Nearly a third of medical practices watched their days in A/R get worse over the past year. Even though most already run an AR aging report on a regular schedule, according to a July 2026 MGMA poll. The report itself was never the missing piece. What separates the practices whose numbers improve from the ones stuck watching balances pile up is what happens after the report generates: whether anyone splits it by payer, connects it to denial reason codes, and assigns a named person to act on what it shows.
This matters because an AR aging report only has value if it changes a decision. A report that gets pulled, glanced at, and filed is administrative overhead with a spreadsheet attached. The rest of this piece covers what the report should actually show and why most practices misread it. Furthermore, a specific weekly workflow that moves the needle on collections rather than just documenting the problem.
Key Takeaways
- Producing the report changes nothing by itself. Poll found nearly a third of medical groups saw days in A/R get worse over the past year. Even though the large majority already run an aging report every month.
- Denials, not slow front-desk work, are the leading driver of aging A/R. The MGMA data shows practice leaders cite denials and appeals as their biggest source of revenue leakage more than twice as often as front-end issues.
- A single days-in-A/R number can hide a real problem. A practice within the 30-to-40-day target can still face hidden danger. They might carry heavy balances in the 90-plus bucket. This happens if nobody reads the report by payer.
- The most effective fix for lowering aging is a cadence change. Review the report by payer every week. Then, assign specific accounts to specific people. Do not just run it once a month for the file.
1. What an AR Aging Report Actually Shows
An AR aging report tracks every single unpaid claim and patient balance you have. It drops them into different buckets based on how long they’ve been sitting there. Usually, those buckets break down into 0 to 30 days, 31 to 60, 61 to 90, 91 to 120, and 121-plus. At the end of the day, the report really just answers one question. Where is your hard-earned revenue stuck, and how long has it been sitting there?
That sounds simple, and the mechanics are simple. The part that goes wrong is what happens after the report generates. The Healthcare Financial Management Association sets a healthy target of 30 to 40 days in A/R. Per HFMA guidance, you must keep total A/R over 90 days under 10%. For self-pay balances over 90 days, the target is under 30%. However, these benchmarks only matter if you review your actual aging distribution on a fixed schedule. Do not just glance at the total number and move on.
Most practices already have the report. The gap is between having it and using it. According to a July 2026 MGMA Stat poll, 43% of medical group leaders said their days in A/R stayed flat. Meanwhile, 32% said things got worse over the year. Only a small 22% reported any real improvement. Nearly all of those practices were already generating an aging report on some schedule. The report was not the missing piece.
2. Why the Report Gets Filed Instead of Followed
The most common reason an AR aging report fails to change anything is that it gets read as a single number instead of a distribution. A practice manager glances at days in A/R, sees it’s close to the benchmark, and moves on. That number can flatter a practice that has real trouble underneath it.
MGMA’s 2026 AR Aging Report Claims
MGMA’s 2026 reporting makes the shape of that trouble explicit. According to MGMA DataDive data, physician-owned practices grew their 0-to-30-day bucket by 2 to 7 percentage points. Hospital-owned groups saw that same healthy bucket shrink by double digits. Instead, their 120-plus day balances surged by nearly 16 points. Two practices can easily share the same average days in A/R. Yet, their actual financial positions can be completely different. One has a clean distribution, while the other carries a long, expensive tail.
The second reason is that the report doesn’t connect balances back to a cause. A bucket showing a large balance aged past 90 days tells a biller how big the problem is. It doesn’t tell them why those specific claims are stuck, and without that, the natural response is to work whatever claim is on top of the pile rather than the claim that’s actually collectible.
This is where denials matter more than most practices treat them. In a January 2026 Stat poll, 48% of practice leaders named denials and appeals as their top issue. They called it their largest source of revenue leakage. That is more than double the 23% who blamed front-end issues like eligibility and registration.
MGMA 2025 Benchmarking Denial Rates Increasing
Benchmarking shows first-submission denial rates have held steady at 7% to 8% for four years. However, 2025 DataDive metrics suggest targeted fixes can push that down below 5%. Every denied claim completely restarts the collection clock. The balance keeps aging from its original date while your staff reworks and resubmits it. It easily drifts into an older bucket the longer that process takes. That is exactly how a 35-day practice turns into a 50-day practice overnight. It happens without anyone changing a single front-desk process.
3. Reading the AR Aging Report the Right Way: Buckets, Payers, and What Each Signals
A useful AR aging report answers three separate questions, and each one needs a different cut of the same data.
How much is stuck, and for how long?
This is the standard bucket view. Anything concentrated in the 91 to 120 or 121-plus buckets deserves attention first, since collection odds drop sharply the longer a balance sits unresolved. A 2021 MGMA DataDive figure put the median share of total A/R over 120 days at 13.54% across multispecialty practices. That specific number is dated now and worth checking against current DataDive benchmarks, but it remains a useful reference point for what a concerning concentration looks like.
