How is Days in A/R calculated?
A common revenue-cycle formula is Days in A/R = accounts receivable ÷ average daily revenue. For example, $1,200,000 in A/R divided by $30,000 in average daily revenue equals 40 Days in A/R. Organizations should use one approved revenue basis consistently because changing the denominator changes the result.
Days in A/R
HFMA's MAP Keys describe net days in A/R as a trending indicator of overall A/R performance, using net A/R divided by average daily net patient service revenue. Organizations should use a consistent revenue basis and clearly document whether the dashboard uses gross or net A/R.
Simplified example
If net A/R is $1,200,000 and average daily net patient service revenue is $30,000:
$1,200,000 / $30,000 = 40 days in A/R
Aging buckets
Days in A/R summarizes the whole receivable. Aging reports separate balances by age, commonly into ranges such as 0-30, 31-60, 61-90, 91-120 and more than 120 days. The exact buckets can vary by system.
What aging can reveal
- Claims that were never received or accepted.
- Pending authorization or medical-record requests.
- Repeated denials with no completed next action.
- Secondary or patient balances that were not transferred correctly.
- Payer-specific processing delays.
- Old credits or unresolved account adjustments.
Prioritize intelligently
Age alone should not determine follow-up priority. Combine age with balance size, timely-filing or appeal deadlines, payer behavior, denial reason and likelihood of recovery. A high-dollar claim nearing an appeal deadline may require faster action than a newer low-dollar balance.
Quick knowledge check
What does days in A/R broadly measure?
How many days of average revenue are represented by outstanding receivables under the organization's chosen formula.
Why review aging buckets in addition to total A/R?
They show where balances are accumulating and which receivables are becoming old.
Should follow-up priority be based only on age?
No. Consider dollars, deadlines, payer status, denial reason and recovery likelihood.
Related services, tools & guides
Use these next-step resources to connect the lesson with real revenue-cycle workflows.
Create a free learner account to mark lessons complete and track Module 10 on your dashboard.
Create Free Account