How to Reduce Days in A/R in Dental: Shortening the Claims Clock from Visit to Payment

Every day a dental claim sits unpaid, the practice is effectively financing its payors. For a single office, that shows up as a tight month. For a dental service organization with dozens or hundreds of locations, it shows up as working capital tied up in receivables, a weaker earnings story in diligence, and a growing inventory of claims that may never be collected.

The metric that captures this is days in accounts receivable (days in A/R, sometimes called days sales outstanding), which tells you how many days of production are sitting in receivables waiting to be paid. Most practices track it, but far fewer know what actually drives it. That is because days in A/R is not a single problem. It is the sum of five separate delays, each with its own owner and its own fix.

This guide breaks down that "claims clock," shares what we found when reviewing de-identified insurance receivables across the operating regions of a multi-state DSO, and sets out the levers that shorten each stage.

What Days in A/R Measures, and a Common Measurement Trap

The standard calculation is straightforward:

Days in A/R = Total A/R ÷ Average daily production

Average daily production is usually total production over a recent period, often three months, divided by the number of days in that period. The trap lies in which days you count. Some practices and billing teams divide by production days, the days the office was open and producing. Others divide by calendar days. The difference is substantial. In the DSO data discussed below, the same region measured in the high 20s on a production-day basis and around 40 days on a calendar-day basis for the same period. Nothing about the receivables changed; only the denominator did.

Neither approach is wrong, but mixing them is. Comparing a production-day figure against a calendar-day benchmark will make performance look considerably better than it is. The fix is simple: choose one definition, document it, and apply it consistently across every location, region, and report.

Published Reference Ranges

Published benchmarks for dental receivables vary by source, and most of the available guidance comes from billing companies and practice software vendors rather than independent research. They are best treated as reference ranges rather than definitive industry averages.

One further reference point explains why aged receivables matter so much. Pearly cites Sikka Software data indicating that practices typically collect only 15–25% of balances once they pass 90 days. At that point a receivable is no longer a timing problem; it is a collectability problem.

What the Data Showed Inside One DSO

As part of a revenue cycle engagement, we reviewed de-identified insurance receivables across the operating regions of a multi-state dental service organization. The regions ran on common practice management infrastructure and standardized billing policies. The snapshot below comes from the early phase of the engagement, so it already reflects some improvement. Even so, the variation was striking. To protect client confidentiality, figures are rounded or presented as ranges.

Days in A/R varied dramatically under common systems. Insurance days in A/R ranged from the low 20s in the strongest regions to the mid-60s in the weakest, measured on a calendar-day basis, with the midpoint in the low 40s. Because the technology and policies were essentially the same everywhere, the difference came down to execution: how consistently claims went out, how quickly denials were worked, and how systematically aged claims were followed up.

Long A/R and aged A/R were largely the same problem. The share of insurance A/R aged 90 to 360 days ranged from the high teens to the high 30s across regions, and the regions with the longest days in A/R were almost without exception those carrying the most aged claims. In other words, days in A/R was not being driven by claims that paid slowly but steadily. It was being driven by a long tail of claims that nobody was resolving.

Net collection rates varied widely. Net insurance collection rates ranged from the mid-80s to the high 90s. The best regions were converting nearly all expected insurance revenue into cash, while the weakest were leaving a meaningful share of collectible revenue on the table.

Roughly one in ten claims was denied. Across the organization, about one in ten insurance claims was denied, with regional denial rates ranging from the mid single digits into the mid-teens. The two most common causes were missing attachments (radiographs, periodontal charting, narratives) and "claim not on file," meaning the payor had no record of receiving the claim. Eligibility denials were a comparatively small share. That matters, because both leading causes are largely preventable at the front end.

Payor behavior varied almost as much as regional behavior. Among the larger payors, the share of each payor's balance aged beyond 90 days ranged from single digits to the low 30s, even though the offices, patients, and billing infrastructure were the same. A single follow-up cadence applied to every payor will be too slow for some and wasted effort for others.

The aging profile had a long tail. About two-thirds of insurance A/R was current, but close to one-fifth was more than 90 days old, and a smaller but meaningful portion had aged beyond a year. Measured against the reference ranges above, that tail was one of the clearest areas of recoverable opportunity.

The Five Stages of the Claims Clock

Days in A/R is the total of five sequential delays. Improving the total means working on each stage with the person who owns it.

Stage 1: Visit to claim submission

Owner: front office and billing

Delays here come from claims batched weekly rather than daily, claims held back for missing attachments, notes, or signatures, and procedures completed but never posted. The fixes are operational:

• Submit claims the same day as the visit, and track the percentage that go out within 24 hours.
• Build attachment requirements into the clinical workflow, so radiographs, periodontal charting, and narratives are captured before the patient leaves rather than requested after a denial.
• Review a daily unbilled-procedures report so nothing completed sits unposted.

Stage 2: Clean claim acceptance

Owner: billing, with front-office support

Claims fail first-pass review because eligibility was not verified, subscriber details are wrong, attachments are missing, or codes are incorrect.

