Closing the Loop: Powering Real-Time Clinical AI Automation with Apache Beam

The “last mile” of healthcare AI is often the hardest: turning a model prediction into an actual clinical action. Azra AI uses Apache Beam to close this loop. By unifying data ingestion and AI/ML within Beam pipelines, we automate the identification and navigation of patients needing urgent care.

In this talk, we’ll outline our architecture for deploying real-time streams with AI/ML predictions to provide clinicians with up-to-the-minute insights. We will discuss the challenges of processing unstructured clinical text and how Beam enables us to scale our automation to serve patients across diverse hospital networks.