AR Benchmarks by Specialty: What Cardiologists, Behavioral Health, and Primary Care Should Expect

Comparing your AR Days to a single industry number is like comparing a cardiology practice’s revenue cycle to a primary care practice and expecting the same result. The workflows are different. The payor mix is different. The authorization burden, the documentation complexity, and the visit frequency are all different, and all of these factors affect how fast claims pay.

This article explains how to calculate AR Days correctly, what drives legitimate differences by specialty, and how to use benchmarks without chasing a number that does not fit your operating model.

Disclaimer: This article is for general informational and educational purposes only. It does not constitute legal, financial, or compliance advice. AR benchmarks vary by specialty, practice size, payor mix, and market. Published benchmark ranges reflect broad industry data and may not reflect your practice’s specific operating conditions. Consult a qualified revenue cycle advisor before using benchmarks as sole performance targets.

Key Takeaways

• A single universal AR benchmark does not apply equally across specialties. AR Days in cardiology, behavioral health, and primary care reflect different workflows, not different billing quality.
• The HFMA MAP Key FM-1 formula, net A/R divided by average daily net patient service revenue, is the standard calculation for Net Days in A/R.¹ Comparing only the output without matching the denominator calculation leads to misleading conclusions.
• A benchmark that looks normal at the practice level can mask a deteriorating payor segment or service line. Benchmark interpretation requires segmentation by payor, service type, and aging bucket, not just a total number.
• The benchmark question that matters most is not ‘are we at the right number?’ It is ‘is our number getting worse, and do we know why?’

Why One AR Benchmark Cannot Fit Every Specialty

The HFMA MAP Key FM-1 defines Net Days in A/R as net A/R divided by average daily net patient service revenue.¹ The formula is standard. What changes across specialties is everything that determines how quickly the numerator (net A/R) gets paid down.

Prior authorization requirements, procedural complexity, device and drug billing, recurring visit models, panel constraints, and payor-specific documentation standards all affect the adjudication timeline independently of billing quality. A days in AR figure of 48 days might be excellent for a cardiology group managing complex device and procedure billing. The same number in a high-volume primary care practice with a straightforward payor mix suggests a problem.

This is why published revenue cycle management benchmarks that present a single national figure for AR Days are useful only as a starting point. The benchmark that matters is the one calibrated to your specialty, your payor mix, your practice setting, and your volume.

Practices that chase a generic target without these adjustments frequently make workflow changes in response to a number that was never an accurate peer comparison in the first place.

How to Calculate AR Days and Compare It Fairly

The HFMA MAP Key formula for Net Days in A/R: net A/R (from the balance sheet, net of contractual allowances, charity care, and bad debt) divided by average daily net patient service revenue (three-month rolling average of net patient service revenue divided by the number of days in those three months).¹

Before comparing your accounts receivable days to any benchmark, confirm five things.

• First, that your AR calculation is net, not gross. Gross AR inflated by contractual allowances produces artificially high AR Days that are not comparable to net-based benchmarks.
• Second, that your denominator uses a three-month rolling average of net revenue, not a single-month figure.
• Third, that you are including all payor types in the calculation, not just commercial.
• Fourth, that you are comparing to a benchmark derived from the same practice setting, ambulatory physician practices have different AR profiles than hospital outpatient departments.
• Fifth, that you are comparing to a specialty-specific benchmark rather than a cross-specialty average.

The how to reduce AR days guide covers the operational levers that improve the AR Days metric once you have a valid baseline.

The aging profile alongside the AR Days figure is equally important. A practice with 38 AR Days but 35% of total billed AR over 90 days has a distribution problem that the headline number conceals. The aging AR patterns that signal cash-flow risk are covered in the AR aging guide.

Cardiology AR: Where Complex Claims Age

Cardiology practices consistently carry higher AR Days than primary care because the billing cycle is longer by design. Prior authorization for high-value procedures, echocardiograms, stress tests, cardiac catheterizations, ablations, device implants, must precede the service, and authorization delays extend the pre-billing window.

Device and drug billing requires separate HCPCS codes with distinct coverage criteria, and discrepancies between what was implanted and what was billed generate holds rather than immediate denials.

The result is that cardiology medical billing AR Days in the 45 to 60-day range may reflect normal processing complexity rather than billing performance failure, but only if the over-90-day percentage is low and the aging distribution is not worsening. A cardiology practice with 52 AR Days and 12% over 90 days is performing differently than one with 52 AR Days and 31% over 90 days. The number alone does not distinguish them.

Cardiology-specific AR follow-up practices are covered in the specialized AR follow-up services for cardiology billing guide.

The specific cardiology billing challenges that drive AR aging, including device code discrepancies, modifier mismatches, and authorization expiration, are the root causes that separate preventable AR aging from structurally longer adjudication cycles. A cardiology practice whose AR aging is concentrated in the 91-plus bucket from device or authorization denials has a correctable problem. One whose aging reflects payor processing timelines does not.

