From health data to patient care trajectories | Canada 🇨🇦

Canada Connect: Coffee Talk with an Early Career Researcher

Despite unprecedented health data volumes, Québec still struggles to understand how patients move through care. Over the discussion, I will share how administrative, clinical, pharmaceutical, survey, and text data can be combined with statistical learning and AI to reconstruct patient trajectories. Drawing on examples from mental health and emergency care, we will discuss how these approaches can reveal unmet needs, inform decisions, and support more equitable care.