{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/c119e51023574e6791dabd5d417867c9\" frameborder=\"0\" width=\"1920\" height=\"1440\" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>","height":1440,"width":1920,"provider_name":"Loom","provider_url":"https://www.loom.com","thumbnail_height":1440,"thumbnail_width":1920,"thumbnail_url":"https://cdn.loom.com/sessions/thumbnails/c119e51023574e6791dabd5d417867c9-248cf466a374a810.gif","duration":85.533333,"title":"Using AI Voice Charts for Clinical Documentation","description":"This Loom explains how AI voice charts can help providers generate structured chart documentation from spoken appointment context. It outlines the workflow starting from the appointment or chart process, emphasizing that the provider must review and confirm AI-generated content for accuracy. The video highlights the need to include clinically relevant details, verify service and treatment information, document products used and client response, and provide appropriate follow-up instructions. It also notes that if sign-off is required, the provider should submit after review so the medical director or approver can complete the workflow."}