Data-driven Design of Stroke Systems to Optimize Care and Improve Outcomes

Accepting Students

X- Ray illustration of brain stroke - 3d Illustration


This research program uses data from clinical registries and administrative databases to evaluate stroke health services provision, identify disparities in care, explore healthcare delivery via telemedicine, including Telestroke, and examine health human resources needs to allow for a data-driven redesign of acute stroke systems. The goal is to reduce inequities in care and achieve better stroke outcomes in the population through knowledge generation and collaboration with provincial and national knowledge users.

Accepting Students

MSc or PhD students will learn to refine research questions, design dataset creation plans, perform the necessary linkages between clinical and administrative data, and learn machine learning and traditional statistical analytic methods.

Lead Faculty

Amy Y.X. Yu


Accepting Students