{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/0d5d94ef03ba45988e6a5d908fa61913\" frameborder=\"0\" width=\"1606\" height=\"1204\" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>","height":1204,"width":1606,"provider_name":"Loom","provider_url":"https://www.loom.com","thumbnail_height":1204,"thumbnail_width":1606,"thumbnail_url":"https://cdn.loom.com/sessions/thumbnails/0d5d94ef03ba45988e6a5d908fa61913-65fe14406ef66ff9.gif","duration":123.221333,"title":"RangerLoop Automates Mammogram Scheduling and Follow-Up","description":"This Loom demonstrates how RangerLoop automates the end to end healthcare follow up workflow for an abnormal mammogram. It starts from an ambient AI summary, then calls clinics and the patient, using agent context such as Jordan Whitfield’s diagnostic mammogram memory and safety guardrails. The example scheduling call offers a slot for Tuesday, July 21, 2026 at Center Compliance (with the call framed as March 22, 1979), and the patient confirms the appointment. RangerLoop then books the slot in the Coastal Diagnostic Group system and confirms back in systems like Epic."}