One claim shows a signal. The network shows the pattern.
BETAProvider network analytics software from Medrecords AI tracks documentation, treatment, and billing patterns for every provider across your processed claims, benchmarked against comparable peer cohorts by specialty, geography, and claim type — every comparison drillable back to the underlying evidence. Live in beta, refined hands-on with early carrier and TPA customers.
A pattern view, never a fraud label: ranking is withheld when the peer cohort is too small, and coverage, sample size, and comparison basis are always shown.
Every provider, one profile across the whole book.
The record often disagrees with itself across visits, but a single claim can't show a provider's pattern over time. Because every processed claim's documentation, treatment, and billing detail is already read and cited, the platform rolls it up into one profile per provider — automatically, as claims are processed.
Benchmarked against the right peer cohort, not the whole book.
A provider's numbers only mean something next to comparable providers — same specialty, similar geography, similar claim types. The cohort size and composition are always on screen, and where there isn't enough comparable data to be meaningful, the ranking is withheld instead of forced.
A pattern view, never a fraud label.
Provider Network Analytics never labels fraud automatically. It surfaces documentation, treatment, and billing patterns for a provider and benchmarks them against a comparable peer cohort — a pattern view, not an accusation about anyone's conduct.
It withholds ranking where the sample size is insufficient, always shows coverage, sample size, confidence, and comparison basis, and enforces tenant and TPA visibility rules so no carrier or client ever sees another's book of business.
See Fraud & Inconsistency Signal DetectionFrom claims already processed to a benchmarked profile.
Three steps, running on data your team has already cited.
Every processed claim's provider, specialty, and region is tagged automatically as it's read.
Documentation, treatment, and billing metrics roll up across every claim tied to that provider.
Compared to a matched peer cohort, with every data point linking back to its claim and page.
Who benchmarks providers with it.
Built for the teams that already carry a book of provider relationships.
A per-provider view benchmarked against peers, so patterns surface before they show up in a single disputed claim.
For carriersConsistent provider benchmarking across every client's book, with visibility rules that keep each client's data separate.
For TPAsProvider network analytics, answered.
Yes, in beta. It's live and testable now on your own processed claims; we're refining peer-cohort matching hands-on with early carrier and TPA customers, and if your book is a good fit we'll work with you directly.
No. It surfaces documentation, treatment, and billing patterns benchmarked against a peer cohort — never an automated fraud label. Where a pattern looks worth a closer look, it routes to your SIU or claims team as a cited signal, and a person decides what it means.
The ranking is withheld, not guessed. Every comparison shows its cohort size, coverage, and confidence level, and where there isn't enough comparable data the platform says so instead of forcing a rank.
No. Tenant and TPA visibility rules are enforced automatically, so provider data and benchmarks stay scoped to the book of business they came from.
By specialty, geography, and claim type, so the comparison is against genuinely comparable providers rather than the whole book.
Related capabilities.
Provider-level patterns connect to claim-level signals and portfolio benchmarks.
Contradictions within and across claims, cited and routed to SIU review.
ExploreA claim's reserve, next to a benchmark range built from comparable resolved claims.
ExploreBenchmark cohorts built from your own consortium of trusted peers.
ExploreSee your own provider network, benchmarked.
Join the beta and run provider network analytics on your own processed claims — cited, benchmarked, and never a verdict. Or book a quick walkthrough first.