Days in AR gets treated as a single number to watch: is it going up or down this month. That number is really the output of several separate mechanics, how fast claims move through payer processing, where a facility’s benchmarks actually sit, and whether follow-up happens on a schedule or only once a claim already looks old.
- Days in AR is a lagging indicator, not a lever you pull directly — it moves because of what happens earlier in the claim lifecycle.
- Payer-by-payer benchmarks vary widely, so a single facility-wide AR target usually hides which specific payers are actually the problem.
- Scheduled follow-up catches stalled claims before they age into a risk bucket, while reactive aging-report review only catches them after.
- All three pieces feed the same number — improving days in AR means addressing the mechanics behind it, not just watching the metric move.
The three pieces below describe one system rather than three metrics. Behavioral health AR follow-up works when they move together, and stalls when a facility watches the number without touching the mechanics underneath it.
Start with the metric itself. Days in AR covers what the number actually represents and why treating it as the goal, rather than the output of upstream mechanics, misses where the real leverage is.
A facility can chase the days-in-AR number directly and still not fix anything, because the number is downstream of decisions made earlier: which payers get worked first, how claims are prioritized, and when follow-up actually starts.
The average number of days it takes a claim to move from submission to payment, used as a summary indicator of how well a billing operation’s follow-up and collections process is performing.
That summary number hides real variation underneath it. The claims-aging clock and payer-by-payer benchmarks covers why a single facility-wide days-in-AR figure obscures which specific payers are actually driving the average up.
Two payers can produce the same blended average while one processes claims in 20 days and the other in 70. Treating both the same way, with one generic follow-up cadence, misallocates attention toward the payer that doesn’t need it. Telling them apart requires aging split payer by payer, not a single blended days-in-AR figure.
Days in AR tells a facility something is or isn’t working. It doesn’t say which payer, which claim type, or which stage of the process is responsible. That requires breaking the number down by payer and looking at what actually happens between submission and payment, not just watching the top-line figure move.
Once the breakdown is clear, the fix is procedural. Scheduled AR touchpoints covers why checking every claim on a bi-weekly timeline, day 14, day 28, day 42, catches stalled claims before they age into a risk bucket, instead of waiting for the aging report to notice.
This is the mechanism that actually moves the metric. HFMA’s own MAP Keys guidance treats consistent follow-up discipline, not reactive aging-report review, as the standard well-performing organizations run on.
Days in AR, payer-specific benchmarks, and scheduled follow-up are one system, not three separate topics. Improving claims follow-up means working all three together, not watching one number and hoping it improves.
Can a facility improve its days in AR by focusing on that number directly?
Not effectively. Days in AR is a lagging indicator that reflects upstream decisions, payer-specific patterns and follow-up timing. Improving it requires addressing those mechanics, not just monitoring the metric.
Is a single facility-wide days-in-AR benchmark useful?
It’s a starting point, but it hides payer-level variation. Two payers can produce the same blended average with very different underlying processing speeds.
How does scheduled follow-up differ from working the aging report?
Scheduled follow-up checks every claim on a fixed timeline regardless of how old it looks. Working the aging report only catches claims once they’ve already aged into a risk bucket.
What's considered a healthy days-in-AR benchmark?
HFMA and MGMA benchmarks generally treat 30 to 40 days as healthy, with top-performing organizations keeping it under 25.
- Payer-by-payer benchmarking instead of one facility-wide average
- Scheduled touchpoints that catch stalled claims before they age
