Скачать или смотреть Can you improve your EHR UX with LLM Agents?

In this video, we dive into Josh Mandel's vision for how LLMs can transform asynchronous clinical workflows like prior authorization. Whether you're looking to understand the future of AI-driven healthcare UX or the technical architecture behind agent interactions, this video has you covered!

Asynchronous clinical workflows are essential for streamlining complex, multi-step tasks like prior auth and clinical trial matching—and today, you’ll learn exactly how to design and implement a scalable UX using AI agents embedded in EHRs.

What You’ll Learn in This Video:
✔️ How LLM-powered agents can automate prior authorization via agent-to-agent communication
✔️ Why asynchronous UX patterns like the liaison model are crucial for modern healthcare tasks
✔️ The role of protocols like MCP and A2A in enabling secure, flexible data access and interoperability

Chapters:
00:00 - Introduction & Josh Mendel's Vision
01:24 - The Pain Points of Clinical Workflows & Prior Authorization
02:05 - Overview of Conversational Agents & LLMs in Healthcare
02:46 - Visualization: How EHR Agents Could Interact With Payers
05:31 - Live Example: How Agent-to-Agent (A2A) Communication Works
08:54 - MCP and Agent-to-Agent (A2A): Understanding the Protocols Clearly
09:11 - The Liaison Model: Changing UX in Clinical Tasks
12:28 - User Experience (UX) for Handling Complex Clinical Tasks
16:34 - Practical UI Examples (Inspired by OpenAI's Codex)
18:44 - Demo of OpenAI Codex: Asynchronous Tasks & Clinical Analogies
21:30 - Recap: The Future of Asynchronous Task Management in Healthcare
22:04 - Conclusion

By the end, you'll have a clear understanding of how intelligent agent orchestration can reduce clinician burden while increasing transparency and flexibility in asynchronous workflows.

This video is perfect for healthtech builders, UX designers, clinical informatics professionals, and AI researchers, whether you're just getting started or looking to level up your understanding of LLMs in real-world EHR applications. Stay tuned for expert insights and practical diagrams that break down complex ideas into intuitive systems.

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