Clinical AI

Ambient documentation across a distributed care network

AST built a clinical documentation pipeline that captures and structures encounters automatically — removing manual note-taking and freeing clinicians to focus on care.

0manual notes for captured encounters
More timereturned to patient care
Clinician reviewing AI-assisted documentation on a tablet

The challenge

Clinicians spent hours on documentation, pulling time away from patients and introducing variability into the record.

The network needed encounters captured and structured automatically, accurately enough to trust in a clinical system.

What we did

  1. 01

    Designed the capture pipeline

    An ambient pipeline that listens, transcribes and structures an encounter into a clean, reviewable note.

  2. 02

    Tuned for the clinical domain

    NLP models adapted to real clinical language, with a clinician-in-the-loop review step.

  3. 03

    Wrote back to the record

    Structured notes flow into the EMR through standards-based integration — no double entry.

The results

0manual notes for captured encounters
More timereturned to patient care

Documentation that used to be typed by hand is now captured automatically and reviewed, not authored — giving clinicians their time back.

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