<?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/69f8382113d4421ab4bcf2cdfca3dad3&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/69f8382113d4421ab4bcf2cdfca3dad3-225fbd740fedf5ce.gif</thumbnail_url><duration>693.278</duration><title>Using Trial Mind Data Science Assistant for Cancer Survival Care Plans</title><description>In this video, I demonstrate how to use the Trial Mind Data Science Assistant for clinical decision support, specifically in creating a cancer survival care plan. I walk through uploading patient oncology notes and relevant chemotherapy drug information, and how the assistant generates a comprehensive patient summary and survival care plan using ASCO templates. I also highlight the importance of augmenting the AI-generated documents with citations for verification. Finally, I create a concise action plan for the primary care physician to ensure a smooth transition for the patient from oncology care. I encourage viewers to explore the generated documents and utilize the insights for better patient management.</description></oembed>