How to build an AI scribe for therapy sessions that writes progress notes

AI scribes for therapy sessions are designed to automate the creation of structured progress notes by accurately transcribing sessions, differentiating between speakers, and using large language models (LLMs) to draft notes in formats like SOAP, DAP, or BIRP. This guide emphasizes the importance of maintaining clinical-term accuracy, speaker separation, and structured output to ensure the notes are reliable and audit-ready. Building an in-house AI scribe allows healthcare providers to control the note format and accuracy, avoiding reliance on external black-box solutions. The process involves capturing session audio, transcribing it with speaker labels and medical terms accuracy in Medical Mode, and generating notes through an LLM, with clinicians reviewing and approving the drafts. For protected health information (PHI), compliance with standards such as HIPAA is necessary, with options for self-hosted deployments and data residency to meet regulatory requirements. The guide showcases how organizations like NovoPsych are effectively integrating AI scribes into their systems, highlighting the benefits of owning the transcription pipeline for enhanced trust and accuracy.

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