The source exists. Is the amount reasonable?
Medical bill review software compares every billed line to UCR and geographic benchmark data, flagging outliers with percentile context rather than a bare “too high.” The ledger proves a charge has a source; this proves whether the number belongs. Flags inform negotiation — they never auto-reduce, reprice, or determine payment. The pricing decision stays human.
Benchmarked against the right market, not a national average.
UCR benchmark bill review only means something if the benchmark fits: the same procedure carries different typical pricing in different markets. Every billed line is matched to usual, customary, and reasonable data for its procedure and its billing geography, and the comparison shows which benchmark it was drawn from.
Percentile context, not a bare “too high.”
A billed charge reasonableness analysis that just says “high” doesn’t survive the first phone call. Every flag here shows where the charge falls against the benchmark distribution for that procedure in that area, so your reviewer can say how far outside the typical range it sits — the part that actually carries weight in a negotiation.
Two citations on every flag.
Medical bill audit AI is only as good as its receipts, so each flag carries a dual citation: the source page in the file where the charge appears, and the benchmark it was compared against. One click verifies the charge is real; the second shows the basis for calling it an outlier. It pairs naturally with the Claims Billing Ledger — the ledger proves the source, this weighs the amount.
A signal for the negotiation — never a repricing.
The output of this review is evidence: a cited, percentile-ranked picture of which charges sit outside their market. What gets paid, disputed, or negotiated is your call, made by your adjuster, attorney, or bill reviewer. Audit-grade and source-linked on every flag — that is what makes the position defensible when it’s challenged.
See Claims Billing LedgerFrom billed lines to a benchmarked review.
Three steps between the packet and outliers your reviewer can act on.
Bills, statements, and EOBs — mixed in with the treatment records is fine.
Each charge matched to UCR data for its procedure and geography; outliers flagged with percentile context.
Your reviewer clicks through the dual citations and decides what each outlier means for the negotiation.
Who benchmarks bills with it.
Anyone who has to answer the same question: the charge is real, but is the number right?
Demand specials weighed against market data before the reserve is set or the offer goes out.
For carriersA consistent reasonableness screen across clients, with the basis documented on every flag.
For TPAsKnow which of your specials will draw fire, and which of theirs deserve it — before the table.
For law firmsBill review, answered.
Billed charges are compared against usual, customary, and reasonable (UCR) benchmark datasets and fee-schedule references, matched to the procedure and the billing geography. Every flag names the benchmark it was compared to, so the basis is inspectable rather than a black box.
Benchmarks are matched to the geographic area where the service was billed, not a flat national average. The same procedure has different typical pricing in different markets, and the comparison respects that: each line shows the locale its benchmark was drawn from.
No. The output is a reasonableness signal with percentile context and citations — a flag for your negotiator or bill reviewer to weigh. It never reprices a line, recommends a payment amount, or issues a payment determination. The pricing decision stays human.
Every flagged charge shows where it falls against the benchmark distribution for that procedure in that area, instead of a bare high or low label. Your reviewer sees how far outside the typical range a charge sits, which is what actually carries weight in a negotiation.
Each flag carries two citations: the source page in the file where the charge appears, and the benchmark it was compared against. One click verifies the charge is real; the second shows the basis for calling it an outlier. Both sides of the comparison stay inspectable.
Related capabilities.
The billing side of the same cited file — source-proof, roll-ups, and demand checks.
Every billed amount traced to its source page — including the ones without one.
ExploreA one-page rolled-up billing summary grouped by provider, date, or category.
ExploreEvery claim and billed figure in a demand, checked against the record.
ExploreInconsistencies across the file surfaced with citations — signals, not verdicts.
ExploreBenchmark one of your own files.
Upload a file and get back a sample review — every line benchmarked, outliers flagged with percentile context. Handled under our BAA; never used to train a model.