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Ep 28 - Copilot and AI in Healthcare with Gary Raife
Manage episode 476422723 series 3516543
In this episode of Copilot Connection, Zoe and Kevin are joined by Gary Raife to discuss the transformative potential of AI and Microsoft Copilot in the healthcare sector. We explore the challenges of interoperability, the role of AI in enhancing patient care, and the exciting developments of Dragon Copilot. The conversation also touches on the integration of personal health data, the importance of trust and transparency in AI applications, and the future of healthcare driven by data and technology.
Takeaways
- Healthcare presents a significant opportunity for AI integration.
- Interoperability remains a critical challenge in healthcare systems.
- AI can enhance patient experiences and streamline workflows.
- Dragon Copilot introduces ambient listening capabilities for clinicians.
- Wearable technology can provide valuable health data for monitoring.
- Trust and transparency are essential for AI adoption in healthcare.
- Personal health data integration can improve patient outcomes.
- AI should support clinicians rather than replace them.
- The future of healthcare will be increasingly data-driven.
- Collaboration between technology and healthcare professionals is vital.
Key links
News
- Introducing Researcher and Analyst in Microsoft 365 Copilot | Microsoft 365 Blog
- Copilot Consumer Updates - Your AI Companion - The Official Microsoft Blog
- New capabilities in Azure AI Foundry to build advanced agentic applications | Microsoft Azure Blog
- Interpreter Agent
- Copilot Studio Toolkit updates announced
- microsoft/Power-CAT-Copilot-Studio-Kit
- Introduction - Model Context Protocol
- Announcing the Agent2Agent Protocol (A2A) - Google Developers Blog
Healthcare related
41 episodes
Manage episode 476422723 series 3516543
In this episode of Copilot Connection, Zoe and Kevin are joined by Gary Raife to discuss the transformative potential of AI and Microsoft Copilot in the healthcare sector. We explore the challenges of interoperability, the role of AI in enhancing patient care, and the exciting developments of Dragon Copilot. The conversation also touches on the integration of personal health data, the importance of trust and transparency in AI applications, and the future of healthcare driven by data and technology.
Takeaways
- Healthcare presents a significant opportunity for AI integration.
- Interoperability remains a critical challenge in healthcare systems.
- AI can enhance patient experiences and streamline workflows.
- Dragon Copilot introduces ambient listening capabilities for clinicians.
- Wearable technology can provide valuable health data for monitoring.
- Trust and transparency are essential for AI adoption in healthcare.
- Personal health data integration can improve patient outcomes.
- AI should support clinicians rather than replace them.
- The future of healthcare will be increasingly data-driven.
- Collaboration between technology and healthcare professionals is vital.
Key links
News
- Introducing Researcher and Analyst in Microsoft 365 Copilot | Microsoft 365 Blog
- Copilot Consumer Updates - Your AI Companion - The Official Microsoft Blog
- New capabilities in Azure AI Foundry to build advanced agentic applications | Microsoft Azure Blog
- Interpreter Agent
- Copilot Studio Toolkit updates announced
- microsoft/Power-CAT-Copilot-Studio-Kit
- Introduction - Model Context Protocol
- Announcing the Agent2Agent Protocol (A2A) - Google Developers Blog
Healthcare related
41 episodes
All episodes
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