Enabling AI-Driven Care: Northwestern Medicine’s Data Platform Modernization at Scale

In the era of digital transformation, healthcare organizations must harness the power of data to drive innovation, efficiency and improved patient outcomes. At the forefront of this evolution, Northwestern Medicine is modernizing its data platform to enable AI driven care at scale. This transformation involves re architecting legacy systems into a cloud native, scalable, and interoperable data ecosystem that supports advanced analytics, machine learning and real time clinical decision making attributing toward better patient care.

The modernization effort focuses on integrating diverse data sources i.e. from electronic health records (EHRs) to imaging, genomics and IoT devices into a unified, secure and governed Data platform. By leveraging modern data architecture strategies and establishing guiding principles, Northwestern Medicine aims to reduce data silos and accelerate the deployment of intelligent healthcare applications on Cloud at scale.

Our session will explore the technical strategies behind Northwestern Medicine’s data platform modernization, including infrastructure choices, data governance frameworks, and AI/ML enablement. Join us to learn how Northwestern Medicine is redefining patient care through a robust, future ready data platform that empowers innovation across the healthcare continuum.