Find the fact that decides the case — in minutes, not weeks.
Medrecords AI reads the whole file — 10,000+ pages of PDFs, scans, handwriting, and native DICOM imaging — then hands you a cited chronology, summary, and reasoning you can defend in deposition, with every line traced to its exact source page. Built for legal, insurance, and IME teams.
The risk isn't slow review.
It's the fact you missed.
Every file hides the one fact that decides it — and manual, page-by-page review is exactly where that fact goes missing, buried in 10,000 unsorted pages under a deadline. It happens the same way every week, in 4 steps:
Unsorted, duplicated, part handwritten — part on a disc nobody opens.
Reviewers skim, sections go untouched, and the disc stays in the envelope.
Buried mid-record — invisible until the other side cites it first.
Outsourced review comes back in weeks — no citations, no imaging. We charge a flat 10¢.
Cycle time slips — and treatment-gap leakage pays out before anyone catches it.
The claims laneThe demand stalls on sorting — while the ambush fact waits at deposition.
The PI laneMedrecords AI reads all of it — every page and every image — and shows you what matters, with the receipts.
Unstructured records in. Structured, cited reports out.
1 engine reads every page and every image — PDFs, scans, handwriting, and native DICOM imaging — rebuilds the case as a chronology, and locks each line in the output to the exact source page it came from, so what leaves this system is structured, cited, and ready to sign.
From any record to
a defensible answer.
1 product story, told once: upload any format — PDFs, scans, handwriting, or DICOM imaging — and it reads everything, the chronology builds itself from what's found, and the report comes out cited and deposition-ready, without a separate review pass.
Any format in. Nothing skipped, nothing guessed.
Multi-page PDFs, scanned records, handwritten notes, full DICOM studies. Each page routes to the right OCR engine, duplicates are removed, co-mingled claimants are separated — and anything low-confidence is flagged for review, not guessed.
We read the imaging — not just the report.
Multi-page PDFs. Scanned records. Handwritten notes. And full DICOM imaging studies with 3D reconstruction. One platform reads them all and reasons across them — a capability most tools in the category simply don't have.
Each page goes to the right engine — anything low-confidence is flagged for review, not guessed.
A multi-model handwriting pipeline reads what other tools skip.
Ingest imaging studies, view them in an integrated PACS viewer, and place imaging events on the timeline.
A medical timeline that builds itself.
Clinical events extract automatically into a color-coded, searchable chronology — every node synced to the source page or image it came from. Scan a 10,000-page history at a glance.
From record to attested report.
A rich-text studio with inline citations and tracked changes. Load your own template and letterhead, attest, export to PDF or DOCX — or push straight to your CRM.
Ms. Ochoa presented to St. Mary's ED on 03/14/2025 with acute low-back pain following a rear-end collisionp.412. MRI of 03/22/2025 demonstrates a moderate 4.2 mm L4–L5 posterolateral herniationMRI·s3·sl18. No prior injury to the region is documentedp.06. The 6-week gap in careflag is addressed in §4.
If we can't cite it, we don't say it.
Every sentence Medrecords AI writes is locked to its source. Click any citation to jump to the exact page — or the exact DICOM slice — it came from. No black box. An AI evaluation framework scores every output, and low-confidence findings are flagged, not hidden.
"AI does the reading. You make the calls — always."
How verifiable citations workClaimant reports onset of low-back pain on 03/14/2025, with an MRI confirming an L4–L5 disc herniation. No prior injury to the region is documented. A 6-week treatment gap appears between visits.
"Patient presents following MVA with acute onset of low-back pain radiating to the left lower extremity. Onset dated to 03/14/2025."
Every fact span-matched to its source page — mechanical, exhaustive, on every extraction.
A second, independent model checks every finding against the source text — models cross-examining models.
Accuracy is the vanity metric. False-pass rate is the one that matters. Releases are gated on it — in claims and litigation, one uncaught error costs more than a thousand caught ones. No per-page review fees, no sampled QA; your experts still make the calls.
The whole platform. No add-ons.
Every subscription is the full system, not a starter tier — OCR, imaging, chronology, citations, claims triage, and reporting all included at one flat per-page rate, with nothing gated behind a separate upsell or add-on module. The complete index, grouped by what each capability is built for:
Showing 25 of 25 capabilities — every one included in every subscription
Any format in — PDFs, scans, and faxes — or import straight from iManage.
Context-aware extraction of handwritten notes, intake forms, and margin annotations — structured, cited, searchable.
Complex medical tables — labs, med lists, billing grids — read by vision AI, not just OCR.
Duplicate entries across merged provider files, removed in 1 click.
