One of the hardest things about running an independent practice is that you rarely know whether your numbers are good. Without clear medical practice benchmarks, you only see your own numbers: days in AR, collection rate, denials. Your peers don’t publish their revenue cycle metrics, so you have nothing to compare them against. So a number that should alarm you looks normal, and a healthy number gets treated with unnecessary worry.
How to read these medical practice benchmarks
We can fix that. Below are the medical practice benchmarks we use to judge whether a practice in the $150K to $500K per month net-receipts range is healthy. These are operational targets, framed as ranges. Hold your practice up against them to see where you actually stand. Treat them like reference ranges on a lab panel. They show what is normal, not a verdict on any single number.
Days in AR: under 40, ideally under 35
Days in AR measures how long your money sits unpaid on average. It is the broadest single indicator of revenue cycle health. For a practice in this range, good looks like under 40 days. Strong operations run under 35.
Above 40 and climbing, you have a follow-up or front-end problem worth investigating. The direction matters as much as the level. A practice steady at 38 is in better shape than one that climbed from 32 to 39 over a quarter. The second one is trending the wrong way. Judge yourself on both the number and the slope.
Net collection rate: 96 percent or better
Net collection rate is what you actually collected as a percentage of what you were genuinely owed after allowable adjustments. It is the closest thing to a bottom-line truth in the revenue cycle, and good looks like 96 percent or higher, with the best practices pushing into the high 90s.
Every point below that is real money. A practice at 92 percent instead of 97 percent is leaving roughly five cents of every earned dollar on the table — through write-offs that should have been appeals, underpayments nobody validated, and balances that aged out. At $300K a month in true earned revenue, that five-point gap is meaningful money over a year, and it is money you already did the work to earn.
AR over 90 days: under 15 to 20 percent
The percentage of your total AR sitting in the over-90-day bucket tells you how much of your outstanding money is aging toward unrecoverable. Good looks like keeping that bucket under 15 to 20 percent of total AR.
When more than a fifth of your AR is over 90 days, it signals that follow-up is falling behind and claims are getting stuck rather than resolved. Old AR recovers at steadily lower rates the longer it ages, so a bloated over-90 bucket is both a symptom of a follow-up problem and a source of ongoing loss. This is a benchmark where the trend is especially telling — a growing over-90 percentage almost always precedes a cash-flow problem.
Clean claim rate: mid-90s percent or better
Clean claim rate is the percentage of claims that pay on first submission with no rework. Good looks like the mid-90s percent or higher. The inverse — your first-pass denial rate — should sit in the single digits, ideally under 5 to 10 percent.
Every denied claim costs you twice: staff time to rework it, or lost revenue if it is written off. But the benchmark alone is not enough — you also want your denials concentrated in preventable categories you can fix. If a large share of denials trace to eligibility or authorization, those are front-end failures that are almost entirely preventable, which means your effective clean claim rate could be much higher than it is with process fixes rather than heroics.
Charge lag: one to two days
Charge lag is the gap between service delivery and charge submission. Good looks like one to two days. Anything beyond that means money is sitting outside the pipeline, not yet even submitted, and the backlog tends to compound.
This is an underrated benchmark because it is a leading indicator — charge lag grows before days in AR moves and well before cash dips. A practice with a two-day charge lag has a front end that is keeping pace. A practice at seven or ten days has a front end that is underwater, and it will show up downstream soon.
Overhead, and the leak medical practice benchmarks can miss
Overhead varies widely by specialty, so a single benchmark misleads, but many independent practices run operating overhead in the 50 to 65 percent range, with owner clinical compensation accounted for separately and honestly. The critical point is that overhead percentage means little unless your collections are healthy first — a practice with great-looking overhead ratios can still be leaking badly if it is only collecting 90 percent of what it is owed.
That is the trap with medical practice benchmarks. You can hit several targets and still be leaking revenue, because the biggest leak — the 8 to 20 percent of recoverable revenue lost to undercoding, denials, aged AR, and payer underpayments — does not always show up cleanly in any single ratio. Undercoded visits look like lower revenue, not like a problem. Payer underpayments look like normal payments unless you check against contract. Medical practice benchmarks tell you a lot, but they do not automatically expose the leak.
Using these medical practice benchmarks honestly
Line your practice up against these ranges and be honest about where you land. Days in AR under 40. Net collection rate 96 percent or better. AR over 90 under 15 to 20 percent. Clean claim rate mid-90s. Charge lag one to two days. Wherever you fall short, you have found a specific, fixable target rather than a vague sense that something is off.
But remember the trap: hitting the benchmarks is necessary, not sufficient. The leak can hide behind numbers that look fine on the surface. If you want to know not just how your ratios compare but how much recoverable revenue you are actually leaving on the table, that is precisely what our diagnostic is built to find.
When you want to see exactly where you land against these benchmarks, a medical practice revenue audit gives you the number.
Run the diagnostic: https://eligibility.natrevmd.com/recover-diagnostic
