Build a real-time medical transcription analysis app with AssemblyAI and LLM Gateway

This tutorial shows you how to build a real-time medical transcription system that captures patient conversations, separates speakers, and automatically generates SOAP notes. You'll create a streaming application that processes audio as it happens, giving healthcare providers instant transcription with proper clinical documentation format. You'll use AssemblyAI's Python SDK for real-time speech-to-text with multichannel speaker separation, combined with OpenAI's GPT-4 API to transform raw transcripts into structured clinical notes. The implementation includes microphone audio capture, streaming transcription processing, and FHIR integration for Electronic Health Records systems. What is AI medical transcription and when to use streaming AI medical transcription is software that converts doctor-patient conversations into written clinical notes automatically. This means you record a conversation, the AI transcribes the speech, then structures it into proper medical documentation like SOA