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Healthcare · Clinical documentation

Clinical documentation without the evening admin shift

A multi-site clinic group was losing evenings to note-writing. Ambient documentation now drafts the note during the visit, so review — not writing — is what's left at the end of the day.

Clinical documentation automation, illustrated
-16min
Documentation time per patient encounter
-30%
Time spent writing and reviewing notes per appointment
+0.5
Additional patient visits per clinician per week
-20%
Reported clinician burnout signals after 90 days

The problem

Clinicians were finishing a full day of patient visits and then starting a second, unpaid shift: writing up the notes those visits generated. That backlog didn't just cost hours — it was one of the clearest drivers of burnout the clinic group's own staff surveys kept surfacing, and it was pushing experienced clinicians toward part-time schedules or leaving outpatient care altogether.

What we configured

Four capabilities on the same platform foundation, no bespoke build:

1
Ambient capture
Speech-to-text runs during the consultation, with no dictation workflow to interrupt the visit.
2
Structuring
History, findings, and plan get mapped to the right fields in the existing EHR, not a parallel system.
3
Coding support
ICD-10 and CPT codes get proposed with the supporting evidence line, for the clinician to confirm.
4
Sign-off
Nothing enters the record without clinician review — the draft is a starting point, not a final note.

Where humans stayed

The Aktion Agent drafts. It does not sign. Every note the system produces sits in a review queue until the clinician who saw the patient reads it, corrects it, and signs it — the same standard of accountability as a note they typed themselves, just without the typing.

[Client quote pending approval]

— [name, title]

What came next

The clinic group is now piloting the same ambient-capture foundation for prior-authorization drafting, using the structured visit data the documentation flow already produces rather than re-collecting it from scratch.

Sources

One real-world use case of AI in healthcare, based on:

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