A/R health at a glance
Total receivable, days in A/R, the share over ninety days and net collection rate — with what each one counts written on the card instead of buried in a data dictionary.
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Revenue Intelligence
Numbers that reconcile — across every screen.
A/R health, denial patterns, payer behaviour, aging and cash trend, all drawn from the same claims data your team works in. When a dashboard and a drill-down disagree, people stop trusting both — so here they agree by construction.
- Figures agree across screens
- Definitions stated on the panel
- Readable without colour
A revenue intelligence drill-down: claims flagged, dollars identified, and the per-claim detail behind the total, ready to filter, sort and export.
What it does
Aging and balance stratification
Aging by payer alongside balance bands, because the small-balance tail is where write-off decisions get made and the top band is where one claim justifies a phone call.
Denial and leakage analysis
Your denial reasons ranked and split by what was preventable, denied dollars by cause, and a clear separation between what is still recoverable and what has already gone.
Cash trend and what is coming
Collections against trend, days-to-pay moving over time, and forward views of filing exposure and claims about to cross ninety days.
How it works
- 1
One set of source data
Every report reads the same claims, remittances and denials. No screen keeps a private copy of a number that can quietly drift.
- 2
Definitions travel with the metric
Each panel states what it counts, so two people reading the same number reach the same conclusion.
- 3
You drill into the claims
Every total opens into the specific claims behind it, filterable by payer, bucket, owner and status.
- 4
Take it out
Export what you are looking at for a payer conversation, a board pack or your own model.
Metrics that are hard on themselves
It is easy to build a KPI that flatters. Drop denials out of a collection rate, treat every adjustment as a defect, report a zero win rate because nothing has resolved yet — each produces a nicer number and a worse decision.
- Net collection rate counts denied claims in the pool, so refusals cannot be quietly removed to lift the figure.
- Clean claim rate excludes contractual adjustments and patient balances — pricing a claim correctly is not a defect.
- A payer with no resolved appeals shows no overturn rate rather than zero, because “not finished yet” is not “we never win”.
- Automated analysis does not count as activity on a claim; only a payer or a person moving it does.
What each metric counts
- Net collection rate
Collected against what was collectable, over adjudicated claims.
- Clean claim rate
Claims that never carried a genuine denial.
- Overturn rate
Won against resolved appeals — pending ones are not counted as losses.
- Days in A/R
How long open receivable has been outstanding.
Cuts that map to a decision
A bucket only earns its place if a different action follows from it. A claim at ninety-five days and one at two hundred are not the same conversation, and a small balance and a large one are not the same economics — so both dimensions are cut.
- Aging is split finely enough to see a problem forming rather than lumped into a single over-ninety figure.
- Balance bands sit alongside aging, because cost to collect is roughly flat per claim regardless of size.
- Stalled claims are surfaced at a threshold that stays actionable — flagging most of the book tells a manager nothing.
- Timely-filing exposure appears while filing is still possible, not as a post-mortem.
How the book is cut
- By aging
From current through to long-overdue, per payer.
- By balance band
Where write-offs get decided, and where a call pays.
- By payer
Denial rate, overturn rate, days to pay, open receivable.
- By denial reason
Ranked by dollars, split by preventability.
- By service line
Where variance and denials concentrate.
Built to be read, not admired
Several of these charts are deliberately plain. A breakdown whose whole job is to label each step needs room for the labels; a funnel needs to show the drop-off, not leave you subtracting; a heatmap that encodes value only as colour excludes anyone reading it in greyscale.
- Heatmap cells print their value, so colour carries emphasis rather than meaning.
- The funnel shows the loss between stages, not just the stages.
- Missing months render as gaps rather than being plotted as zero.
- Percentages add to a hundred, so a legend never invites a question about the arithmetic.
Looking ahead
- Cash forecast
Near-term collections based on recent performance, and labelled as such.
- Filing exposure
Dollars on claims approaching their filing deadline.
- About to cross ninety days
Open claims one bucket away from the aging cliff.
- Collections against trend
This month in context, with the partial month marked.
- Every report, same data
One source
Every report, same data
No two screens disagree about a number
- Denominators stated on the panel
Defined
Denominators stated on the panel
You always know what is being counted
- Every total opens to its claims
Drillable
Every total opens to its claims
Filter, sort and export from there
- Readable without colour vision
Accessible
Readable without colour vision
Values are printed, not only encoded
Common questions
- Why is our clean claim rate lower here than elsewhere?
- Because a contractual adjustment and a patient deductible are not counted as defects, while genuine denials are — including ones on claims that later paid in part. Rates that exclude those look better and predict less.
- How do the reports stay consistent?
- They read the same underlying claims data rather than separate report tables, so a total on the dashboard and the same total in a drill-down come from one place by construction.
- Is there a forecast?
- Yes, and it is deliberately straightforward and labelled: collections in context of recent trend, plus forward views of filing exposure and claims about to cross ninety days. Nothing is presented as a model it is not.
- Can we get the underlying claims?
- Every total drills through to the claims behind it, with filters for payer, aging, owner and status, and export from the queue views.
Explore the rest of the platform
- Claim IntelligenceCatch the denial while the claim can still be fixed.
- AI WorklistsA ranked shortlist of what to work next, and why.
- Revenue RecoveryFind the shortfall the payer never told you about.
- AI AppealsA complete appeal letter, built from the claim itself.
- AI CopilotAsk a question in plain English, get an answer you can check.
See Revenue Intelligence run against your own claims.
We’ll walk your team through a live workspace using a sample of your data, and show exactly where the recoverable dollars are.