Ambient AI vs. dictation: choosing the right capture for each visit type

Ambient AI and dictation are often presented as competitors. In practice, the best-documented clinics use both — each where it fits. The question isn't which one to choose, but when to use each.

When ambient AI works best

Ambient capture shines in conversational visits: new patient history, chronic disease follow-ups, medication discussions and behavioral health sessions. The richest clinical information is in the dialogue itself, and ambient AI turns it into a structured note without the clinician breaking eye contact. It also catches details a clinician may forget to dictate later — a patient mentioning they stopped a medication, or a symptom that started last week.

When dictation is the better tool

Dictation is faster for short, procedural or highly structured encounters: a quick wound check, a procedure note, an addendum, or a result review done between visits. It's also ideal after hours or when the clinician is summarizing a case they've already reasoned through. With voice commands like "new paragraph" or "insert vitals," dictation becomes a precise editing tool rather than a transcription service.

Mixing both in one day

A typical primary care day might use ambient AI for eight or nine conversational visits, dictation for two procedures, and voice edits to refine notes before signing. Murphi keeps all of it in the same workflow, so clinicians never switch tools or re-enter information.

Editing by voice

The newest pattern is using voice to edit rather than create: "make the HPI shorter," "add ROS negative for neuro," "write patient instructions." Changes are tracked so clinicians can accept or undo them before signing.

A simple rule of thumb

If the value is in the conversation, use ambient. If the value is in the clinician's summary, dictate. And if the note is almost right, just say what to change.