Claims review, read before it's submitted
MedReview ingests the full claim packet — clinical notes, prior authorization, billing codes — and flags exactly what a payer would deny, before you submit. Every finding traced to the page it came from.
● No cost. No commitment. Your own case data.
Risk signals
Cited in the source
CPT 627041The problem
A denial doesn't happen because the care was wrong. It happens because nobody had time to read the entire packet — clinical notes, prior authorization, billing codes — closely enough to catch what a payer's reviewer would catch.
Providers
Every late-discovered denial widens the cash-flow gap — and the cost of reworking a claim keeps climbing faster than the cost of care itself.
Billing & RCM teams
Staff time gets burned re-reading full packets one claim at a time, instead of scaling with volume — the actual ceiling on how many claims one coder can clear.
Patients
Only three-tenths of one percent of denials ever get appealed. Most legitimate care simply goes unpaid, and no one gets a clear answer why.
How it works
Drop in the full case packet — claim, clinical notes, prior auth, EOB. MedReview reads it as one case, not documents in isolation.
Every code is checked against real reference data — ICD-10, CPT/HCPCS, CARC/RARC — before any AI reasoning runs.
Missing authorization, upcoding risk, duplicate claims — flagged in plain language, with a confidence score, not a red X.
Every finding links back to the exact page it came from. Ask it anything about the case and get a cited answer.
See it in action
The same walkthrough we give prospects live — risk signals, cited billing codes, and the audit trail, on a real case.
Product walkthrough — coming soon
Inside the cockpit
Three moments from the actual reviewer workspace — the same three we walk prospects through live.
Five checks run on every case. Each one expands into why it fired.
Billing codes grouped by system, each one linking to its source page.
Every pipeline step, timestamped — the answer when someone asks “how did you get here?”
Why not just —
| Document automation tools | MedReview | |
|---|---|---|
| Depth | Moves data between fields | Clinical NLP + code validation against a real reference database |
| Coverage | Built for one side of the claim | Reviewer and provider workflows, on the same case data |
| Answers | Free-floating generated text | Every answer cited to the exact source page |
| Architecture | LLM-only reasoning | Deterministic rules first; AI layered on top to explain |
We don't just automate the paperwork — we catch the clinical and coding reasons claims get denied, before they're submitted, and we prove it with citations.
Trust
Coding and compliance checks run first against real reference data — CPT, ICD-10, CARC and RARC. AI is layered on top only to reason and explain, not to invent facts. That ordering is deliberate: it's what makes every recommendation traceable back to something you can verify yourself.
Pricing
Per-claim
$2–8 / claim
Flat fee per case processed. Easiest to understand and approve for small clinics and low-volume practices.
Seat-based
$150–400 / seat / mo
Per-reviewer monthly license. Best fit for mid-size RCM and billing companies with dedicated coding staff.
Outcome-based
8–15% of value
A share of denial value prevented or recovered. For larger accounts once pilot data is in hand.
Every account starts on a free pilot — 50 to 100 of your own cases, no cost — before you pick a tier.
Right now
MedReview is working with early design partners to validate real denial-rate and turnaround-time impact before we publish a single case study. If you want to be one of the next few, here's exactly what that looks like.
or call +91 70420 79171
Free. No commitment. See exactly what it catches.
+91 70420 79171