<?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/7be8f33e90ca40fcac750b5c37fcda96&quot; frameborder=&quot;0&quot; width=&quot;1152&quot; height=&quot;864&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>864</height><width>1152</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>864</thumbnail_height><thumbnail_width>1152</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/7be8f33e90ca40fcac750b5c37fcda96-1686520563710.gif</thumbnail_url><duration>232.696</duration><title>ClinAction: Distilling Clinical Actions from Medical Notes</title><description>Hi, I&apos;m Dr. Daniel Raff from Team 31 and I&apos;m excited to introduce you to ClinAction, a revolutionary tool that uses LLMs to distill clinical actions from medical notes. As a family doctor, I know firsthand how overwhelming it can be to sift through unstructured documents like letters and reports to find critical actions for my patients. This inefficiency not only leads to burnout but also puts patient safety at risk. That&apos;s why ClinAction is such a game changer. By parsing through documents and generating clinical actions for provider approval, this tool can save over 30 minutes of work per day and reduce errors. In this video, I&apos;ll show you a demo of our model in action, analyzing a sample document and generating a clinical action. Check it out!</description></oembed>