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CLAIMS INTEGRITY RECORD REVIEW

The same injury story turns up in forty unrelated files. Reading one at a time, no one connects them.

Claims integrity record review means reading large volumes of clinical documentation against a published rulebook — state fraud statutes for SIU referrals, federal criteria for No Surprises Act IDR, the CMS Program Integrity Manual for audit response — often across dozens of files at once, with a binary or written referee decision on the other end.

Click any chip → the source page it cites
Case file · claims integrity review reviewed
342 pages logged, across 2 packets
11 duplicate pages — removed
Billing & treatment entries — cited
p.140 — wrong patientquarantined
Ready for the referral, IDR submission, or audit response
The status quo

SIU files can run to 15,000 pages before a pattern becomes visible, an IDR offer gets a binary answer in writing within days of submission, and the Medicare ADR clock runs forty-five days start to finish. Whatever reads the file has to read all of it, on the clock.

15,000 pp
an SIU file can run to
days
IDR determination, in writing, once filed
45 days
the ADR clock for a Medicare audit response
Claim file · rulebook-cited SIU · IDR · audit
Billing & treatment entriesindexed
Rulebook clausematched, cited
Referral / IDR / audit packetready
Every entry cited to the page, before the deadline
How it works

Three steps between intake and a file ready for the deadline.

01

Upload the claim file or files, any format

SIU claimant files, the IDR-eligible claim documentation, or the ADR request package — scans, PDFs, faxes, handwriting, however they arrive.

02

The AI surfaces and cites the rulebook-relevant evidence

Pattern matches across files for SIU screening, criteria-mapped entries for IDR, contractor-cited support for audit response — each finding linked to its source page.

03

The reviewer builds the referral, submission, or response

Verify any entry with a click, then use the cited evidence to build the SIU referral, the IDR submission, or the audit response before the clock runs out.

Organizes the record. Never decides the case.

It surfaces the evidence. The determination stays with the investigator, the IDRE, or the auditor.

Every entry it surfaces carries its citation, so when the record shows a billing pattern relevant to an SIU referral, an IDR criterion, or an audit finding, you can point to exactly where.

What it never does: it never accuses a provider of fraud, never picks the No Surprises Act offer, and never decides a Medicare audit outcome. It surfaces and cites what the record shows — the determination stays with SIU investigators, the IDR entity, and CMS contractors and the appeal bodies above them.

Indexing & dedup 1 file processed
Duplicate billing pagesduplicate ×11
Wrong-patient record, p.140quarantined
One cited claim fileready for the referral
Every entry cited — no determination made
Why Medrecords AI

The rules the platform never breaks.

Medrecords AI EVERY LINE CITED
CASE #IME-4812 · ADAMS, T.342 pp
2/14 — ER visit, right knee p.4
4/18 — arthroscopic surgery p.61
p.140 — wrong patient quarantined
Medrecords AI
Read every page · cite every line

HIPAA, under a signed BAA

Every file is handled under our Business Associate Agreement, from the first byte.

Never trains a model

Your records are never used to train any AI model — ours or anyone else's.

Every line cited

If we can't cite it, we don't say it. Every sentence links to its source page.

Deleted after delivery

Files are deleted 30 days after delivery, with a full audit log of every access.

Powered by the platform

Four capabilities behind every claims-integrity file.

Rulebook-cited review is one deliverable of the same platform that reads, sorts, and cites the whole file.

FAQ

Claims integrity record review, answered.

This lane also covers the record review behind No Surprises Act IDR support and Medicare audit response — TPE, UPIC, SMRC, RAC, and ADR. See the provider fraud case-type page →

No. Medrecords AI surfaces and cites the billing and treatment patterns across files — it never accuses a provider or makes a fraud determination. That call belongs to SIU investigators and, where warranted, the criminal referral process.

Yes. Reading many files together, to surface patterns no single file would show on its own, is exactly what SIU screening needs — and what the platform is built to do.

No. It organizes and cites the supporting record — training, experience, quality outcomes, patient acuity — against 45 CFR §149.510(c)(4)(iii)(C). The IDR entity picks the offer.

A flat 10¢ a page, duplicate pages free. A 15,000-page SIU file is priced the same way as a 50-page one: by the page, with every line cited.

No, never. It organizes and cites the record. The referral, the IDR submission, and the audit response are built and signed by the people who own that judgment.

Build one cited file with it.

AI organizes and cites the record. The determination stays with you.