Days in A/R: How Medical Practices Can Reduce Receivables and Improve Cash Flow

Days in A/R is the single most diagnostic number in a medical practice's revenue cycle, and most practices are running well above where they should be. This article covers the exact formula MGMA and HFMA use, current 2026 benchmarks by specialty, what actually drives the number up, and a practical, prioritized strategy for bringing it back down

Days in A/R: How Medical Practices Can Reduce Receivables and Improve Cash Flow

Introduction

Ask a practice administrator how their revenue cycle is doing, and a lot of them will point to a dollar figure sitting in accounts receivable. That number feels important, but on its own it doesn't tell you much. A large A/R balance in a growing, high-volume practice might be completely normal. The same dollar amount in a smaller practice could be a genuine crisis. What actually tells you whether your billing process is healthy is how long that money has been sitting there. That's what days in A/R measures, and it's arguably the single most diagnostic number in the entire revenue cycle.

This article walks through exactly how to calculate days in A/R, what current benchmarks look like across specialties, the specific problems that drive the number up, and a practical, prioritized way to bring it back down.

What Are Days in A/R in Medical Billing?

Days in A/R measures the average number of days between when a practice bills for a service and when it actually collects payment for it. It's a velocity metric, not a balance metric. Two practices can have the exact same dollar amount sitting in accounts receivable and completely different days in A/R numbers, depending on how quickly that money is actually moving through the collection process relative to how much the practice bills.

That distinction matters because a raw A/R balance grows naturally as a practice sees more patients and bills more charges. Days in A/R strips that growth effect out and tells you specifically whether collections are keeping pace with billing, or falling behind it.

Why Days in A/R Matters to Healthcare Practices

A rising days in A/R number is rarely caused by one single event. It's usually the visible symptom of several smaller problems compounding, delayed claim submission, denials that sit unresolved, slow payer turnaround, or gaps in follow-up. That's exactly why it's such a useful metric to track closely. It's a leading indicator of revenue cycle health, not just a lagging financial report.

Practically, a high days in A/R number means cash isn't available when the practice needs it, for payroll, for supplies, for reinvestment, even though the underlying work has already been done and billed. It also tends to correlate with a higher risk of claims eventually becoming uncollectible altogether, since the longer a claim sits unresolved, the lower the probability it ever gets paid.

How to Calculate Days in A/R

The formula MGMA and HFMA both use for physician practice benchmarking is straightforward:

Days in A/R = Total Accounts Receivable ÷ Average Daily Charges

Average daily charges is calculated as total gross charges over a trailing period, typically the last 90 days, divided by the number of days in that period.

For example, a practice with $900,000 in trailing 90-day gross charges has average daily charges of $10,000. If that practice's total outstanding accounts receivable is $350,000, days in A/R works out to 35.

Why the 90-day trailing window matters

Using a rolling 90-day window instead of a single month smooths out the natural swings caused by holiday weeks, seasonal patient volume, and payer processing cycles. A single-month calculation can look artificially good or bad depending on when in the calendar you happen to measure it.

A calculation detail worth watching closely

Some versions of this formula found online substitute net revenue for gross charges in the denominator. That version produces a smaller, more flattering number, and it can mask real problems in your collection process. The MGMA and HFMA convention specifically uses gross charges, and that's the version your benchmarking should be measured against.

What Is a Good Days in A/R Benchmark?

According to MGMA's most recent Cost and Revenue Survey data, the median days in A/R across the broader sample of physician practices sits at 47 days, while better-performing practices bring that down to 35 to 36 days. HFMA's published target range is 30 to 40 days, and a result under 30 days generally reflects top-performer status.

  1. Under 30 days: top-performer, elite revenue cycle performance
  2. 30 to 40 days: HFMA's general target range, solid performance
  3. 35 to 45 days: broadly considered the current industry average range
  4. Above 50 days: signals a real, actionable revenue cycle problem
  5. Above 60 days: reflects the worst-performing quartile and warrants immediate intervention

Specialty-specific benchmarks

Good days in A/R varies somewhat by specialty, reflecting differences in typical payer mix and claim complexity. MGMA and HFMA-aligned benchmarks generally suggest under 35 days for primary care and family medicine, under 38 for internal medicine, under 40 for cardiology, under 42 for orthopedics, and under 45 for behavioral health and oncology. Treat these as orientation rather than rigid targets, since benchmark data updates annually and varies by practice size and region.

Don't stop at the aggregate number

A healthy-looking aggregate days in A/R can still hide a serious problem. A practice sitting at 38 days overall could still have 20 percent of its total A/R aged past 90 days, double HFMA's recommended threshold of under 10 percent in that bucket. Always pair your headline days in A/R figure with an aging distribution breakdown before concluding your revenue cycle is genuinely healthy.

What Causes High Days in A/R?

Claim submission delays

Every day between the date of service and when a claim actually goes out the door adds directly to your days in A/R. Batch submission delays, incomplete charge capture, and slow coding turnaround all contribute here before a claim even reaches a payer.

