UBC Data Science and Health CPD 2021
November 9, 2021, 12:00 pm to 4:30 pm
The Data Science and Health Cluster (DASH) invites you to our 2nd annual Data Science and Health Conference
**Please note that the registration has been CLOSED and online modules are no longer available.**
Building on momentum from last year's Data Science and Health CPD event, this year’s theme will focus on Impact and Lessons Learned from the COVID-19 Pandemic.
The Data Science and Health Continuing Professional Development event is designed to address the need for healthcare providers to improve their understanding of current data science concepts related to healthcare research, and how to optimally integrate data science into the delivery of care. We are hoping to craft a program that serves as an accessible introduction to data science for clinicians while reflecting on lessons learned from the COVID-19 response.
*Registration is free for students and residents. For promotion codes, please complete our Student and Resident Registration Form.
*We have a limited number of tickets available for non-students/trainees who require financial support for registration. Please leave your contact information here.
Data Science and Health CPD 2021: Impact and Lessons Learned from the COVID-19 Pandemic
November 9th, 2021 | 12pm - 4:30pm (PST) | Virtually through Zoom
Through a series of invited talks and discussions, our speakers will explore data science concepts related to health care research, while reflecting on lessons learned from the COVID-19 response.
12:00pm – 1:00pm
Data-Driven Decision Making
Speaker: Dr. Muhammad Mamdani
Speaker: Andy Tai
Speaker: Dr. Stephen van Gaal
1:00pm – 2:00pm
Learning about COVID-19
Speaker: Dr. Kim McGrail
Speaker: Dr. Al Ozonoff
Speaker: Dr. Adeera Levin
2:00pm – 2:15pm
2:15pm – 3:15pm
Ethical and Social Implications of Data Science
Speaker: Dr. Caroline Colijn
Speaker: Dr. Apurva Narayan
3:15pm – 4:15pm
Building a Learning Health System: How has COVID-19 moved us forward?
Speaker: Dr. Alan Rabinowitz
Speaker: Dr. Ehsan Karim
Speaker: Dr. David Patrick
Speaker: Dr. Richard Lester
4:15pm – 5:00pm
Wrap up & Virtual Networking Session
DR. MUHAMMAD MAMDANI
Dr. Mamdani is Vice President of Data Science and Advanced Analytics at Unity Health Toronto. Dr. Mamdani’s team bridges advanced analytics including machine learning with clinical and management decision making to improve patient outcomes and hospital efficiency. He 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.
ANDY MAN YEUNG TAI
Andy is a MSc student in Neuroscience, studying with Prof. Michael Krausz with UBC's Addiction and Concurrent Disorders Group. As a response to the overdose crisis, the Addiction and Concurrent Disorders Group, proposed to utilize collected healthcare-related data from the British Columbia Centre for Disease Control to model fatal overdose and elucidate risk factors of overdose that can be addressed among the drug using population.
DR. STEPHEN VAN GAAL
Dr. van Gaal is a staff neurologist in Vancouver Coastal Health and the Vancouver Stroke Program. His interest lies in strategies for cost-effective assessment of patients with suspected stroke. He is currently organizing an observational study of emergency-department based CT angiography in the evaluation of suspected transient ischemic attack. Dr. van Gaal is also assisting with an observational study of the suitability of the Los Angeles Motor Scale for prehospital triage of suspected stroke.
DR. KIM MCGRAIL
Dr. McGrail is a Professor in the UBC School of Population and Public Health and Centre for Health Services and Policy Research, Director of Research for UBC Health, and Scientific Director of Population Data BC and Health Data Research Network Canada. Her research interests are quantitative policy evaluation and all aspects of population data science. Dr. McGrail also participated as a member of the Canadian Institute for Advanced Research Task Force on AI4Health in 2019-2020.
DR. AL OZONOFF
Dr. Ozonoff is Associate Professor of Pediatrics at Harvard Medical School, faculty scientist within the Division of Infectious Diseases at Boston Children's Hospital, and Adjunct Associate Professor of Biostatistics at the Boston University School of Public Health. His scientific research is focused on development and application of surveillance methods in the fields of public health, healthcare quality, and patient safety. This includes public health surveillance, especially infectious disease surveillance, as well as hospital-based surveillance, with emphasis on patient safety and healthcare quality.
DR. ADEERA LEVIN
Dr. Levin is a Professor of Medicine, Head Division of Nephrology at the University of British Columbia, and Consultant nephrologist at Providence Health Care/St Paul’s Hospital. She is active in international activities across the spectrum of kidney education, research and administrative activities, and advocates for patient rights to equitable access to care and prevention of exploitation of vulnerable populations. Her major research interests include CVD in CKD patients, variability in the progression of CKD and optimal models of care.
DR. CAROLINE COLIJN
Dr. Colijn is a Professor in the Department of Mathematics at Simon Fraser University. Dr. Colijn's work is at the interface of mathematics and the epidemiology and evolution of pathogens. She holds a Canada 150 Research Chair in Mathematics for Evolution, Infection and Public Health. Her team develops mathematical tools connecting sequence data to the ecology and evolution of infections. She also has a long-standing interest on the dynamics of diverse interacting pathogens, and is building new approaches to analyzing and comparing phylogenetic trees derived from sequence data.