Pages from the wrong patient are a privacy incident waiting to happen — detected and quarantined before analysis begins.
DICOM-native ingestion, an integrated PACS viewer, and 3D reconstruction.
Clinical events extract into a color-coded timeline, synced to the source.
Supplemental records arrive already deduplicated, summarized on their own, and flagged where they agree, conflict, or add to the existing file.
Rich-text studio with inline citations, tracked changes, and your letterhead.
Ask the record anything — one file or 1,000 at once. Multi-step investigative answers, every statement cited to page and source.
Plain-English semantic search over the whole file — every hit linked to its page.
Every diagnosis, medication, procedure, and provider — categorized, source-linked lists when the timeline isn’t the question.
Evidence-Based, Interpretive, and Extractive — every line cited.
An AI evaluation framework scores every output; citations traced end to end.
A color-coded, page-by-page digest plus narrative summary — editable, cited.
Success and value ranges from comparable resolved cases — evidence-derived, work-product separated.
Send any imaging study via secure link — no discs, no software on the recipient’s end.
Bulk-process portfolios against your criteria. Only claims needing human judgment reach a human — the rest documented, cited, closed.
Every billed amount traces to a source page — click any dollar figure and land on the document that justifies or contradicts it.
Billing roll-ups and future-care cost tables — ready for life-care plans and specials.
REST API, CRM token exchange, webhooks — with per-case usage metering for bill-back.
Jurisdiction- and line-specific templates. Edit in-platform, export to DOCX/PDF, deliver via API or SFTP.
Outstanding records don’t chase themselves — request tracking with tiered follow-up escalation and a full request audit trail.
Word and HTML exports with live hyperlinks back to every source page.
Source, timeline, and report on 1 screen — a 3-pane workspace.
1 platform, 3 lanes.
The attorney, the adjuster, and the examining physician read the same 10,000-page file for opposite reasons — the fact that wins a case, the charge that reveals leakage, the finding that supports an opinion. Pick your lane below to see what Medrecords AI pulls from that same file for your work.
Build a stronger case, faster — every fact cited.
For the adjuster with 14 files in the queue (Insurance & Claims)
Cut review time and leakage — with an audit trail.
- Reach determinations on the full record: a cited summary and chronology per claim, in minutes.
- Catch leakage before it pays out — treatment gaps, duplicate billing, and unsupported charges, flagged with sources.
- Defensible for the file: every finding traceable to its page, every PHI access logged.
Minutes to a cited claim summary — leakage flagged with sources, not after it pays out.
For the examiner who signs the opinion (IME / Medical-Legal)
Triple your throughput — without risking your opinion.
- Ground your opinion in the evidence itself: DICOM studies, PACS viewer, and 3D — not just the radiologist's report.
- Causation and apportionment support, surfaced and sourced — the conclusions stay yours.
- Reports on your letterhead, in your voice — templates load from case context and export clean.
3× files per week with the same staff — and an opinion that holds up under cross.
Everything the other options can't give you.
Faster than a team of reviewers, at a flat 10¢ a page against 20–75¢ for outsourced review, running multiple models where every other AI tool bets on one. Deploy it in our HIPAA-eligible cloud, inside your own cloud account, or fully on-prem — the same platform, wherever your data has to live.
built for PHI
A note on generic AI and PHI. Consumer ChatGPT, Claude, and Gemini are not HIPAA-eligible without a signed Business Associate Agreement. Uploading patient records to them can breach HIPAA and expose your practice to real liability. Medrecords AI processes every file under a signed BAA, with PHI access logging — and never trains a model on your data.
In their words.
"Ahmed was nothing less than amazing. He listened attentively to what I was requesting and was extremely easy to work with. I highly recommend if you're ever in need of medical records review or summaries."
"Quality summary. Timely delivery. Will do business with Medrecords AI again soon."
"This is exactly what I needed — I looked at the actual PDF and it checks out. Hopefully I can get this to them tomorrow and wrap things up."
"That's great — I actually didn't anticipate that you would be able to do the tables and costing."
Every doubt you have, we've heard on a call.
Each card below is a verbatim objection raised by a real lawyer, adjuster, or physician on a sales call — not a hypothetical — met head-on rather than dodged. Want more depth on any one of them? The full 30-question FAQ, filterable by topic, is right below this section.
The hard questions, answered straight.
30 questions buyers actually ask before signing, answered directly rather than with marketing language — organized across accuracy, volume, handwriting and OCR, security and HIPAA, pricing, workflow, and questions specific to your role. Filter by topic below, or browse all of them at once.
