Clinical documentation
Notes written from the visit, not typed after it

Clinicians still spend hours after each visit typing notes and discharge summaries, time that comes out of seeing the next patient. Coding and chart review add another read of the same record.

AI drafts from the visit itself. Generative AI turns a conversation or a clinician's dictation into a note or discharge summary, ready for review. Agents assemble the coding support and chart abstraction that used to mean a second full read of the record. Predictive models flag what a note is missing before it's signed off. Clinicians spend more of their day with patients and less of it typing, running in your own environment.

3 use cases

Cytopathology AIMachine learning ranks cytology samples for review order from their measurements or images, and generative AI pulls cited findings out of free-text pathology reports for your lab to check.Medical coding and risk adjustment reviewMedical coding and risk adjustment review uses AI to check clinical documentation against coding rules and payer policy, then proposes codes with the rule cited for a certified coder to sign.

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Clinical documentationNotes written from the visit, not typed after it

One platform. Complete sovereignty. Measurable results.

Clinical documentation
Notes written from the visit, not typed after it