Key AI concepts
When you know common AI terms, you can confidently discuss Dragon Copilot with clinicians and stakeholders.
| AI term | Meaning | In Dragon Copilot |
|---|---|---|
| Artificial intelligence (AI) | Technology that performs tasks requiring human-like intelligence. | Powers intelligent assistance across clinical tasks throughout the application. |
| Responsible AI | Principles for developing and using AI safely, fairly, and ethically. | Guides how Microsoft designs and deploys Dragon Copilot. |
| Conversational AI | AI that understands and responds to spoken or written language. | Processes clinical conversations and natural-language prompts. |
| Generative AI | AI that creates new content from learned patterns. | Generates draft notes, summaries, and letters, based on preferences, templates, and the clinician’s specialty. |
| Ambient AI | AI that works quietly within an existing workflow. | Captures conversations and creates draft notes with minimal disruption. |
What you should know
You don’t need to understand how an AI model is trained or engineered. Instead, focus on three important concepts:
AI assists. Dragon Copilot listens to patient encounters, drafts clinical documentation, and responds to queries and prompts to help clinicians perform tasks more efficiently.
Clinicians review. Clinicians should always review AI-generated content.
Clinicians decide. Clinical judgment remains entirely with the clinician.