PayerLenz AR Dashboard
Month-end shouldn't begin with rebuilding the claims picture.
The PayerLenz AR Dashboard shows open and closed claims, billed versus allowed versus paid amounts, trailing performance, and projected payment timing based on your own claims history.

“Teams using PayerLenz stop reconciling AR from memory.”
Separate work still in AR from claims that have reached a closed status. See the underlying dollars, not just a claim count.
Compare the three amounts directly:
The gap between each stage tells a different story. Keeping the stages separate helps the team look in the right place.
Monitor allowed and paid performance at a glance. A shift can point to a payer, reimbursement, or collections issue that deserves claim-level review.
Estimate when open claims may pay based on your organization's own payment history — payer by payer, using the speed-to-pay patterns observed in your actual remittances. Where your own history is thin on a payer, the projection falls back to de-identified patterns from the broader pool, and tells you which basis it used.
Put the current month in context. Review whether movement is a one-month variance or part of a longer pattern.
| What you see | What to investigate |
|---|---|
| Billed amounts are steady; allowed percentage falls | Payer pricing, coding, level-of-care, or methodology changes |
| Allowed amounts hold; paid percentage falls | Patient responsibility, offsets, underpayments, or unresolved claim activity |
| Open claims rise while volume is stable | Submission, adjudication, follow-up, or payer-cycle delays |
| Projected payments move into later months | Changes in your observed payment timing by payer |
| One month drops but trailing performance holds | Timing variance rather than an established trend |
The dashboard points the team to the question. It doesn't replace claim-level follow-up or accounting reconciliation.
Projected timing is built from your claims history. That matters because two facilities can treat similar patients and still have different payer mixes, submission patterns, and adjudication timelines.
PayerLenz uses your observed data to make the dashboard relevant to your operation. Benchmark pool data remains separate from patient-identifiable claim views and supports aggregate reimbursement analysis.
PayerLenz connects rate expectations at admission with actual claim performance later:
That gives admissions and billing a common record: what was known, what was expected, and what the claim ultimately did.
Open the claims picture while there's still time to act on it.