Behavioral Health AR: Recurring Care and Payor-Rule Friction

Behavioral health practices operate under a recurring care model, weekly or biweekly sessions across months, that creates a different AR dynamic than episodic care. Authorization renewal is required throughout the treatment course, not just at intake. Payor coverage rules for behavioral health billing vary significantly by credential type, benefit structure, and state parity law. Panel closures affect which claims pay in-network versus out-of-network. The combination produces an AR profile where billing accuracy is only one of several variables determining whether a claim pays.

A behavioral health practice should expect AR Days in the 35 to 55-day range depending on payor mix and authorization burden, with meaningful variation by practice size and patient population. The over-90-day bucket in behavioral health is most often driven by three specific causes: expired authorizations generating post-service denials that require documentation appeals, patient balance aging in high-deductible patients who accumulate balances across a long treatment course, and credentialing or panel-status issues that affect claims under specific commercial payors. The denial patterns that drive behavioral health AR aging are covered in the behavioral health billing denials guide.

How specialty revenue cycle strategy differs between behavioral health practices and multi-specialty clinics that include behavioral health is covered in the specialty RCM comparison guide.

Primary Care AR: Volume, Eligibility, and Front-End Leakage

Primary care practices have lower per-visit reimbursement than specialty practices but higher claim volume, which means small errors in eligibility verification, demographic accuracy, or charge capture affect more claims simultaneously. Primary care billing AR Days in the 28 to 42-day range reflect a practice where the front-end intake and coding processes are well-controlled. When AR Days in primary care climb above 45, the cause is usually not payor complexity, it is front-end workflow failure: missed eligibility checks, wrong insurance IDs, copays not collected, or charge lag from incomplete documentation.

The benchmark interpretation for primary care AR requires looking at the front-end inputs, not just the billing outputs. A primary care practice with 48 AR Days and a clean claim rate above 95% is encountering payor-side delays or a specific payor concentration problem. The same practice with a clean claim rate below 90% has a coding, eligibility, or documentation problem that the AR Days figure is only reflecting downstream. The right question is not ‘what should our AR Days be?’ It is ‘which part of our workflow is producing the AR we currently have?’

How Owners and CFOs Should Use Benchmarks Without Chasing the Wrong Number

Use benchmarks as trend context, not as fixed targets. The most useful benchmark question is not ‘are we at 40 AR Days?’ It is ‘are our AR Days moving, which direction, and do we understand why?’ A AR days figure that is 5 days above the specialty average but stable with a strong aging profile is less concerning than a figure at the specialty average that has grown by 8 days over three months without explanation.

Four comparisons provide more useful context than any single number.

1. First, your own trend: is the metric improving, stable, or worsening?
2. Second, payor segment: which specific payors are driving your AR days figure, and are they the same payors that benchmark data reflects?
3. Third, aging distribution: does your AR Days figure reflect a healthy distribution or a tail of aged balances pulling the average up?
4. Fourth, denial rate alongside AR Days: if both are rising, the problem is claim-level. If AR Days are rising while the denial rate is stable, the problem is payor-side processing or follow-up frequency.

Other helpful reads:

• The AR ownership model that determines whether these questions get asked and answered monthly is covered in who should own AR.
• The comprehsensive guide that provides the full AR management framework is the accounts receivable in medical billing guide.

AR Benchmarks by Specialty

Benchmarks are inputs to a decision, not the decision itself. A specialty-aware benchmark interpreted alongside aging distribution, denial rate, clean claim rate, and payor-segment trends gives leadership the context to identify whether AR performance is structurally appropriate or operationally correctable.

A3 Medical Billing company provides best billing services with specialty-specific AR benchmarking built into monthly performance reporting, so the number you see each month comes with the context to interpret it correctly. As a revenue cycle management company for independent and specialty practices in the USA, A3 gives you the niche expertise calibrated to your specialty, not an industry average.

Contact A3 for a free AR performance review and find out how your current AR profile compares to your specialty peer group.

Frequently Asked Questions

How do you calculate AR Days?

The HFMA MAP Key FM-1 standard formula: Net A/R (from the balance sheet, net of contractual allowances, charity care, and doubtful accounts) divided by average daily net patient service revenue (three-month rolling average of net revenue divided by the number of days in those three months).¹ How to calculate AR days correctly requires using net figures for both the numerator and denominator, gross AR inflated by contractual adjustments produces a higher AR Days figure that is not comparable to published net-based benchmarks.

Why do AR benchmarks vary by specialty?

Revenue cycle benchmarks vary by specialty because the billing cycle length is determined by clinical workflow, not billing quality alone. Authorization burden, procedural complexity, device and drug billing, documentation requirements, and recurring versus episodic care models all extend or compress the payment timeline independently of how well claims are coded and submitted. A cardiology practice will structurally carry longer AR Days than a primary care practice with the same billing accuracy because the clinical and payor workflow is more complex.

What should a practice compare alongside AR Days?

Four companion metrics give AR day context that the number alone cannot provide: the aging distribution (what percentage of AR is over 90 days), the denial rate (is AR rising alongside denials or independently), the clean claim rate (is the AR driven by payor processing or by claim rejections), and the payor-segment breakdown (which specific payors are driving the AR figure, and are they high-volume or high-complexity payors whose adjudication cycle is legitimately longer).