How to Build an AI Medical Scribe with Voice Agents

This content originally appeared on HackerNoon and was authored by AssemblyAI

This article breaks down how to build a production-grade AI medical scribe using a three-stage pipeline: speech-to-text, clinical NLP, and documentation generation. It argues that speech recognition accuracy—not the LLM—is the primary bottleneck, especially in complex clinical environments with specialized vocabulary and overlapping speakers. The piece also covers real-time streaming, SOAP note generation, and HIPAA compliance, highlighting that reliable healthcare AI depends on getting the transcription layer right before anything else.

This content originally appeared on HackerNoon and was authored by AssemblyAI