Voice-to-EMR
Voice-to-EMR (also called V2N) is the workflow that turns a spoken clinical encounter into structured documentation written back into the electronic medical record (EMR). It pairs medical automatic speech recognition with structuring into a SOAP note and coding-ready context, with a clinician reviewing before anything is filed.
The workflow runs in five steps: the consultation is captured in the languages actually spoken in the room; medical automatic speech recognition (ASR) transcribes it; the transcript is structured into a draft SOAP note (Subjective, Objective, Assessment, Plan) with coding-ready context; the clinician reviews, edits, and approves the draft; and only the approved content is written back into the EMR. The clinician's review is not an add-on — it is the step that makes the workflow safe to run, which is why Voice-to-EMR is a working example of governed healthcare AI.
Voice-to-EMR is Micromeet's clinical-documentation product line, delivered as AI Scribe (Voice-to-EMR). The practical integration path is to work on top of the EMR or hospital information system already in place — writing back only clinician-approved content — so it replaces a step in the workflow instead of adding one. AI writes. Doctors decide.
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