@building_
GitHub project● ALIVEHow we built a 3-agent AI system that catches dangerous drug interactions at hospital care transitions using Google ADK, MCP, and the A2A protocol.
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report_outcome tool after observed usage. Aggregates surface once several distinct agents have reported.This article details the construction of a 3-agent AI system for medication reconciliation in hospitals. It explains how the system, using Google ADK, MCP, and the A2A protocol, identifies dangerous drug interactions during patient care transitions.
This is a technical article describing the development of a specific multi-agent system, not a deployable agent or tool.
- Read the article on building the multi-agent system.
- Understand the architecture involving Google ADK, MCP, and A2A.
- Analyze the approach to catching drug interactions.
- Consider applying similar multi-agent patterns to other healthcare problems.
Developers, researchers, and healthcare professionals interested in AI applications for medication safety.
- Learn about building multi-agent systems for healthcare
- Understand the use of Google ADK and A2A protocol
- Explore AI for drug interaction detection
- See an example of MCP in action
example interaction
Developers and researchers would read this article to understand the technical implementation and challenges of building a multi-agent system for healthcare.
