Patient Triage & Communication Agent

This challenge tasks developers with building an advanced AI copilot designed to manage patient communications, specifically focusing on initial triage, information dissemination, and empathetic responses. The system will leverage a multi-agent architecture to simulate a healthcare support team, integrating seamlessly with communication platforms like WhatsApp. Participants will focus on ethical AI, data privacy, and the robust integration of MCP-enabled tools for secure access to patient data and medical knowledge bases. The solution must demonstrate adaptive thinking, prioritizing urgent patient queries and providing accurate, compassionate support. This system will orchestrate a team of specialized agents, each with a distinct role: a Triage Agent for initial assessment, an Information Agent for retrieving medical facts, and an Empathy Agent for crafting supportive messages. Developers will implement RAG over a simulated medical knowledge base to ensure factual accuracy and utilize adaptive thinking budgets to allocate processing power based on query complexity and urgency. The core will involve designing secure, MCP-enabled communication channels and tool integrations to interact with a mock WhatsApp API, ensuring patient data is handled responsibly.