{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/88edd5aa4dc845209c5af78a2df78eb6\" frameborder=\"0\" width=\"1114\" height=\"835\" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>","height":835,"width":1114,"provider_name":"Loom","provider_url":"https://www.loom.com","thumbnail_height":835,"thumbnail_width":1114,"thumbnail_url":"https://cdn.loom.com/sessions/thumbnails/88edd5aa4dc845209c5af78a2df78eb6-1687122354267.gif","duration":236.29999999999995,"title":"Building an AI Co-Pilot for Medical Coding 🤖","description":"Hi there! I'm excited to share with you our latest project at team Medicode. We'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's why we created the Medi-Code pilot, which can help reduce errors and save healthcare providers time and money. In this video, we'll show you a demo of how it works and how it can benefit medical coders. We'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!"}