<?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/88edd5aa4dc845209c5af78a2df78eb6&quot; frameborder=&quot;0&quot; width=&quot;1114&quot; height=&quot;835&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>835</height><width>1114</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>835</thumbnail_height><thumbnail_width>1114</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/88edd5aa4dc845209c5af78a2df78eb6-1687122354267.gif</thumbnail_url><duration>236.29999999999995</duration><title>Building an AI Co-Pilot for Medical Coding 🤖</title><description>Hi there! I&apos;m excited to share with you our latest project at team Medicode. We&apos;ve built an AI co-pilot for medical coding that can analyze medical notes, suggest ICD-10 and CPT codes, and explain its reasoning. Did you know that medical coding errors are a major reason for denied claims, causing over $300 billion annually in unnecessary spending? That&apos;s why we created the Medi-Code pilot, which can help reduce errors and save healthcare providers time and money. In this video, we&apos;ll show you a demo of how it works and how it can benefit medical coders. We&apos;ll start by entering a clinical note and asking the co-pilot to suggest CPT and ICD-10 codes. We can even ask custom questions and get detailed explanations for the codes suggested. Check it out!</description></oembed>