QI Innovations Conference 2023
Better Data – Better Decisions – Better Outcomes
April 18, 2023
About the Conference
Regardless of where you are there are lessons to be learned and things that were learned “the hard way” to achieve better outcomes. This year’s QI Innovations conference will explore four themes related to the ‘data journey’:
- Getting Started: What Do I Do with All This Data?
- Adjusting: Data Exhaustion Strategies and Learnings
- Progressing: Telling Your Data Story and Engagement in QI, and
- Contribution to the System
This conference is for mental health and addiction providers and system planners who are interested in data driven decision making and quality improvement. This one-day virtual event will offer networking opportunities, poster presentations, concurrent sessions, wellness activities and more! Watch this space for exciting conference updates!
Conference participants will increase their knowledge of:
- How to use the data they collect from standardized tools for quality improvement
- How other community mental health and addiction organizations (or integrated care systems like Ontario health Teams) are leveraging existing data to improve care
- The linkage between local data, performance management and system priorities
The Excellence through Quality Improvement Project (E-QIP) is pleased to deliver this conference in partnership with Ontario Health, the Knowledge Institute on Child and Youth Mental Health and Addictions and the Centre for Addiction and mental Health (CAMH.)
Muhammad Mamdani, MPH, MA, PharmD
Dr. Mamdani is Vice President of Data Science and Advanced Analytics at Unity Health Toronto and Director of the University of Toronto Temerty Faculty of Medicine Centre for Artificial Intelligence Education and Research in Medicine (T-CAIREM). Dr. Mamdani’s team bridges advanced analytics including machine learning with clinical and management decision making to improve patient outcomes and hospital efficiency. Dr. Mamdani is also Professor in the Department of Medicine of the Temerty Faculty of Medicine, the Leslie Dan Faculty of Pharmacy, and the Institute of Health Policy, Management and Evaluation of the Dalla Lana Faculty of Public Health. He is also adjunct Senior Scientist at the Institute for Clinical Evaluative Sciences (ICES) and a Faculty Affiliate of the Vector Institute, which is a leading institution for artificial intelligence research in Canada.
Dr. Mamdani holds a Doctor of Pharmacy degree from the University of Michigan, a fellowship in pharmacoeconomics from the Detroit Medical Centre, a Master of Arts degree in econometric theory from Wayne State University, and a Master of Public Health from Harvard University with a focus on statistics and epidemiology. He has previously been named among Canada’s Top 40 under 40. Dr. Mamdani’s research interests include pharmacoepidemiology, pharmacoeconomics, drug policy, and the application of advanced analytics approaches to clinical problems and health policy decision-making. He has published over 500 studies in peer-reviewed healthcare journals.
Details Coming Soon!