{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/c44d8bfb3a4c41ae9aad35caa4dca6b6\" frameborder=\"0\" width=\"1920\" height=\"1440\" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>","height":1440,"width":1920,"provider_name":"Loom","provider_url":"https://www.loom.com","thumbnail_height":1440,"thumbnail_width":1920,"thumbnail_url":"https://cdn.loom.com/sessions/thumbnails/c44d8bfb3a4c41ae9aad35caa4dca6b6-a09cb6e82c2bc67c.gif","duration":1221.21,"title":"Clinic Flow Projects, AI Powered WhatsApp Automation","description":"This Loom walkthrough explains Clinic Flow Projects, an end to end automated AI clinic management system built from scratch. It details how the system uses a Supabase PostgreSQL database with tables for patients, appointments, prescriptions, reminder set status, and a message log, and how five n8n workflows run to send WhatsApp reminders, review prescriptions daily, classify patient symptom messages with Gemini, generate Monday 8am personalized health tips, and send daily 7am clinic management summaries to the clinic director. It also shows three Loveable dashboards for patients, staff, and managers, including upcoming appointments, prescription details, health tips, and urgent case and appointment volume reporting. Every inbound WhatsApp message is logged and handled in real time, with the author demonstrating an urgent chest pain case alert."}