Evaluative Clinical Sciences
SRI platforms
Senior scientist
Sunnybrook Health Sciences Centre
2075 Bayview Ave., Room G 106
Toronto, ON
M4N 3M5
Administrative Assistant: Ashif Kachra
Phone: 416-480-4297
Fax: 416-480-6048
Email: ashif.kachra@ices.on.ca
Education:
- BA, 1984, Queen's University, Canada
- MD, 1988, Queen's University
- M.Sc., 1997, epidemiology and biostatistics, McGill University, Canada
- FRCPC, 1997, emergency medicine, University of Toronto, Canada
Appointments and Affiliations:
- Senior scientist, Evaluative Clinical Sciences, Integrated Community Research Program, Sunnybrook Research Institute
- Staff emergency physician, Sunnybrook Health Sciences Centre
- President and CEO, Institute for Clinical Evaluative Sciences (ICES)
- Senior scientist, ICES
- Professor, department of medicine, University of Toronto
- Professor, Institute for Health Policy Management and Evaluation, U of T
Research Foci:
- Emergency health service utilization and quality of care
- Emergency department overcrowding and patient safety
- Integration of health care among hospital, primary care and community-based providers
Research Summary:
Dr. Schull's research focuses on health service utilization, quality of care and patient outcomes as they relate to emergency care; and the study of interventions designed to reduce emergency department waiting times. His studies use administrative datasets and linkages with clinical data to examine the causes and consequences of emergency department overcrowding, variations in patient waiting times and prehospital care.
He is working with other researchers and health system decision-makers to evaluate policy interventions designed to reduce emergency department waiting times, and innovative ways to integrate health care between hospital and community providers. He practises as an emergency medicine specialist at Sunnybrook Health Sciences Centre in Toronto.
Selected Publications:
See current publications list at PubMed.
Related News and Stories:
- Do the Math: Researchers develop model to help determine which patients with heart failure are at risk of death in the short term (SRI Magazine, 2012)
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