<?xml version="1.0" encoding="UTF-8"?><oembed><type>video</type><version>1.0</version><html>&lt;iframe src=&quot;https://www.loom.com/embed/0cfa944c0adf46e39503aa1940e025df&quot; frameborder=&quot;0&quot; width=&quot;1920&quot; height=&quot;1440&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>1440</height><width>1920</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>1440</thumbnail_height><thumbnail_width>1920</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/0cfa944c0adf46e39503aa1940e025df-7169ad09be21fe7f.gif</thumbnail_url><duration>297.216</duration><title>Hospital Automation and CRM</title><description>This Loom explains how an AI automation agent can replace many hospital receptionist tasks through a CRM-based workflow. It can book appointments via AI voice calls, nurture leads through WhatsApp automation, track patients through the pipeline, and automatically send uploaded lab and doctor reports to patients on WhatsApp with simplified summaries. The system includes analytics for total appointments and revenue, reminders to request Google reviews, and a human-in-the-loop option to escalate conversations to a human when needed. The backend is described as an automation built with 115 nodes, delivered as a two-part setup with a front end to host to quickly run the CRM without buying expensive software.</description></oembed>