How to build an AI medical scribe with AssemblyAI

AI medical scribes are transforming healthcare documentation, but building one that works in clinical settings requires more than basic transcription. You need accurate medical terminology capture, reliable speaker identification, and privacy safeguards that protect patient data. This tutorial walks you through building a functional AI medical scribe in Python. You'll start with basic transcription and progressively add speaker identification, PII redaction, SOAP note generation, and automatic data deletion. By the end, you'll have a working prototype that handles real-world clinical scenarios. What makes a production-ready medical scribe? Before diving into code, understand what separates a proof-of-concept from a deployable healthcare solution. Essential features checklist Feature Why it matters Implementation complexity High accuracy on medical terms Misheard drug names or dosages create clinical risks Medium - requires domain-specific models Speaker identification Distinguishes doc