Who is holding up the money, payer by payer?
A total-A/R view hides this completely, since your payer mix determines which of these delays actually shows up in your numbers. Running the aging report broken out by payer, rather than only in aggregate, is one of MGMA’s own four recommended checks for revenue cycle teams in 2026. It separates payer-caused delays like slow adjudication and down-coding from delays the practice itself controls, like unsigned encounters or slow charge posting.
A payer that is consistently the slowest payer in the practice’s mix is also the strongest evidence a practice can bring to its next contract negotiation.
Where does the delay in AR Aging Report start, upstream or downstream?
The MGMA guidance recommends measuring the time from the visit to a submitted claim as its own metric, separate from A/R aging. Its benchmark calls for clinicians to close encounters within 72 hours and staff to post charges within two days, against a sector-wide lag of three to seven days.
A claim cannot age in A/R if you haven’t billed it yet. A slow charge-to-submission cycle shows up later as inflated A/R. However, the actual failure happened before the claim ever reached a payer. This is why upstream-to-downstream KPIs are so important. Metrics like charge lag and clean claim rate earn their keep here. They catch the failure before it ever becomes an aged balance.
4. A Framework for Turning the AR Aging Report Into a Weekly Workflow
Reading the report correctly is only useful if it becomes a repeatable routine rather than a one-time review. A practical weekly cadence looks like this:
Pull the AR aging report by payer, not just in total.
Sort each payer’s balances by age bucket separately, so a slow payer doesn’t disappear inside an otherwise healthy overall number.
Triage by dollar value and deadline, not by age alone.
A $200 claim two days from its timely filing deadline deserves attention before a $40 claim sitting at 95 days with no filing risk. MGMA’s own guidance points staff toward working denials daily, starting with high-dollar claims and the nearest appeal deadlines.
Pull the five most common denial reason codes for the period.
Recurring codes point to a process failure at a specific step, whether that’s eligibility, coding, authorization, or documentation, rather than a run of unrelated bad luck.
Assign every aged account to a named person with a follow-up date.
A balance with no owner and no next action date is the most common way a claim quietly ages from the 60-day bucket into the 90-day bucket.
Bring payer-level AR aging report into contract and budget conversations.
A payer’s consistent slowness is leverage in a renewal discussion; an average days-in-A/R number by itself is not.
How CureAR Helps with AR Aging Report Management.
This is the part of the workflow where end-to-end RCM software can help by grouping claims by insurance, aging bucket, denial code, and follow-up status, reducing the need for a biller to rebuild that view manually every week.
CureAR’s dashboard supports this type of visibility directly, with a denial and AR summary that drills down by insurance, aging, denial code, and follow-up status, alongside a built-in claim scrubber that checks claims against the clearinghouse before submission. That combination gives a team the view they need to catch problems early and decide where to focus, rather than software making the call for them.
5. Building the Report Correctly: Data, Cadence, and Common Mistakes
A few structural mistakes show up repeatedly in practices whose aging report doesn’t reflect reality:
- Aging by billing date instead of service date. Aging a claim from when it was billed rather than when the service happened hides delays that occurred before the claim ever went out, which is exactly the upstream problem MGMA’s four checks are designed to surface.
- Mixing insurance and patient balances in one bucket. Payer-caused delays and patient-caused delays need separate follow-up strategies. Blending them into a single total obscures which side of the ledger is actually the problem.
- Running the report monthly when the underlying process is broken weekly. A monthly cadence is enough to monitor a stable process. It is not enough to catch a denial pattern before thirty more claims hit the same wall.
- Treating the average as the whole picture. As covered above, the average days-in-A/R figure can look acceptable while a real concentration problem sits in the 90-plus bucket underneath it.
How Practices Manage their AR Aging Reports for Faster Reimbursement
None of these are exotic fixes. They’re closer to discipline than technology, which is part of why the practices that improve their aging tend to describe deliberate operational changes rather than a single tool purchase. In MGMA’s July 2026 polling, one respondent described an overhaul that brought days in A/R down from 67 to under 34. The changes behind it were staffing, denial management process, and closing encounters sooner, not a single new report format or a one-time software switch.
A related mistake worth naming on its own: treating charge capture as separate from A/R management. A claim that sits uncoded or unposted for a week hasn’t started aging yet in the system, which can make a practice’s A/R look artificially healthy while revenue is actually stalled even earlier in the process. Tracking charge lag alongside the aging report closes that blind spot.
For practices evaluating end-to-end RCM software, this distinction matters. The useful question isn’t simply whether software can produce an aging report; most systems can do that. The more important question is whether it helps connect the aging signal to the claims, denials, payer activity, and follow-up work that determine what happens next.
