In healthcare, organizations handle large volumes of clinical data, yet extracting meaningful insights can be challenging in compliance-driven environments. Generative AI offers promise but can lead to errors like hallucinations, posing risks for clinical settings. Healthcare professionals need solutions that deliver reliable insights without these potential hazards.

This session explores how to leverage Azure's AI to extract, analyze, and apply insights from both patient and non-patient data, such as clinical studies and treatment guidelines, without relying on generative AI.

We’ll begin by introducing core AI concepts for healthcare, emphasizing non-generative models that ensure compliance and reliability.

Next, we’ll demonstrate how to use Azure’s AI services to securely analyze clinical data—whether patient information or research studies.

Finally, we’ll outline practical steps for integrating Azure AI into existing healthcare systems, enabling insights while maintaining compliance and security.

Attendees will leave with a clear roadmap for implementing effective, non-generative AI solutions on Azure that enhance data-driven decisions in healthcare.