The gap in the file, found before opposing counsel finds it.
Missing medical records identification cross-references the treatment history against what was actually produced and flags the visits, providers, and date ranges that should exist but don't. Each flag is cited to the evidence that implies it, so the gap in the file is found — and documented — before opposing counsel finds it.
The history says what should be there.
Every produced page contributes to a reconstructed treatment history: who treated, when, and what was ordered next. That history is then cross-referenced against the actual production. A referral with no consult note, a billing line with no visit, a follow-up ordered but never appearing — each becomes a candidate gap.
From flag to request-ready gap table.
Confirmed gaps export as a table the requesting team can work straight down: provider, expected date range, the evidence behind the gap, and its citation. It feeds gap letters and follow-up requests directly — and when Evidence Request Automation ships, it will feed that queue too.
"The file is complete" — as a documented finding.
Completeness is worth as much as any gap. When the cross-reference comes back clean, that's a citable statement for the report: the treatment history was checked against production and no unexplained gaps remained. Far stronger than "nothing jumped out."
Flagged and cited — never guessed.
A missing-record claim you can't support is a liability of its own. Every gap flag traces to the page that implies it, so the assertion "records were not produced" arrives audit-grade and legally defensible — with the evidence attached, and the final judgment yours.
See Verifiable AI CitationsFrom produced file to gap analysis.
Three steps, run on every file — and re-run when new records arrive.
The produced file is read in full — notes, billing, referrals, and orders included.
The reconstructed treatment history is cross-referenced against what was actually produced; mismatches become cited flags.
Confirm or dismiss each flag, then export the request-ready table or the completeness finding.
Who hunts the gaps.
The two teams for whom an incomplete file is a professional risk.
Missing records identification, answered.
The platform builds the treatment history from what's in the file — referrals, provider mentions, billing lines, medication refills, scheduled follow-ups — and cross-references it against the documents actually produced. Anything the history implies but the file doesn't contain is flagged as a candidate gap, with the evidence cited.
A referral to a specialist with no note from that specialist. A billing line with no matching clinical note. A follow-up ordered but never appearing. A medication refill implying visits in an undocumented window. Each flag names the page that implies the missing record, so you can judge it yourself.
An exportable table of every suspected gap: provider, expected date range, the evidence it rests on, and its page citation. It's formatted so the person sending record requests can work straight down the list — and it feeds gap letters and follow-up requests without retyping.
It can document completeness as a finding: the treatment history was cross-referenced against production and no unexplained gaps remained. That's a defensible, citable statement for a report or an audit — stronger than "we didn't notice anything missing."
No — it identifies what's missing and prepares the gap table; sending requests stays with your team. Request tracking with tiered escalation is coming separately as Evidence Request Automation, which is on the roadmap.
Related capabilities
When the requested records arrive, they land pre-deduplicated and flagged where they matter.
ExploreTracking and tiered escalation for the requests your gap table generates.
ExploreThe timeline where treatment gaps first become visible, event by cited event.
ExploreFind out what your file is missing.
Upload a single file and get the gap analysis back — every flag cited to the page that implies it. Handled under our BAA; never used to train a model.