{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/139bebb28e3047dda9ccd0f972f7261f\" frameborder=\"0\" width=\"1110\" height=\"832\" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>","height":832,"width":1110,"provider_name":"Loom","provider_url":"https://www.loom.com","thumbnail_height":832,"thumbnail_width":1110,"thumbnail_url":"https://cdn.loom.com/sessions/thumbnails/139bebb28e3047dda9ccd0f972f7261f-81a35c7da997b530.gif","duration":231.072,"title":"AI Prior Authorization Drafting for IRA Coordinators","description":"This Loom demonstrates an AI automation platform for MC Benefits Team IRA Coordinators to speed up prior authorization (PA) packet drafting. Raj explains how the system extracts policy criteria from clinical notes, verifies codes, scores approval likelihood, and escalates only the specific fields needing PA money. In three demo scenarios, it identifies needs review results, determines when no PA is required, and auto-completes an approval likelihood scoring 0.79 for a case involving “Tumira.” The demo uses a Streamlit UI with inputs like drug name, diagnosis, payer, and clinical notes, and is orchestrated with multiple agents using OpenAI through LangGraph."}