Eligibility issues

Claims submitted with inactive coverage, incorrect member information, or an outdated payer assignment get rejected or denied, adding rework time that wouldn't have been necessary with accurate front-end verification.

Claim denials

Rising denial rates are one of the most significant drivers behind climbing days in A/R industry-wide. Initial denial rates reached 11.8 percent in 2024, up from 10.2 percent a few years earlier, and every denied claim that requires correction and resubmission adds real time to the collection cycle.

Prior authorization problems

Missing, expired, or mismatched prior authorizations are a common and largely preventable cause of delayed payment, since these claims typically can't move forward until the authorization issue is resolved.

Slow payer payments

Some of this is outside a practice's direct control, but understanding typical payer turnaround times, and flagging payers that consistently pay slower than their contracted timelines, helps target follow-up effort where it actually matters.

Poor A/R follow-up

A significant share of practices simply don't follow up on outstanding claims aggressively enough. Survey data from MGMA found that 42 percent of medical groups wait 91 to 120 days before sending a balance to collections, 32 percent wait 120 days or more, and 10 percent never send accounts to collections at all. Claims that age past timely filing deadlines without follow-up become permanently unrecoverable, directly inflating both the A/R balance and the days in A/R calculation.

How Days in A/R Connects With Other RCM Metrics

Clean claim rate

A low clean claim rate means more claims require correction and resubmission before they can be paid, directly adding time to the collection cycle and pushing days in A/R upward.

Denial rate

Denials are one of the most direct drivers of high days in A/R, since every denied claim requires investigation, correction, and resubmission before payment can occur.

A/R aging

Days in A/R gives you a single average number, while A/R aging shows the actual distribution of that receivable across time buckets. The two metrics should always be reviewed together, since a reasonable average can still hide a growing concentration of very old, increasingly uncollectible claims.

Net collection rate

Net collection rate measures whether you're actually collecting what you're contractually entitled to collect. A practice can have a reasonable days in A/R and still be losing money to underpayments or write-offs that never show up in the timing metric at all.

First-pass resolution

This tracks how many claims are paid correctly on the very first submission without requiring correction. A low first-pass resolution rate is often the earliest visible sign that days in A/R is about to start climbing.

How to Identify Where Your A/R Is Getting Stuck

  1. Break down your aging report by payer, since a single slow or problematic payer can disproportionately drag your overall number.
  2. Segment aging by denial reason, so you can see whether the bottleneck is eligibility, coding, authorization, or something else entirely.
  3. Review claims specifically in the 60 to 90 day range closely, since this window is often where recoverable claims start slipping toward becoming permanently uncollectible.
  4. Compare days in A/R trends month over month, not just the current snapshot, to catch a worsening trend before it becomes a crisis.
  5. Cross-reference your aging report against your denial and clean claim rate trends to see whether the root cause sits upstream, at submission, or downstream, in follow-up.

7 Ways Medical Practices Can Reduce Days in A/R

  1. Submit claims faster. Tighten the window between the date of service and claim submission, since every day of delay here adds directly to the final number.
  2. Verify eligibility before every visit. Catching coverage issues before the claim goes out prevents an entire category of avoidable denials and rework.
  3. Improve clean claim rate. Use claim scrubbing and coding accuracy checks before submission, so fewer claims come back requiring correction in the first place.
  4. Prioritize A/R follow-up by age and dollar value. Focus staff time on the claims most likely to become uncollectible or that represent the largest recoverable balances, rather than working the queue in random order.
  5. Track denials by root cause. Fixing the underlying process issue behind a recurring denial pattern prevents dozens of future claims from needing the same rework.
  6. Set firm internal follow-up timelines. Waiting 90 or 120 days to act on an unpaid claim, as a significant share of practices currently do, meaningfully increases the risk that claim never gets collected at all.
  7. Conduct regular payer variance reviews. Comparing actual payments against contracted rates catches underpayments that would otherwise sit accepted as payment in full, and practices doing this quarterly have been shown to collect meaningfully more per claim than those that don't.

How Denial Management Can Lower Days in A/R

Because denials are one of the single largest contributors to rising days in A/R, a strong denial management process is one of the highest-leverage ways to bring the number down. That means more than just resubmitting denied claims one at a time. It means tracking denial reasons by category, identifying whether a specific payer, provider, or service line is generating a disproportionate share of denials, and fixing the process gap at the source rather than just reworking each claim as it comes in.

Practices that treat denial management as a root-cause exercise, rather than a reactive rework queue, consistently see both their denial rate and their days in A/R improve together, since the two metrics are so closely linked.

