Watch the charge-to-claim lifecycle, end to end.
The control tower. Every visit tracked from attended encounter to dropped claim — the lags and bottlenecks before they age, the charges Capsa captures that would have slipped, and the rules that keep claims clean.
The gap between the visit and the bill is invisible.
Between a signed note and a dropped claim, work stalls in places no one can see — until it shows up as aged AR or a denial.
Where are charges stalling?
Which visits are aging, which providers never answer queries, which coders are the bottleneck — spreadsheets and gut feel don't scale.
What did we miss — or over-bill?
The charges the documentation earned that never made the claim, and the codes that would clean it up before it's sent — invisible without a check on the whole path.
The whole pipeline, on one screen.
Visits processed, charge lag, reconciliation, query rate, and aging — for any window — plus throughput per day so you see volume and dips immediately. Drill into any encounter from here.
The charges that would have slipped — quantified.
Capsa's defensible code set next to what was billed: where they agree, where Capsa caught more (potential captured revenue), and where the claim had codes to review.
Clean the claim before it's billed — deterministically.
Deterministic claim-scrub rules grouped by payer: draft, preview the impact on your billed corpus, then activate. The same rule runs the same way every time — and Capsa can draft them for you from a payer bulletin.
See what Capsa covers — and run the operation.
Explore the coding guidelines in use and where coverage is expanding; manage people, licensing, access, and the audit trail.
Built for the audit.
Deterministic scrub
Scrub rules are explicit data, not a model guess. The AI only authors a draft from a payer bulletin; at run time the engine is deterministic and reproducible.
Every state on the record
Each visit moves through a known set of states, every transition stamped — so reconciliation is by construction, not a monthly reconciliation project.
A code set, not a claim
Capsa produces a payer-ready code set; your PM system stays the system of record that drops the claim. No rip-and-replace, no lock-in.
the charges Capsa adds that the claim missed — counted on your own visits.
“See the lag, the leakage, and the denial risk — before they cost you.”
Honest by design: capture figures are counts of code differences and opportunities to review — not guaranteed dollars. You confirm the value on your own visits.
Pipeline oversees. Two more apps do the rest.
The same Capsa engine powers the coder's cockpit and the studio where the coding itself is built and proven.
See your charge-to-claim lifecycle.
Tell us about your revenue-cycle operation and we'll show you the pipeline on your own visits — the lags, the leakage, and the capture.
- Throughput, charge lag & aging, live
- Captured charges quantified vs the coder
- Deterministic payer scrub rules
- No PM-system or vendor lock-in
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