DR. APURVA NARAYAN
Dr. Narayan is an Assistant Professor in the School of Engineering at UBC Okanagan. Dr. Narayan's current research focuses on data mining, data analytics, and machine learning in the context of safety, security and understanding complex Cyber Physical Systems. He is currently interested in developing models for reverse engineering complex software systems. He is also interested in developing interpretable/explainable machine learning models. These models could be used for anomaly detection, specification mining, cyber-physical system security, and other applications.
DR. RICHARD LESTER
Dr. Richard Lester completed his research fellowship in HIV in Kenya, where he initiated development of an innovative mobile phone health (mHealth) service that was demonstrated in a landmark trial, WelTel Kenya1 (Lancet 2010), to improve HIV outcomes funded by the US Center for Disease Control and Prevention (CDC) and the President’s Emergency Plan for AIDS Relief (PEPFAR). Dr. Lester has ongoing studies internationally and within Canada, has consulted on mHealth innovations with the World Health Organization for HIV, TB & tobacco control, and is a CIHR Foundation Scheme recipient and Michael Smith Foundation for Health Research Scholar.
DR. ALAN RABINOWITZ
Dr. Rabinowitz is a co-founder and Chief Medical Officer at PHEMI Systems, a cardiologist, former Director of the Coronary Care Unit, and Clinical Associate Professor in the Division of Cardiology, St Paul’s Hospital, University of British Columbia. He has co-developed data-driven partnerships in precision and translational medicine that have the potential to enhance mechanistic insights into disease causation with the ambition of positively affecting the wellness of patients and populations on a global scale. Dr. Rabinowitz has advisory roles with the Royal College of Physicians and Surgeons of Canada in innovation and implementation science, The Rural Coordination Center of BC, and the St Paul’s Hospital Redevelopment Project.
DR. EHSAN KARIM
Dr. Karim is an Assistant Professor at the UBC School of Population and Public Health, a Scientist & a Biostatistician at the Centre for Health Evaluation and Outcome Sciences (CHÉOS), and a Michael Smith Foundation for Health Research (MSFHR) Scholar. His current program of research focuses on developing causal inference and pharmacoepidemiological methodologies, and applications of data science approaches in the large healthcare data analysis context to answer real-world comparative effectiveness research questions.
DR. DAVID PATRICK
Dr. Patrick is an infectious diseases specialist and epidemiologist with a career interest in responding to emerging infectious diseases. He has published on a range of topics including HIV epidemiology, impacts of immunization on population health and vector-borne and zoonotic disease, and has become quite involved in responding to the epidemic of COVID-19. His current focus is on the broad effort to contain the threat of antimicrobial resistance in Canada and around the world.
The Data Science and Health CPD will be delivered in three parts. Through registration, all participants will have access to the Data Science and Health Canvas Course, and the Impact and Lessons Learned from the COVID-19 Pandemic seminar on November 9th.
Data Science and Health Course
Available on Canvas late October 2021
Learn all about data science from the ground up, and explore health research and delivery applications with UBC experts at your own pace!
Join us on Canvas for complimentary course content and online presentations from UBC data scientists and health researchers. This series is designed to provide participants with a basic introduction to data science and analytics for an enhanced understanding of its present applications. The course will be made available through Canvas starting late October 2021 to allow self-paced learning and self-evaluation, as well as ongoing access to resources, discussion boards, and a community of learners. Participants will have 1-year access to all Canvas material, more information and course content can be found here.
Data Science and Health Workshop Series
Engineering Perspective - November 24th, 2021 | 4-5 pm
This workshop will cover the basics of AI and its potential and limitations to address clinical problems. We'll cover necessary inputs and feasible outcomes while clarifying what AI can and can't do. You'll leave this workshop with an understanding of AI's capabilities and limitations and what's required to collaborate on an AI project. Learn more here.
November - January 2022
To build momentum in our community and help the transition from learning about data science to doing data science, we have partnered with the Biomedical Imaging and AI cluster to develop an ongoing workshop series focused on building collaborative research partnerships between clinicians and data scientists. Partner with engineers to apply what you’ve learned and move your data science project forward.
*The views, information, and opinions expressed during Data Science and Health 2021 are solely those of the speakers and do not necessarily represent those of the DASH Cluster.
Enrolling in our Canvas course will provide access to our live Zoom event and following workshops as they become available. Canvas materials will open in late October and will be freely accessible to our registrants for a year.
Registration is free for students and residents. For promotion codes, please complete our Student and Resident Registration Form.
The University of British Columbia Division of Continuing Professional Development (UBC CPD) is fully accredited by the Committee on Accreditation of Continuing Medical Education (CACME) to provide study credits for continuing medical education for physicians. This event is an Accredited Group Learning Activity (Section 1) as defined by the Maintenance of Certification Program of the Royal College of Physicians and Surgeons of Canada, and has been approved by UBC CPD for up to 9.0 MOC Section 1 Group Learning credits. This program meets the certification criteria of the College of Family Physicians of Canada and has been certified by UBC CPD for up to 9.0 Mainpro+ Group Learning credits. Each physician should claim only those credits accrued through participation in the activity.