questions
- What are the most important revenue cycle metrics?
- Days in A/R, the share of A/R over 90 days, clean claim rate, net collection rate, denial rate grouped by reason, and point-of-service collections.
- What is a good days in A/R for a medical practice?
- It varies by specialty and payer mix, so the useful comparison is your own trend rather than a benchmark. A rising number matters more than the absolute figure.
- What is net collection rate?
- What you collected as a share of what you were contractually entitled to collect, after contractual adjustments. It grades the whole operation, unlike gross collection rate.
- Why group denials by reason instead of counting them?
- A count tells you there is a problem. A grouping tells you which fix clears the most claims, and most denial volume concentrates in a handful of causes.
- How often should these be reviewed?
- Monthly, on one page, with the prior three months alongside. A metric reported without its trend is a number rather than information.
Denials Piling Up?
We handle the revenue cycle end to end — coding by certified coders, claim submission, denial management and appeals, and A/R follow-up, with six reported numbers every month.