The record tells a story.
We test whether it holds up.
ChartRecon measures medical records, bills, and future-care projections against published clinical standards, CMS data, and coding authorities — and anchors every finding to an authoritative source anyone can verify.
| Line item | Billed | Benchmark | Disposition |
|---|---|---|---|
| Supported | |||
| Partially supported | |||
| Unsupported |
Illustrative interface only — no case data is shown. Worked examples are demonstrated live, on your own closed files, under NDA.
From file to finding. Four clinical axes. One clear review.
ChartRecon applies criteria drawn from published clinical standards, CMS data, and coding authorities to the record — with every finding anchored to the underlying page, so your team can verify it without trusting anyone.
Was the treatment indicated?
Measure the clinical presentation against published guidelines for the diagnosis in question.
Is the care related?
Measure the claimed care against the record and published criteria for relatedness — and surface where the record points elsewhere.
What is reasonably supported?
Compare billed or projected care against CMS data and applicable benchmarks. The number carries the force.
Does the file hold together?
Measure each bill, note, and projection against the rest of the record — and surface where the file's own documents diverge.
— and the experts they retain.
Four steps. Every finding cited.
Records intake
Medical records, billing, and any existing life care plan or demand are provided through the secure portal.
Analysis
The record is measured across the four axes against published guidelines, CMS data, and coding authorities.
Verification
Every finding passes verification gates before delivery, with each one cited to specific pages in the file.
Delivery
You receive a citation-anchored deliverable designed for use by the defense team and its experts.
Accuracy you can verify, line by line.
Anchored to published standards
The criteria are drawn from published clinical standards, CMS data, and coding authorities — sources anyone can pull off the shelf and check.
Every finding verifiable
Every finding cites the record page and the published source it was measured against. No finding asks for trust; each one hands you the source.
Your professionals decide
ChartRecon measures; it never decides. Adjusters, counsel, and retained experts review the analysis and make every decision on the claim.
Built for files that can't leak.
Founded where medicine meets the courtroom.
ChartRecon pairs two decades of clinical and medico-legal practice with sixteen years of production AI engineering. A physician who has defended future-care analysis under oath, and a technologist who builds systems that have to be right the first time.
Daniel Frederick, MD, co-founded ChartRecon after twenty years practicing pain management — a practice in which many patients were in active litigation. Two decades of depositions, trial testimony, and future-care analysis taught one durable lesson: the analysis that survives scrutiny is the one anchored to the record and to published standards. ChartRecon was built to deliver exactly that — cited, verifiable analysis for the defense team that has to stand behind it.
Daniel Frederick, MD — Co-founder & CEO
David Segala, Ph.D., leads ChartRecon's technology. An applied mathematician by training, he has spent sixteen years building production AI systems, and he designed ChartRecon's analysis and verification architecture so that every finding is traceable to a page in the record and a published source. His focus is making the platform's output accurate, auditable, and secure enough to stand up in a contested claim.
David Segala, Ph.D. — Co-founder & CTO
ChartRecon LLC · Austin, Texas
Turn the record into defensible analysis.
Access the ChartRecon portal to begin a secure case review.
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