From FHIR Events to Explainable Agentic AI: Building a Clinical Follow‑Up Demo with InterSystems IRIS for Health

📰 Dev.to AI

Learn how to build a clinical follow-up demo using InterSystems IRIS for Health, integrating FHIR events with explainable agentic AI for automated patient care

advanced Published 22 Apr 2026

Action Steps

Build a FHIR server using InterSystems IRIS for Health to store and manage patient data
Configure an AI agent to evaluate trends in patient data and generate evidence-based recommendations
Integrate the AI agent with clinical guidelines and decision support systems
Test the demo using sample patient data, such as creatinine test results
Apply the demo to real-world clinical scenarios to improve patient outcomes

Who Needs to Know This

Clinical data analysts, healthcare IT professionals, and AI engineers can benefit from this demo to improve patient care and streamline clinical workflows

Key Insight

💡 Explainable agentic AI can help automate clinical follow-ups and improve patient care by evaluating trends in patient data and generating evidence-based recommendations