When to Consider Outsourcing A/R Management

  1. Days in A/R has been stuck above 50 days despite internal effort to bring it down.
  2. Billing staff turnover keeps resetting progress on payer-specific follow-up knowledge and process improvements.
  3. Claim volume has outpaced your team's follow-up capacity, leaving older claims sitting untouched while staff focus on current submissions.
  4. Your aging report shows a growing concentration in the 90-plus day bucket even if the headline days in A/R number still looks acceptable.
  5. Leadership lacks clear, regular visibility into days in A/R, aging distribution, and denial trends as distinct, tracked metrics.

A Practical Days-in-A/R Improvement Strategy for Medical Practices

Start by establishing your current baseline using the correct gross-charges formula, then break that number down by payer and by aging bucket rather than relying on the aggregate figure alone. From there, identify your single largest contributing factor, whether that's submission delays, a specific payer's slow turnaround, or a denial pattern tied to a particular service line, and fix that one issue thoroughly before moving to the next.

Set a specific, realistic target based on your specialty's benchmark range, track days in A/R monthly alongside clean claim rate and denial rate, and review your aging distribution every month, not just when the headline number starts to look concerning. Improvement here tends to compound. Fixing front-end eligibility issues reduces denials, which improves clean claim rate, which naturally brings days in A/R down without requiring a separate, isolated fix for the timing metric itself.

Common Mistakes Practices Make Tracking Days in A/R

  1. Calculating the formula using net revenue instead of gross charges, which produces an artificially flattering number that hides real problems.
  2. Looking only at the aggregate days in A/R figure without reviewing the underlying aging distribution.
  3. Waiting 90 to 120 days or longer before sending unpaid balances to collections, a pattern nearly three-quarters of practices fall into according to MGMA survey data.
  4. Treating days in A/R as an isolated number rather than connecting it to clean claim rate, denial rate, and first-pass resolution trends.
  5. Using a single-month calculation instead of a rolling 90-day window, which produces a number that swings with seasonal noise rather than reflecting a stable trend.
  6. Benchmarking against a universal target rather than the range appropriate to the practice's specific specialty.

Frequently Asked Questions

What does days in A/R mean in medical billing?

Days in A/R measures the average number of days between when a practice bills for a service and when it collects payment for it, reflecting how quickly the revenue cycle is converting billed charges into actual cash.

How do you calculate days in A/R?

Divide total accounts receivable by average daily charges, where average daily charges equals trailing 90-day gross charges divided by 90. This is the standard formula used by both MGMA and HFMA for physician practice benchmarking.

What is a good days in A/R benchmark for a medical practice?

HFMA's target range is 30 to 40 days, with under 30 days considered top-performer status. MGMA's most recent survey data puts the broader practice median at 47 days, with better-performing practices at 35 to 36 days. Above 50 days signals a real problem requiring intervention.

Does days in A/R vary by medical specialty?

Yes. General benchmarks suggest under 35 days for primary care, under 38 for internal medicine, under 40 for cardiology, under 42 for orthopedics, and under 45 for behavioral health and oncology, though these ranges should be treated as orientation rather than fixed targets.

Why is my days in A/R number good but my A/R aging report still concerning?

A healthy aggregate days in A/R figure can still mask a concentration of old, increasingly uncollectible claims in the 90-plus day bucket. Always review aging distribution alongside the headline number rather than relying on either metric alone.

What's the biggest driver of rising days in A/R?

Rising denial rates are one of the most significant industry-wide factors, with initial denial rates reaching 11.8 percent in 2024, up from 10.2 percent. Every denied claim requiring correction and resubmission adds real time to the collection cycle.

How does denial management affect days in A/R?

Because denials are such a direct contributor to aging receivables, addressing denial root causes rather than just reworking individual claims tends to improve both denial rate and days in A/R together, since the two metrics are closely linked.

How often should a practice send unpaid balances to collections?

MGMA survey data found that 42 percent of medical groups wait 91 to 120 days and 32 percent wait 120 days or more before sending balances to collections, a pattern that meaningfully increases the risk those claims become permanently unrecoverable. Establishing firmer internal follow-up timelines helps prevent this.

When should a practice consider outsourcing A/R management?

Signals worth watching include days in A/R stuck above 50 days despite internal effort, frequent billing staff turnover, claim volume outpacing follow-up capacity, and a growing concentration of claims in the 90-plus day aging bucket even if the headline number looks acceptable.

What's the difference between days in A/R and A/R aging?

Days in A/R is a single average number reflecting overall collection speed, while A/R aging shows the actual distribution of outstanding receivables across specific time buckets. Both should be reviewed together for an accurate picture of revenue cycle health.

Final Takeaway: Use Days in A/R as an Early Warning Metric

Days in A/R works best as a leading indicator, not a report card you check after the damage is already done. A practice tracking this number weekly, alongside its aging distribution, denial rate, and clean claim rate, catches a worsening trend early enough to fix it before it turns into a genuine cash flow problem. Practices sitting comfortably in the 30 to 35 day range didn't get there by accident. They built fast claim submission, accurate front-end verification, and disciplined follow-up directly into how they operate, and they treat this number as one of the first places to look whenever something in the revenue cycle feels off.

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