TL;DR
Built a dual-model AI triage system for healthcare that smartly routes patient queries — simple questions go to a basic AI model, complex medical concerns go to an advanced model. Added tools for symptoms checking, appointment scheduling, and wait time estimates. Everything’s configurable and safety-focused.
Introduction
Remember the last time you needed medical help but weren’t sure if it was urgent? That’s exactly why I built this AI triage system. After reading on various healthcare providers, one challenge kept coming up: efficiently handling patient inquiries while ensuring urgent cases get immediate attention.
What’s This Article About?
Think of this system as a smart medical receptionist powered by AI. The core innovation is the AI router that decides which of two AI models should handle each patient query. Simple questions about appointments or wait times go to a lightweight model, while complex medical questions get routed to a more powerful model. The system includes practical tools for checking symptoms, scheduling appointments, and estimating wait times — all while prioritizing patient safety.
Tech stack
Why Read It?
AI isn’t just buzzword anymore — it’s transforming how businesses operate. This article shows you a practical implementation in healthcare. Through our example healthcare provider, you’ll see how:
AI can handle routine tasks while escalating urgent cases
Different AI models can work together based on task complexity
Real-world business tools can integrate with AI systems
Safety and error handling work in critical applications
Configuration management makes systems adaptable
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