Nuance Dragon Ambient eXperience (DAX)
PaidEnterprise ambient AI scribe by Microsoft Nuance that converts clinician-patient conversations into structured clinical notes in real time.
What is Nuance Dragon Ambient eXperience (DAX)?
Nuance Dragon Ambient eXperience, now branded as Microsoft Dragon Copilot after a 2025 rebrand, is the healthcare industry's leading ambient clinical documentation platform trusted by 77% of US hospitals. Built on Microsoft Azure and powered by GPT-4, DAX listens passively to patient-clinician conversations and auto-generates specialty-specific structured clinical notes, referral letters, after-visit summaries, and ICD-10 coding suggestions without any voice commands. It integrates natively with Epic Haiku and Oracle Health (Cerner) EHRs, delivering a completed draft note in seconds after the encounter for clinician review and signature. With 25+ years of clinical speech recognition heritage and enterprise-grade HITRUST and SOC 2 certifications, DAX is the benchmark solution for large health systems looking to cut documentation time and reduce physician burnout.
Key Features
Integrations
How to Use Nuance Dragon Ambient eXperience (DAX)
✅ Best For
- Large health systems and multi-site hospital groups using Epic or Oracle Health (Cerner) EHRs that need enterprise-grade ambient documentation with deep EHR integration. CMIOs and IT leaders standardizing on the Microsoft Cloud for Healthcare who want a proven, HITRUST-certified solution that covers 100+ clinical specialties.
❌ Not For
- Solo practitioners or small practices that need a self-serve, month-to-month subscription without enterprise procurement. Android device users, as DAX's mobile capture requires an iPhone. Clinics that need immediate setup without IT-led implementation timelines.
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Pricing
- ✓Annual contract
- ✓EHR integration
- ✓enterprise deployment
- ✓Volume discounts for 76+ providers
- ✓dedicated implementation support
Prompts to Try
Generate a cardiology SOAP note from today's patient visit
Create a referral letter for the specialist based on this encounter
Suggest ICD-10 codes for the documented diagnoses