ARGUS
Self-Optimizing Hospital Operating System
AI-driven hospital operations platform using real-time data aggregation, digital twins, and autonomous agents.
The Problem
Hospitals are complex adaptive systems with thousands of interdependent decisions daily. Traditional management approaches can't optimize across clinical outcomes, operational throughput, cost efficiency, staff experience, and patient experience simultaneously.
Our Approach
ARGUS integrates data from EHR, monitors, staffing systems, and real-time location services to build a unified hospital state vector. Specialized AI agents handle specific optimization tasks (flow, scheduling, discharge) while a meta-learning layer continuously improves performance.
Innovation
First hospital OS designed from the ground up for autonomous optimization with human oversight, combining digital twins, causal inference, and reinforcement learning.
Project Timeline
- Lawrence Leroux (Founder & CEO)
- 113+ specialized AI agents
188 Python files
Agent Coordination Protocols