6. What a Healthy vs. Unhealthy Aging Report Looks Like
| Signal | Healthy pattern | Warning pattern |
| Days in A/R | 30 to 40 days, per HFMA’s target range | Above 50 days, or trending upward for two straight reporting periods |
| A/R over 90 days | Under 10% of total A/R | 20% or more concentrated past 90 days |
| Self-pay A/R over 90 days | Under 30% of self-pay balances | Rising steadily with no time-of-service collection change |
| Aging report cadence | Reviewed weekly, by payer | Pulled monthly, reviewed only in total |
| Denial follow-up | Worked daily, prioritized by dollar value and filing deadline | Worked in the order claims arrived, with no deadline triage |
| Account ownership | Every aged claim assigned to a person with a follow-up date | Aged claims with no named owner |
7. Putting It Into Practice: A Composite Example
Consider a composite, illustrative example built from patterns described above rather than a single real practice. A multi-provider primary care group runs its AR aging report monthly and sits at 44 days in A/R, inside the acceptable range but drifting upward for two straight quarters. The total number looks fine, so nobody investigates further.
When the practice manager finally splits the report by payer, one commercial payer is responsible for nearly 40% of the balances sitting past 90 days, driven by a recurring downcoding pattern on a specific procedure code. The practice had been working those claims in the order they arrived rather than by payer or dollar value, so the pattern went unnoticed for months.
Once identified, the fix wasn’t new software. It was a standing weekly review of that payer’s aging bucket, a documented appeal template for the specific downcoding issue, and a named staff member responsible for that payer’s queue. Days in A/R for that payer’s claims came down within two reporting cycles, not because the report changed, but because someone finally read it by payer instead of in total.
Final Thougths
An AR aging report is only as useful as the workflow built around it. The data in this piece points to a consistent pattern: practices that are already generating the report but still watching their days in A/R drift upward are often reading it as one number instead of a distribution, without connecting it back to denial reason codes or payer-specific behavior.
The practical response is a weekly operating habit: split the report by payer, prioritize balances by dollar value and filing deadlines, identify recurring denial patterns, and give every aged claim a named owner with a next action date. End-to-end RCM software can support that process by making these relationships easier to see and act on, but technology works best when it reinforces a defined workflow rather than attempting to replace it.
For practices looking to improve visibility across the revenue cycle, CureAR is an AI-infused Practice Management and Predictive RCM Without Multi-Clearinghouse Logins, giving teams a way to connect front-end activity, claims, denials, A/R, payments, and follow-up within the same revenue-cycle workflow. The value is not simply generating another report; it is helping the team understand what the report is showing and where action is needed. Schedule a demo with us to see how you can streamline your revenue cycle and improve collections. make it more better.
Frequently Asked Questions (FAQs)
An AR aging report is a breakdown of a practice's unpaid claims and patient balances, sorted by how long each one has been outstanding, usually in 30-day buckets from 0 to 30 days through 121-plus days. It's the primary tool for seeing where earned revenue is stuck and for how long.
HFMA's target range is 30 to 40 days. Practices consistently above 50 days generally have a specific, findable problem in claims submission, denial follow-up, or payer behavior rather than general inefficiency.
Weekly is the cadence that actually catches denial patterns and slow payers before they compound. A monthly pull is enough to monitor a stable, already-healthy process, but it's too slow to catch a new problem early.
The report usually isn't the missing piece. The most common cause is reviewing it only as a single total number rather than broken out by payer, and not connecting aged balances back to the specific denial reason codes causing them.
HFMA recommends keeping total A/R over 90 days under 10%, and self-pay balances over 90 days under 30%. A practice with 20% or more of its A/R concentrated past 90 days has a structural collection problem worth investigating immediately.
Separately. Payer-caused delays, like slow adjudication or downcoding, need a different follow-up approach than patient-caused delays, like unpaid deductibles. Combining them into one bucket makes it harder to tell which side of the ledger actually needs attention.
Denials. MGMA data shows practice leaders cite denials and appeals as their top source of revenue leakage more than twice as often as front-end issues like eligibility and registration, and every denied claim adds rework time on top of the balance's normal aging, pushing it into an older bucket the longer resolution takes.
Not necessarily. A practice can sit inside the 30 to 40 day target on average while a specific payer or claim type is quietly building up in the 90-plus bucket. Splitting the report by payer is the way to catch that before it grows.
No. The practices that bring their aging down consistently describe deliberate process changes, like weekly payer-level review, denial triage by dollar value, and named account ownership, alongside better tools. A dashboard that already groups claims by aging bucket and denial code removes manual rebuilding of that view, but someone still has to act on what it shows.
