{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/9bd207eb9d0246a189beb02fa7a99222\" frameborder=\"0\" width=\"1250\" height=\"937\" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>","height":937,"width":1250,"provider_name":"Loom","provider_url":"https://www.loom.com","thumbnail_height":937,"thumbnail_width":1250,"thumbnail_url":"https://cdn.loom.com/sessions/thumbnails/9bd207eb9d0246a189beb02fa7a99222-0de58be94a6e8cba.gif","duration":182.942,"title":"AI Discharge Copilot for Medication Reconciliation","description":"This Loom explains a discharge co-pilot that helps doctors reconcile medication and test information to prevent errors at discharge. It notes that many medical errors occur when turning four specialists prescriptions into a single clean discharge list, often done from memory without pharmacist double-checking. The co-pilot previews and grounds discharge packet decisions in evidence, showing whether medications should be continued, discontinued, or modified, and cites reasons such as home-med continuation, drug-drug interactions, renal dose conflicts, and adverse drug events. The demo shows the doctor using the grounded sources while clicking to quickly access the supporting information."}