HAD5772H
Introduction to Statistics for Health Systems Research
HSR1001H
Qualitative Methods 1
Foundation Models for Kawasaki Disease Diagnosis and Management
Overview: Kawasaki disease is the leading cause of acquired heart disease in children, with potentially devastating cardiac consequences including coronary artery aneurysms. The disease presents significant clinical challenges: delayed diagnosis is common due to non-specific early symptoms, treatment response is […]
Lead: Cedric Manlhiot
Wearable Technology for Personalized Cardiac Monitoring
Overview: Adolescents with congenital heart disease are at risk of decline in cardiac function that can follow unpredictable time courses, from sudden deterioration to gradual progression. Current clinical scheduling relies on fixed intervals with minimal individualization, leading to suboptimal timing […]
Lead: Cedric Manlhiot
ICAI2N: AI-Powered Clinical Decision Support for Pediatric Cardiac Care
Overview: Children with congenital heart disease face significant risks during hospital stays, with unplanned ICU readmissions occurring in 4-20% of pediatric cardiac patients, rates are substantially higher than the general pediatric population. These deterioration events lead to increased length of […]
Lead: Cedric Manlhiot
Pablo Galvez-Hernandez
Lina Neves-Mera
How Involuntary Hospitalizations Impact Post-Discharge Access to Care for Transgender and Gender Diverse Patients: A Mixed Methods Study
Transgender and gender diverse (TGD) people face systemic discrimination that increases their risk of mental illness and psychiatric hospitalization. Our previous research using Ontario health administrative data (at ICES) found that TGD patients were less likely to follow up with […]
Lead: June Lam
Affiliates: Paul Kurdyak
Equitable Uptake and Appropriate Use of Technologies for Adults with Type 1 Diabetes
Advanced diabetes technologies like insulin pumps and continuous glucose monitoring devices are the most effective tools to help people manage life with type 1 diabetes. These technologies prevent life-limiting and expensive complications and should be readily accessible to all who […]
Lead: Alanna Weisman
Affiliates: Lorraine L. Lipscombe, Rayzel Shulman
Partnerships for Evaluation and Policy Research
This collaboration with the Ontario Ministry of Health (MOH) relies on using real-time administrative data and cutting-edge quasi-experimental and econometric/causal inference methods to identify the effects of health policies on health outcomes for Ontarians, and to suggest alternative policies to […]
Lead: Audrey Laporte
Affiliates: Boriana Miloucheva, Alex Hoagland
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Marielle Boutin
Email Address: ihpme.communications@utoronto.ca