This is like giving every radiologist a smart digital scribe and reporting assistant that understands medical images and dictation, then drafts structured radiology reports for them to review and sign—inside the systems they already use.
Radiology reporting is slow and repetitive: radiologists dictate or type detailed findings, manage templates, correct errors, and ensure consistency under heavy workload and staffing pressure. Dragon Copilot aims to automate much of the report drafting and documentation, reduce clicks and rework, and surface the right clinical information so radiologists can focus on interpretation rather than paperwork.
Tight integration with Nuance/Microsoft’s existing clinical dictation footprint and PACS/RIS/EHR workflows, combined with access to large healthcare language models, radiology-tuned prompts, and enterprise-grade security/compliance in Microsoft’s cloud.
Hybrid
Vector Search
Medium (Integration logic)
Context window and inference cost when processing long, detailed multimodal clinical contexts (imaging metadata, prior reports, EHR snippets) for large volumes of radiology exams.
Early Majority
Positioned as a unified Copilot across the broader Microsoft/Nuance clinical ecosystem (EHR, documentation, ambient scribing) rather than a point solution—allowing radiology AI assistance to share identity, security, and clinical context with other Copilot experiences in the hospital.