Medrecords AI

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: 50,000-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, encryption in transit and at rest, and PHI access logging on every event.

Consumer ChatGPT isn’t a protected environment, and general AI tools aren’t built for medical-record work: no citation back to the source page, no HIPAA-compliant access controls or BAA, and no handling for 10,000-page charts or native DICOM imaging. Medrecords AI is an access-controlled, HIPAA-compliant platform purpose-built for exactly that, with case-level permissions and full audit logging.