mounimRhouli/decs-morocco-healthcare-mas

AI-powered multi-agent system for real-time emergency healthcare coordination using decentralized decision-making # 🚑 DECS — Distributed Emergency Coordination System > **A Decentralized Multi-Agent System for Real-Time Emergency Healthcare Coordination in Morocco** --- ## 📋 Table of Contents 1. Problem Statement 2. Solution Overview 3. Agent Architecture 4. System Workflow 5. Negotiation Protocol (CNP) 6. System Architecture 7. Data Flow 8. Diagrams 9. Tech Stack 10. MVP Scope 11. Future Improvements --- ## 🚨 Problem Statement Morocco's emergency healthcare system faces a **critical coordination gap**. When a patient requires emergency care, ambulances, hospitals, and triage personnel operate in silos — with no real-time, shared situational awareness. This leads to: - **Misrouted ambulances** sent to hospitals that are already at full capacity - **Delayed care decisions** due to manual phone-based coordination between dispatchers and hospitals - **Lack of patient context** at the point of handoff — clinicians receive patients with incomplete or missing medical histories - **No dynamic load-balancing** across hospital networks during mass-casualty events or peak periods - **Suboptimal triage** — severity is assessed without AI-assisted classification, leading to preventable deaths > In a country where emergency response times are already challenged by geography and infrastructure, every minute of coordination delay translates directly into preventable loss of life. DECS is designed to eliminate this coordination gap entirely. --- ## 💡 Solution Overview DECS is a **Distributed Multi-Agent System (MAS)** where autonomous, intelligent agents represent every key actor in the emergency response chain — the patient, the ambulance, the triage system, and each hospital. These agents communicate and negotiate with each other **in real time, without any central controller**. ### Key Principles | Principle | Description | |-----------|-------------| | **Decentralization** | No single point of failure. Agents make decisions collaboratively. | | **Autonomy** | Each agent …