Every answer and chronology entry is locked to its source page or DICOM slice — you verify by clicking through to the original. If we can’t cite it, we don’t say it, and low-confidence findings are flagged, not hidden.
No. Every page is accounted for — read, classified, or quality-flagged — and you get a coverage report per case showing pages received, processed, and included or excluded with a reason.
You choose the mode: Extractive (facts and citations only, zero inference), Interpretive (a clinical synthesis), or Evidence-Based (each statement citation-backed, source shown).
No wall. It’s built for real charts — 10,000+ page records with pagination and lazy loading, plus full DICOM studies. Generic chat tools reject files that size; this doesn’t.
Typically minutes to hours end-to-end, even for a very large file — versus days or weeks for a manual reviewer.
Yes. Handwritten and low-quality pages escalate through a multi-model pipeline, and anything uncertain is quality-flagged for your review rather than silently guessed.
You correct it and regenerate — the change cascades to the timeline and report. The expert is always the source of truth.
Clinical notes, operative and radiology reports, labs, pharmacy, billing and EOBs, legal documents, and native DICOM imaging — with per-page quality flags where legibility is poor.
No training, ever. Your records stay in your control under HIPAA controls, SOC 2 audit-ready documentation, encryption in transit and at rest, and PHI access logging on every event.
Consumer ChatGPT isn’t a protected environment. This is an access-controlled, HIPAA-grade platform with case-level permissions and full audit logging — a different security posture entirely.
Transparency is the answer: every statement traces to a source page or slice, you remain the author and attester, and Extractive mode keeps output free of interpretation when you want zero inference.
No. Records are processed within our platform, and a de-identified export is available when you need to share without exposing PHI.
Transparent per-page credits — no per-seat lock-in, and credits don’t expire. Run your own numbers in the ROI calculator above.
No. Pricing is usage-based and predictable, with credit packages you control — no open-ended monthly charges.
No per-question fee — interrogating the record is part of the workspace, not a metered add-on.
Yes — correct a finding or date and regenerate; the change cascades through the chronology and report, and version history is preserved.
Yes — custom templates that load from case context, your logo and signature attestation, and export to PDF and DOCX with a clean citation-free option.
Yes — interrogate the whole chart, chart values across date ranges, and get cost math, each answer cited. Threads persist across sessions.
Connect links Medrecords AI to your case-management and claims tools through a secure REST API and CRM token exchange — no shared credentials — with outbound webhooks.
Yes — a color-coded, page-by-page deposition digest plus a narrative summary, both editable and exportable to Word with live hyperlinks back to the transcript.
AI deduplication removes duplicate entries across merged files in 1 click — and duplicate billing lines are flagged, not silently merged, so leakage stays visible.
Yes — send any study via a secure link. The recipient views it in the browser: no software, no discs, and every access is logged.
Every timeline, digest, and report exports to Word or HTML with live hyperlinks back to the original source pages — trial-ready without reformatting.
Yes — billing roll-ups and future-care cost tables assemble from the record with sources attached, ready to drop into a life-care plan or specials calculation.
Yes — cited chronologies, demand support with every injury, treatment, and dollar traced to its page, and Extractive mode when you need zero inference for exhibits and cross.
Imaging, causation support, and templated attested reports are here today; the full lifecycle CRM — intake, scheduling, invoicing — is on the roadmap.
Yes — steer it toward function, rehabilitation, and future needs, with Life-Care-Plan specifics and editable, code-transparent cost tables.
Yes — audit claim samples, flag patterns like treatment gaps or tampered dates, and turn physical files into structured data. For full TPA claims workflows we pair with your coding and rules.
Yes — your logo, editable pricing, and case-scoped document organization; reliability and full-page accounting make it demo-able to attorneys.
Yes — understand your own records privately at per-page pricing, without hiring anyone. HIPAA-grade, never consumer ChatGPT.
Faster than a team. A flat 10¢ a page.
Simple, usage-based pricing: a flat 10¢ per page, no per-seat licenses, and credits that don't expire whether you use them this month or next quarter. Move the sliders below with your own monthly page volume and outsourced cost per page, and see the exact annual savings versus manual or outsourced review.
vs 20–75¢ outsourced
Assumes a flat 10¢/page on Medrecords and ~90% less review time. Rough estimate — actuals depend on your file mix and volume.
Send 1 of your own files. Read the output. Then decide.
Pick a slot for a 30-minute demo on a file that looks like your own work, or skip the call and send a de-identified file first — up to 500 pages, a cited sample back within 2 business days, no commitment attached to either path.
A cited sample, from your own case.
Send one de-identified file — up to 500 pages — and read the cited output back within 2 business days. Judge the work, not the pitch.
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