Optimizing data management for improvement masterclass

In quality improvement, we are constantly looking for ways to turn data into knowledge to inform action. Whether you are using data downloaded from your electronic health record, extracted via chart review or collected through a survey, the proper collection, management, interpretation and presentation of data is crucial to improvement science. Applying fundamental principles in data management facilitates its use by making it easier to describe, retrieve and analyze. This masterclass will combine short theory bursts with numerous examples and exercises to help participants develop rigorous data management skills, including creating data dictionaries, setting up longitudinal datasets and storing/retrieving data. These skills will support the creation of run and control charts, as well as more advanced evaluative approaches used in quality improvement.

Date and time:

• Tuesday, November 1 – 1-5 p.m. ET

Cost:

• $400 – non-members
• $300 – CQUIPS+ members (25% discount!)

Speakers:

Brian Wong is a staff general internist at Sunnybrook Health Sciences Centre and served as CQuIPS Associate Director, Sunnybrook Site, from 2013 to 2019. Dr. Wong received his MD and subsequent specialty training in General Internal Medicine at the University of Toronto. After completing his residency training in 2007, he undertook a research fellowship in patient safety funded by the Canadian Health Services Research Foundation. In his role as CQuIPS Associate Director, he co-led both the Certificate Course and EQUIP and worked with academic departments at the University of Toronto to establish criteria to recognize QI and PS activities for the purposes of academic promotion. Outside of Toronto, he has worked with several national and international organizations, including the Royal College of Physicians and Surgeons of Canada, Choosing Wisely Canada, the Canadian Patient Safety Institute, and the Association of American Medical Colleges, to establish training programs and standards to build QI and patient safety capacity across the learning continuum.

Dr. Joseph Kim is a staff nephrologist in the Division of Nephrology and Director of the Kidney Transplant Program at the Toronto General Hospital, University Health Network. He is also an Associate Professor in the Department of Medicine and the Institute of Health Policy, Management and Evaluation at the University of Toronto. He is the Vice Chair of the Medical Advisory Committee at the University Health Network, Chair of the Data System Working Group for the Organ Donation and Transplantation Collaborative at Health Canada, Past-President of the Board of Directors for the Canadian Society of Transplantation, Past-President of the Canadian Organ Replacement Register Board of Directors, and former Vice-Chair of the Data Advisory Committee at the U.S. Organ Procurement and Transplantation Network. Dr. Kim completed medical school, internal medicine residency, chief medical residency, and fellowships in nephrology and kidney transplantation at the University of Toronto. In 2008, he earned a PhD in epidemiology and a Master of Health Science in biostatistics at the Johns Hopkins Bloomberg School of Public Health. In 2020, he completed a Global Executive MBA for Healthcare and the Life Sciences at the Rotman School of Management, University of Toronto. Dr. Kim’s research interests include access to and outcomes of kidney transplantation using centre- and population-based cohorts and the optimal use of data to inform health system improvement. His methodological interests include survival analysis and statistical models for causal inference.