Architecting Governed Healthcare Data Platforms on AWS

Healthcare organizations are increasingly using cloud-based real-world evidence (RWE) platforms to power clinical research, population health analytics, and AI-driven insights. However, building these systems on AWS introduces complex governance challenges around privacy, compliance, and multi-institution collaboration.

This session explores how to architect data governance into healthcare analytics platforms on AWS, focusing on practical design patterns rather than policy theory. We examine how ethical data stewardship principles such as consent, accountability, and responsible data use, can be implemented using cloud-native controls and services.

The presentation walks through key architectural considerations for secure RWE platforms on AWS, including role-based access control, auditability, data minimization, and encryption, and how these capabilities support compliance requirements such as HIPAA and GDPR. Attendees will learn how federated, multi-account AWS architectures enable collaboration across institutions while preserving local data ownership and control.

We will also discuss privacy-preserving analytics patterns on AWS, including approaches that support federated learning, differential privacy, and secure computation to enable AI-driven insights without exposing raw patient data. Practical implementation trade-offs such as performance, scalability, and operational complexity will be highlighted using real-world platform scenarios.

Attendees will leave with actionable AWS architecture patterns and governance strategies for building secure, compliant, and scalable real-world evidence platforms that unlock innovation while maintaining patient trust.

Please note: The Zoom link will be available here at 11:30am ET on April 2nd.