{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/1ccd4eec00eb4ddab700d32734f33c28\" 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/1ccd4eec00eb4ddab700d32734f33c28-7c2ab43df91dc831.gif","duration":154.8311,"title":"Openscribe","description":"In this video, I introduce OpenScribe, a free MIT licensed AI medical scribe that transcribes audio and generates structured clinical notes. It can run in the browser or as a desktop Electron app, allowing for seamless audio capture during clinician-patient conversations. The architecture is similar to commercial AI scribe software, making it a reusable core infrastructure for anyone interested. I encourage you to clone the repo and run it locally, keeping in mind that it's currently not HIPAA compliant without your own hosting setup. Check the readme for a quick five-minute setup and clear documentation."}