Centralizing Data into a Single Repository to Amplify Usability at Franciscan Health
Centralizing Data into a Single Repository to Amplify Usability at Franciscan Health
Franciscan Health
InterSystems technologies are the center of data flows at Franciscan Health, enabling the organization to provide patients with the right information when they need it, how they need it, and in the form they need it across Illinois and Indiana.
Agentic AI in Healthcare A multi-agent AI system recently diagnosed rare medical cases correctly over 80% of the time. That's four times better than seasoned human clinicians. It didn't get there by being smarter than any single AI. It got there by having multiple agents argue with each other until the errors got caught.
Agentic AI architecture assigns specialized AI agents to distinct tasks so the combined result outperforms any single model. Learn core components, patterns, and decision frameworks.
When emergency clinicians have the right information at the right time, patients benefit. My Emergency Doctor is transforming access to specialist emergency care for hospitals across Australia, connecting clinicians, patients, and critical health information wherever it is needed.
Agent-friendly, AI-ready, cloud-first—InterSystems IRIS® offers the
environment to build your future data ecosystem on a modern AI stack.
From traditional analytics, dashboards, and machine learning (ML);
through assistive vector search, retrieval-augmented generation (RAG), and
generative AI (GenAI); to model context protocols (MCP) and autonomous
agents, InterSystems provides the technologies you need to reach the highest
levels with your data and to make your system an active data partner.
InterSystems Data Studio empowers supply chain teams with accurate, trusted, and real-time data to make faster, smarter decisions. By simplifying data integration and providing a low-code, self-service gateway for harmonizing supply chain data, organizations can reduce implementation time, lower costs, and accelerate time to value.