• Verify eligibility and benefits before the appointment, not at check-in.
• Track first-pass acceptance (clean claim rate) by office and by payor, with 95% or higher as the strong-performance reference point.
• Use claim scrubbing to catch errors before submission.

Stage 3: Payor adjudication

Owner: billing

Time is lost when a payor has no record of a claim, when slow-moving claims are left untouched, and when paper claims and paper checks add processing days.

• Confirm receipt of every claim within a few days of submission. A claim found missing at day five is a quick resubmission; the same discovery weeks later can become a timely-filing problem.
• Set follow-up cadences by payor, based on each payor's actual payment behavior rather than one rule for all.
• Move payors to electronic claims, electronic remittance advice (ERA), and electronic funds transfer (EFT) wherever possible.

Stage 4: Denial rework

Owner: billing

Denials are often worked in the order they arrive rather than by value and urgency, and the same denial reasons recur month after month because the upstream process never changes.

• Work denials promptly, prioritized by dollar value, recoverability, and time remaining before timely-filing limits.
• Categorize every denial by reason and review the highest-volume categories monthly.
• Treat recurring denials as process defects upstream, not billing tasks, and feed the patterns back to front-office and clinical teams. For example, flag which procedures consistently need specific attachments for specific payors.

Stage 5: Patient balance collection

Owner: front office

Patient balances age when estimates are inaccurate, expected portions are not collected at the visit, and statements go out without follow-up.

• Present accurate estimates before treatment and collect the estimated patient portion at the visit.
• Offer card-on-file and payment-plan options for larger balances.
• Send balances promptly after insurance adjudicates, while the treatment is still recent.

What Changed When the Clock Was Managed Stage by Stage

In the DSO described above, the engagement applied this approach across its operating regions: measuring each component of the claims clock, setting targets, analyzing performance by payor, and establishing a regular management cadence for denials and aged claims.

Over the first three months, net insurance collection performance improved from the mid-80s to the low 90s, a gain of roughly seven to eight percentage points. Every region improved, so the result was broad-based rather than driven by one or two outliers. The number of regions collecting above 90% increased substantially, and several of the weakest regions improved by ten percentage points or more.

The financial effect adds up quickly. On every $1 million of monthly insurance production, a seven-and-a-half-point improvement in net collections represents roughly $75,000 of additional cash each month, assuming production and collectible balances hold steady. That cash comes without additional patients, fee increases, or new locations. And the remaining variation between regions is the next layer of opportunity: the strongest regions show what the rest can reach on essentially the same systems once execution becomes consistent.

Why This Matters Beyond the Billing Office

For practice owners, days in A/R is fundamentally a cash-flow issue. A practice producing $300,000 a month in insurance charges generates roughly $10,000 of production per calendar day, so reducing days in A/R by ten days releases around $100,000 of working capital, once, without adding a single patient. The arithmetic scales directly: a DSO producing ten times as much has ten times as much cash tied to every day of receivables.

For DSOs and private equity sponsors, receivables quality is also a diligence issue. Buyers look at aging, not just the gross A/R balance. A heavy concentration of receivables over 90 days suggests that some recognized revenue may prove difficult to collect, which affects quality-of-earnings analysis, working-capital adjustments, and ultimately valuation. Getting the claims clock under control before a transaction protects value as well as liquidity. For a broader framework, see our DSO acquisition due diligence checklist.

A Weekly Scorecard for the Claims Clock

Organizations that keep days in A/R low measure the stages, not just the final number. A practical weekly scorecard, reviewed by office and region, covers seven measures:

1. Claims submitted within 24 hours, as a percentage of visits
2. Clean claim rate, or first-pass acceptance
3. Claims not confirmed as received after five days, as a count
4. Denial rate and top denial reasons
5. Insurance A/R over 90 days, as a percentage of total and by payor
6. Days in A/R, on one consistently defined basis
7. Patient portion collected at time of service, as a percentage

The DSO data makes the underlying principle clear. Organizations running essentially the same systems can produce dramatically different A/R outcomes, because software creates capability but operational discipline determines the result. Measuring each stage of the claims clock makes that discipline visible and manageable.

For more on revenue cycle performance, see our dental RCM benchmarks, our guide to improving dental practice collections, and our DSO RCM transformation case study.

Sources

• Dental Billing Assist, "Dental Billing KPIs and Benchmarks: The Numbers Every Practice Should Track." https://dentalbillingassist.com/blog/posts/dental-billing-kpis-benchmarks
• Pearly, "Practice Benchmarking for Accounts Receivable," including Sikka Software data on collection of balances aged beyond 90 days. https://www.pearly.co/dentistry-huddle/dental-practice-benchmarking-for-accounts-receivable
• DSO operating data: de-identified and aggregated insurance receivables and denial data from a multi-state dental service organization reviewed by Viturtal Consulting. Figures and ranges have been rounded or broadened to protect client confidentiality while preserving the underlying findings. No client name, location name, payor name, patient-level data, or individually identifiable information is disclosed.

Dr. Hendrik Lai is Managing Partner of Viturtal Consulting, advising dental practices, DSOs, and private equity sponsors on operational execution, revenue cycle improvement, and value creation. He can be reached at hendrik@viturtal.com.