AI medical record analysis you can cross-examine.
"Question the whole record in plain English; every answer cited."
AI medical record Q&A lets you ask the 10,000-page file directly — prior injuries, treatment gaps, causation support — and get answers linked to the exact page or DICOM slice they came from. Conflicting statements are flagged with both citations, and question threads persist with the case.
Yes, a 2019 lumbar strain appears in the intake form p.412 and is referenced in a 2021 PCP note p.1,388. The ER intake denies prior back pain conflict · p.214.
From question to verified answer.
Pipeline“Any prior injuries before the DOI?” — no query syntax.
10,000+ pages and the imaging, searched at once.
Every claim linked to its page or slice. Conflicts flagged.
Open the source, confirm, drop it in the file.
Interrogation, not search.
"Any prior injuries before the DOI?": asked of the whole record at once, not one document at a time.
Answers link to their source page or DICOM slice. Verify in one click before it goes in the file. Zero uncited claims, by design.
When the ER intake denies what the PCP note records, the contradiction is flagged, with both citations, side by side.
Track lab values, work status, or medication changes across any date range — charted from the record, cited per point.
Every interrogation is saved to the case and shareable with the team — the associate's question is the partner's head start.
Interrogating the record is part of the workspace, not a metered add-on. Ask until you're satisfied.
The Q&A spec sheet.
Ask™10,000+ pages plus imaging, queried in one question.
Page or DICOM slice: verify in one click before it goes in the file.
Contradictory statements surface with a citation on each side.
Labs, work status, medications — plotted across any date range.
Saved across sessions, shareable across the team.
Part of the workspace — not a token meter.
The questions each team asks.
Same record, different interrogation: the Q&A adapts to the lens.
"What supports causation?" — depo prep with page cites attached.
For law firms"Any prior injuries?" — answered before opposing counsel asks it.
For PI firmsScreen a case for merit in an afternoon, with citations to hand off.
For LNCs"Treatment consistent with the mechanism?" — asked per claim, cited per answer.
For insuranceAI medical record Q&A, answered.
3 ways. Scale: consumer chat tools reject files anywhere near full case size; it queries the entire indexed record: 10,000+ pages plus DICOM imaging. Defensibility: every answer carries citations to the exact page or slice, and conflicts are flagged with both sources. Privacy: files are processed under a signed BAA with HIPAA controls and are never used to train a model.
The ones that decide cases: "Any prior injuries before the date of loss?" "Where are the treatment gaps?" "What supports (or undercuts) causation?" "How did work status change after the surgery?" Plus factual retrieval: medications, providers, diagnoses, ICD codes, specific visit details.
Because uncited answers aren’t allowed. Every claim links to its source page or DICOM slice, an evaluation framework scores each output, and low-confidence responses are flagged rather than delivered as fact. You verify with one click, not a re-read.
Yes. It can plot values across date ranges: hemoglobin across a hospitalization, work restrictions across a claim, medication changes across a course of treatment — with each data point cited to the record it came from.
No. Your data is processed under a signed BAA, encrypted in transit and at rest, access-controlled at the case level with PHI access logging, and never used to train any model.
No. Q&A is part of the case workspace, not a metered add-on. Teams that price per question train their reviewers to stop asking, which defeats the point of having the record answer at all.
Ask your file the hard question.
Bring the question you'd normally spend a day answering. Handled under our BAA; never used to train a model.