Your collections team runs aging reports every Monday morning. They prioritize by age: 120+ days first, then 90-day, then 60-day. They make calls, send letters, follow up.
They work hard. Revenue still falls short.
Collections teams lack the information they need to prioritize effectively. Aging reports answer one question: “How old is this receivable?” They don’t answer the questions that actually drive recovery: “Which payer is this? What’s their historical pay pattern? What’s the probability this specific claim will ever be collected? Where should we focus our limited staff time?”
Collections teams make dozens of tactical decisions every day based on a single data point when recovery depends on multiple variables they can’t see.
Why Age-Based Prioritization Fails
Aging reports were designed for accounting compliance, not collections strategy. They tell you what needs attention according to write-off timelines. They don’t tell you what’s actually worth fighting for.
Aging reports show you how long a claim has been outstanding, total dollars in each aging bucket, and which claims are approaching write-off thresholds.
What they hide: payer-specific payment patterns, historical recovery rates by claim type, documentation issues blocking payment, seasonal payment cycles, whether claims are in appeal or genuinely disputed.
Consider two receivables, both 120 days old:
- One is from a payer who always pays at 90-120 days and is probably already in process.
- The other is from a payer with a 12% recovery rate after 90 days and needs immediate escalation or write-off.
The aging report treats them identically. Your team can’t optimize what they can’t see.
Collections capacity is finite. Your team has limited hours, limited emotional energy, limited patience for hold music. Every minute spent on an unrecoverable claim is a minute not spent on revenue you could actually collect.
Without visibility into recovery probability, teams default to age-based prioritization. It feels logical, satisfies leadership’s urgency, and wastes your most valuable resource.
Staff spend hours on 180-day claims with less than 5% recovery probability. Fresh claims from slow-but-reliable payers sit untouched because they’re “only” 45 days old. High-value claims with documentation issues don’t get flagged until they’re past optimal recovery windows. Teams chase claims that were already denied and never properly appealed.
The output is exhaustion with no results.
Your team works a full day and the aging report barely moves. They’re motivated. They’re good at their jobs. But they’re optimizing for the wrong variable because it’s the only variable they can see. Meanwhile, recoverable revenue is aging into unrecoverability while attention goes elsewhere.
Leadership sees missed targets and asks, “Why isn’t collections performing?” Collections sees the aging report and thinks, “We worked every claim over 90 days. What else can we do?”
Both are right. Both are stuck.
In our experience with behavioral health organizations, this pattern repeats across teams of all sizes. The constraint is single-variable decision making. The aging report creates the illusion of a prioritized worklist while actually obscuring the strategic choices that drive recovery.
The best collections optimization happens when you stop asking how old a claim is and start asking whether it’s worth fighting for.
From Volume to Velocity
Most organizations measure collections in total dollars recovered. That’s an output metric. It tells you what happened, not whether you’re improving.
Recovery velocity is the measure of how quickly receivables convert to cash, and it reveals patterns that totals hide.
A collections team that recovers $50K in a month sounds productive. But if that $50K came from 200 small claims averaging 150 days old, while $200K in fresh receivables aged into the 90+ bucket, velocity is negative. You’re collecting slower than revenue is aging.
According to research published by the (National Institutes of Health, 2024), denial rates typically range from 5-10%, and providers fail to collect 2-5% of net patient revenue due in part to inefficient revenue cycle management. Velocity tracking by payer helps identify which payers maintain consistent payment cycles and which show declining performance patterns.
This intelligence changes behavior.
Instead of treating all 90-day receivables the same, you deprioritize payers who reliably pay at 90-120 days. They’re already coming. You escalate payers whose velocity is declining because the relationship needs intervention. You write off payers with less than 10% recovery rates past 60 days and stop wasting effort. You focus resources on high-probability claims within optimal windows.
Same staff capacity. Radically different returns.
The question shifts from “How old is this claim?” to “Is this claim worth fighting for, and if so, what’s the optimal intervention?” That shift transforms collections from reactive to strategic.
Building Intelligence into Collections
Collections performance depends on working the right receivables at the right time with the right strategy.
Aging reports can’t give you that. They were never designed for it.
The organizations that recover the most revenue don’t just chase old claims. They know which payers pay, which claims are recoverable, and where staff effort generates returns. They track velocity, not just volume. They allocate resources strategically, not urgently.
Your information is failing your team.
What would change if your collections team could see recovery probability instead of just aging buckets?
Xpio Health helps behavioral health organizations turn collections data into collections strategy. Let’s talk about what’s hiding in your aging report.
#BehavioralHealth #RevenueManagement #HealthcareFinance #PeopleFirst #XpioHealth
References
Chandawarkar, R., Nadkarni, P., Barmash, E., Thomas, S., Capek, A., Casey, K., & Carradero, F. Revenue Cycle Management: The Art and the Science. Plastic and Reconstructive Surgery Global Open. 2024. https://pmc.ncbi.nlm.nih.gov/articles/PMC11219169/