Scribe

The Scribe is a documentation tool built into Patient Chat. It removes the need to type clinical notes during or after a consultation by listening to the spoken exchange, separating the speakers, extracting the clinically relevant information, and restructuring it into a predefined documentation template. The Scribe does not simply transcribe everything that was said. It works in up to three sequential steps — transcription, optional diarization, and extraction — to produce a structured, reviewable clinical note.

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What Scribe does during a consultation

Scribe runs inside Patient Chat. When you start a recording, Scribe captures the full audio in the background without interrupting the consultation. Recordings are processed in smaller chunks, which keeps memory use stable — a session can run as long as the visit does, even for very long consultations. When you stop, the recording moves through up to three sequential stages:

1. Transcription — An ASR model converts the audio to text.
2. Diarization (optional) — A diarization model separates the speakers so the output distinguishes the clinician’s contributions from the patient’s.
3. Extraction — An LLM reorganizes the transcript into a predefined Extraction Template — for example, a SOAP note, a referral summary, or a medication review form. Templates aren’t limited to flat fields; they can nest objects and arrays, like a medication list with a name, dose, and frequency per entry.

The structured note is then written into Patient Chat for that patient, ready for review and correction.

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Why it matters for clinicians

• Uninterrupted consultations: You can give the patient your full attention throughout the encounter, rather than dividing your focus between the patient and the keyboard.
• Consistent documentation: Because the output follows a predefined template, notes are structured consistently across all clinicians and all encounters, improving the quality of the clinical record.
• Reduced after-hours burden: Documentation that would otherwise be completed after clinic hours is handled automatically during the encounter, returning time to clinicians at the end of the working day.

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