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Built an AI-Powered Healthcare Automation Workflow with n8n 🚀
I've been building a healthcare automation workflow that streamlines communication between patients and clinics using AI + n8n.
Rather than functioning as a standalone chatbot, this system connects multiple services into a single automated workflow that operates 24/7.
Key capabilities
✅ Automated patient onboarding with structured record creation
✅ AI-powered appointment booking and instant confirmations
✅ Voice note transcription and understanding
✅ Medical image, PDF, and document processing
✅ Prescription verification support
✅ Automated reminders and follow-up notifications
Tech Stack
n8n
AI Models
Telegram
Google Sheets
OCR & Document Processing
Voice Processing
Image Analysis
Workflow Automation
Why I built it
Many healthcare providers still rely on manual workflows for scheduling, patient communication, and document handling. These repetitive tasks consume valuable staff time and often lead to delays or missed follow-ups.
By automating these processes, clinics can improve operational efficiency, reduce administrative workload, and provide a better patient experience.
I enjoy building AI systems that solve real business problems, not just AI demos. Every workflow I create is designed to be scalable, reliable, and easy to maintain.
If you're building a healthcare platform, clinic management system, telehealth solution, or another AI-powered product, I'd love to connect and discuss automation ideas.
What healthcare workflow would you automate first?
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Currently building autonomous AI systems that actually survive production — not just the demo.
Most AI projects work beautifully in a controlled test and then quietly fall apart on real data, edge cases, and concurrency. I focus on the unglamorous engineering that closes that gap: data validation pipelines, boundary checks, error handling, and knowing exactly where deterministic logic should own the decision instead of the model.
Recent work includes agentic workflows built with Python and FastAPI, an LLM reasoning layer for the genuinely ambiguous decisions, and automation orchestrated through Make with MCP. My background is technical support and operations, which means I design for the failure case first — I've spent years watching systems break in ways their builders never anticipated.
If you have an AI pilot that impressed everyone in the demo and then stalled on the way to something dependable, that gap is exactly what I build for.
Open to Applied AI / AI automation projects.
Keep it up!
🚀 Project Spotlight: AI-Powered Hospital Appointment Booking System
I recently built an AI-powered Hospital Appointment Booking System using n8n in collaboration with Abdelaziz Elserty.
The goal was to automate the entire patient booking process, from appointment selection to confirmation, while eliminating repetitive manual tasks.
What the workflow does:
• Interactive appointment booking form
• Department and doctor selection
• Available date & time scheduling
• Patient information collection
• Automatic appointment confirmation
• Email confirmation with booking details
• Automatic logging of bookings in Google Sheets
• Fully automated workflow with no manual intervention
This project demonstrates how workflow automation can help healthcare providers reduce administrative work, improve operational efficiency, and deliver a better experience for patients.
I'm always exploring new ways to build AI-powered systems that save time, streamline operations, and solve real business challenges.
#n8n #AIAutomation #WorkflowAutomation #Healthcare #NoCode #Automation #GoogleSheets #DigitalTransformation
Automating Instagram Leads
I've recently completed a project that automates the logging of Instagram comments with specific keywords. The tech stack included n8n, Instagram, Google Sheets, and Gmail. By automating this process, we've been able to save a significant amount of time and increase efficiency.
#n8n #automation #Webhook #Instagram
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