Epic Embraces AI: Healthcare AI Agent and Copilot Implementation in US Health Systems
Several US health systems including UC San Diego Health have adopted AI solutions to alleviate clinician inbox overload, reduce documentation time, and provide timely insights within clinical workflows. These systems implemented Epic's AI features powered by Microsoft technology such as Azure OpenAI and Microsoft Fabric. Key AI capabilities deployed include ambient scribe with Nuance Dragon Ambient eXperience, generative AI-based note drafting, patient messaging automation, and natural language query analytics within Epic's EHR system. The solutions leverage Microsoft Fabric for secure data governance and conversational data analysis, integrating the AI agent and copilot functionalities to streamline clinical documentation, patient communications, and clinical workflow efficiency. Early adopter feedback highlights significant documentation time savings, improved clinician satisfaction, and ongoing expansion of AI-assisted workflows across ambulatory and inpatient settings.
- Organization
- UC San Diego Health
- Industry
- Healthcare
- Location
- United States
- Published
- October 2025
Reported outcomes
Strategic outcomes
Why do we believe this deployment?Customer identity, provider attribution, maturity, and source checks
- Customer
- UC San Diego Health
- Provider
- Microsoft
- Maturity
- Production
- Linked source
- MH Healthcare
Key AI capabilities deployed include ambient scribe with Nuance Dragon Ambient eXperience, generative AI-based note drafting, patient messaging automation, and natural language query analytics within Epic's EHR system
Primary read
Use case focus
Showing 3 of 4
- 1AI Agents
- 2Generative AI
- 3Ambient Clinical Documentation
- UC San Diego Health and other health systems piloted and deployed Epic's AI innovations embedded in the Epic EHR using Microsoft Azure OpenAI for generative AI features and Nuance Dragon Ambient eXperience for ambient scribe.
- Microsoft Fabric is utilized to securely govern and enable analysis of the conversational data generated by these AI interactions.
- The integration enables AI agents and copilot functionalities that listen ambiently during clinician-patient interactions, draft notes, automate patient messaging, and allow natural language queries for clinical data analytics.
- This AI-enhanced workflow reduces manual documentation burden and improves communication efficiency across care teams.
- Early users report measurable reductions in time spent on clinical documentation, leading to increased clinician efficiency and satisfaction.
- There are reported improvements in patient communication turnaround times due to AI-assisted messaging.
- The AI agent and copilot deployment is expanding across various clinical settings, demonstrating scalability and operational benefits in healthcare workflows.
Implementation partners1
Sources & evidence1
- Customer explicitly identified
- Deployment status explicitly supported
- Technical implementation details available
AI-generated summary. Verify important details with the linked sources before relying on this case.
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