
Nura is an autonomous clinical voice agent that goes far beyond existing AI scribes. While products like Nuance DAX, Abridge, and Nabla only generate notes, Nura transcribes, reasons, and acts — all without physician input. The Problem: Physicians spend 3+ hours daily on documentation alone. 43% experience burnout, costing US healthcare $4.6 billion annually in turnover. Current AI scribes only solve transcription — they don't detect clinical issues, flag conflicts, or take action. How Nura Works: The doctor presses ONE button. Nura processes real clinical audio through Speechmatics' Medical Model (98% accuracy, real-time speaker diarization), then feeds diarized transcript segments into the LLM for clinical reasoning. The autonomous agent pipeline: • Detects drug interactions by cross-referencing medications against the patient's record • Flags allergy conflicts when a prescribed drug conflicts with documented allergies • Classifies urgency and triggers specialist referrals for critical findings • Updates the patient record with newly detected conditions and symptoms • Generates a complete SOAP note (Subjective, Objective, Assessment, Plan) • Books follow-up appointments by parsing scheduling context from the conversation • Routes reports to the correct department and alerts care teams — all autonomously The demo accepts any clinical audio — upload a real recording or use the built-in samples — and produces live transcription, real-time action cards, and a full autonomous post-analysis workflow including appointment booking and department routing. Enterprise Value: AI documentation tools save an estimated 5.6 minutes per appointment (JAMA, 2024). For a 200-doctor hospital averaging 20 visits/day, that's 373 physician-hours saved weekly. Combined with prevented adverse drug events ($50K–$100K each), the ROI is substantial.
19 May 2026