<?xml version="1.0" encoding="UTF-8"?><oembed><type>video</type><version>1.0</version><html>&lt;iframe src=&quot;https://www.loom.com/embed/f936fee0bc3f4e73a4c15d1c389113d7&quot; frameborder=&quot;0&quot; width=&quot;1920&quot; height=&quot;1440&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>1440</height><width>1920</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>1440</thumbnail_height><thumbnail_width>1920</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/f936fee0bc3f4e73a4c15d1c389113d7-7ef33c21e5c9482c.gif</thumbnail_url><duration>69.08</duration><title>Exploring Agura Conversational AI and Its Applications 💡</title><description>In this video, I delve into the capabilities of Agura&apos;s conversational AI, specifically focusing on its application in managing prescriptions for patients like John Doe. I explore how the effectiveness of these AI systems can vary based on context and implementation details. I encourage you to consider the implications of this technology in our workflow and think critically about how we can leverage it for better patient outcomes. Your feedback on this topic would be invaluable as we move forward. Let&apos;s discuss how we can integrate these insights into our practices.</description></oembed>