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EP12 Dong Yao, MD and Shivam Vedak, MD, MBA Stanford (Part 1) episode artwork

EPISODE · Apr 29, 2025 · 38 MIN

EP12 Dong Yao, MD and Shivam Vedak, MD, MBA Stanford (Part 1)

from STAT AI: An Emergency Medicine Podcast · host Ethan Abbott and DJ Apakama

Join us for Episode 12 of the STAT AI podcast featuring Dong Yao, MD, an emergency medicine physician, and Shivam Vedak, MD, MBA, an internal medicine physician, both clinical informaticists from Stanford. They discuss their experiences integrating artificial intelligence and large language models (LLMs) into clinical workflows, providing valuable insights into effective prompting techniques and practical implementation strategies for clinicians.Share your thoughts on the episode here.Support the show

What this episode covers

Join us for Episode 12 of the STAT AI podcast featuring Dong Yao, MD, an emergency medicine physician, and Shivam Vedak, MD, MBA, an internal medicine physician, both clinical informaticists from Stanford. They discuss their experiences integrating artificial intelligence and large language models (LLMs) into clinical workflows, providing valuable insights into effective prompting techniques and practical implementation strategies for clinicians. Share your thoughts on the episode here. Suppo...

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EP12 Dong Yao, MD and Shivam Vedak, MD, MBA Stanford (Part 1)

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Frequently Asked Questions

How long is this episode of STAT AI: An Emergency Medicine Podcast?

This episode is 38 minutes long.

When was this STAT AI: An Emergency Medicine Podcast episode published?

This episode was published on April 29, 2025.

What is this episode about?

Join us for Episode 12 of the STAT AI podcast featuring Dong Yao, MD, an emergency medicine physician, and Shivam Vedak, MD, MBA, an internal medicine physician, both clinical informaticists from Stanford. They discuss their experiences integrating...

Can I download this STAT AI: An Emergency Medicine Podcast episode?

Yes, you can download this episode by clicking the download button on the episode player, or subscribe to the podcast in your preferred podcast app for automatic downloads.
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