{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/56623736a29d4b8681c9a0152e584042\" frameborder=\"0\" width=\"1392\" height=\"1044\" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>","height":1044,"width":1392,"provider_name":"Loom","provider_url":"https://www.loom.com","thumbnail_height":1044,"thumbnail_width":1392,"thumbnail_url":"https://cdn.loom.com/sessions/thumbnails/56623736a29d4b8681c9a0152e584042-c45505e127348ccf.gif","duration":415.273,"title":"Clinical Copilot Physician Workflow Demo Update","description":"This Loom demonstrates the clinician experience of the Clinical Co-Pilot within OpenEMR during week two of the gauntlet program. It focuses on re-implementing the dashboard in React for feature parity, then using AI tools to upload and extract inpatient intake and lab PDFs, generating proposals that write directly to Margaret Chen’s chart. The physician validates and confirms changes, including updating a penicillin allergy reaction to hives via dictation and saving lab results like triglycerides 178 mg/dL. The Loom also shows how citations and original documents can be reviewed and includes an observability walkthrough with LangFuse covering traces, latency, costs, and model triggers."}