Days in A/R: Formula, Benchmark, and the Four Levers

Days in A/R = Total Accounts Receivable / Average Daily Charges. Average Daily Charges = Total Charges over the trailing measurement period (typically 90 days) / Number of days in that period (90). The reason for using a trailing 90-day window for the denominator rather than a single month is to smooth the month-over-month variance from holiday weeks, seasonal volume, and payer cycle effects. A practice with $900,000 in trailing-90-day charges has $10,000/day in average daily charges; if total A/R is $350,000, days in A/R = 35. This is the standard formulation of the metric. HFMA MAP Keys publishes the definitions and equations for revenue cycle KPIs, and MGMA collects days in A/R in its annual Cost and Revenue Survey; note that neither publishes a free target value — MGMA's medians sit inside licensed DataDive products. For a freely published comparator, the AAFP states days in A/R should be "below 50 days at minimum; however, 30 to 40 days is preferable."

For a physician practice, the published benchmark is AAFP's: days in A/R should stay below 50 days at minimum, with 30 to 40 days preferable. That is a practice-management guidance range, not a measured median — AAFP publishes no sample or denominator behind it.

What no free source publishes. There is no freely-available observed median days in A/R for physician practices. MGMA collects the figure in its Cost and Revenue Survey, but the medians sit inside licensed DataDive products. HFMA MAP Keys publishes the equation for net days in A/R, not a target value. Figures circulating as "the MGMA benchmark" of 35 or 47 days could not be traced to any MGMA page, and specialty-level days in A/R breakdowns could not be traced to any authoritative source at all — so we do not publish them.

Reading your own number. Because the benchmark is a range rather than a per-specialty median, interpret your figure against your own trend and payer mix rather than against a specialty average you cannot source. A number that is rising quarter over quarter is a more reliable signal than a number that sits above or below someone else's published range. Specialties carrying heavy pre-authorization or case-rate adjudication — surgical lines, DME, home health — structurally collect more slowly than primary care, but no free source quantifies that gap credibly.

Days in A/R is a single rolled-up number; the aging bucket distribution under it reveals the underlying health. Standard buckets are 0-30, 31-60, 61-90, 91-120, and 121+ days. A healthy practice keeps roughly 65-75% of total A/R in 0-30 days, 12-18% in 31-60, 6-10% in 61-90, and under 12-15% combined in 91+.

Collectability in the 90+ bucket runs around 50% and keeps falling the longer balances age. A practice with the same 38-day average but 25% of A/R sitting over 90 days has a denial rework backlog masked by recent charge volume — the average looks fine because new claims are paying, but the aged tail stays unrecovered without dedicated accounts receivable follow-up on the 90+ bucket. Conversely, a practice with 44 days but only 8% over 90 has a slower payer mix (more Medicaid, more secondary COB) but no actual collection failure.

Lever 1: Clean claim rate. Every percentage point of CCR improvement removes about 0.3-0.5 days from the average because rework adds 30-60 days to a touched claim's collection cycle. Lever 2: Days from charge to submission. The HFMA target is under 5 days; many practices run 8-12. Reducing charge-to-submission lag from 10 to 4 days takes 6 days off Days in A/R directly. Lever 3: First-pass appeal velocity on denials. Denials over 60 days old recover at half the rate of denials worked within 14 days — the operating argument for dedicated denial management services. Lever 4: Self-pay collection process. Self-pay balances over 90 days drag the average up sharply because the underlying recovery rate is in the 18-22% range without active collection. A patient statement cycle issued on day 5 post-EOB with a 30-day follow-up cadence reduces self-pay aging materially.

Average payment turnaround varies by payer class, and that variation sets the floor on achievable Days in A/R. The one figure that is authoritative here is Medicare's: CMS may not pay a clean electronic claim before the 14-day payment floor. Commercial and Medicaid turnaround figures circulate widely but could not be traced to a primary source, so we do not publish per-payer averages — measure your own turnaround by payer from your remittance data instead, which is both sourceable and actionable. Payer-specific filing deadlines, which do materially affect A/R, are in our timely filing database.

Pattern 1: A/R is rising, charges are flat. This indicates a denial backlog or appeal queue not being worked. Compare 90+ day A/R as a percentage of total A/R against the prior period — a rising 90+ percentage with flat charges is a denial recovery failure. Pattern 2: A/R is rising in proportion with charges. This is volume growth, not a process problem; the absolute dollar number rises but the days metric stays flat. Pattern 3: Days in A/R drops sharply month-over-month. Usually indicates either large lump-sum capitation or risk payment, large recoupment offset, or large write-off cleanup — none of which reflect operational improvement. Pattern 4: Days in A/R rises after a payer policy change (e.g., new prior authorization requirement). Drill into denial codes — a CARC 197 spike confirms the cause.

Three common errors distort reported Days in A/R. First, using a 30-day denominator rather than a 90-day rolling window — this makes the metric whipsaw on monthly volume changes and produces meaningless month-over-month comparisons. Second, including credit balances (negative A/R from overpayments awaiting refund or recoupment) in the numerator without netting them out — credit balances are not collectable A/R and including them understates the true number. Third, using gross charges rather than net charges as the denominator. The HFMA-aligned method uses gross charges in both numerator and denominator (so the ratio is consistent), but some systems mix gross charges in the denominator and net A/R in the numerator, distorting the result by 5-15%.