Michael J. Schull
Senior Scientist
Department of Emergency Medicine
Sunnybrook Research Institute, Sunnybrook Health Sciences Centre;Institute of Health Policy, Management and Evaluation, School of Public Health, University of Toronto;Institute for Clinical Evaluative Sciences;Department of Medicine, University of Toronto
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基本信息
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个人简介
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.
研究兴趣
论文共 325 篇作者统计合作学者相似作者
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Social Science Research Networkpp.1-11, (2024)
Noel Tsui,Sarah A. Edwards, Abigail J. Simms,Keith D. King,Graham Mecredy,Michael Schull, Joanne Meyer, Shelley Gonneville
CANADIAN JOURNAL OF PUBLIC HEALTH-REVUE CANADIENNE DE SANTE PUBLIQUE (2024)
Elise Leong-Sit, Sabella Yussuf-Homenauth, Jerome Johnson, Simisola Johnson, Jenny Kirk, Nicola Samuels, Laura Ferreira-Legere, Michael Campitelli,Michael J Paterson,Michael J Schull
Healthcare quarterly (Toronto, Ont.)no. 4 (2024): 6-9
Journal of the American College of Cardiologyno. 8 (2023): 361-361
P. Alison Paprica, Monique Crichlow, Donna Curtis Maillet,Sarah Kesselring,Conrad Pow, Thomas P. Scarnecchia,Michael J. Schull, Rosario G. Cartagena,Annabelle Cumyn, Salman Dostmohammad, Keith O. Elliston,Michelle Greiver,
INTERNATIONAL JOURNAL OF POPULATION DATA SCIENCE (IJPDS)no. 4 (2023): 2142-2142
Journal of the American Geriatrics Societyno. 12 (2023): 3731-3743
Circulation. Cardiovascular quality and outcomesno. 12 (2023): e010063-e010063
International Journal for Population Data Scienceno. 4 (2022)
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