We invite you to join us at the inaugural Data Science and Health 2020 Continuing Professional Development course. This event is MOC1/Mainpro+ accredited and will be the first of a series of annual conferences on this topic. We are excited to launch this new forum, designed to address the needs of health care providers to help improve their understanding of current data science concepts in health care research, and how to optimally integrate data science and digital health into the delivery of care. Register here!
- 1-year access to online presentations beginning late October 2020 from leading UBC data scientists and health researchers for self-paced learning on Canvas.
- A companion virtual event featuring live keynotes and interactive panel discussions, with a focus on audience engagement. The event will take place on November 03, 2020 12:00 pm – 3:00 pm via Zoom.
- Access to workshop series in collaboration with the Faulty of Applied Sciences to help keep the momentum going. Partner with engineers to apply what you’ve learned and move your data science project forward.
To maximize the opportunities for interaction we have focused our live Zoom event on two keynote presentations, panel discussions with experts, and opportunities for participants to ask questions. All supporting lectures will be delivered through the online learning platform, Canvas, to allow self-paced learning and self-evaluation, as well as ongoing access to resources, discussion boards, and a community of learners. To build momentum in our community, and help the transition from learning about data science to doing data science, we have partnered with the Faculty of Applied Science to develop an ongoing workshop series focused on building collaborative research partnerships between clinicians and data scientists.
Canvas online learning:
- Data Science: What is it?
- Introduction and broad overview, terminology, impact, and applications in health research and clinical care.
- Artificial Intelligence
- Machine Learning
- Deep Learning
- Natural Language/Signal/Image Processing
- Data Science: How do you do it?
- Basics of Statistics
- Basics of Programming
- Orientation to R and Python
- Data strictures
- Flow control
- Program design relevant to data exploration and analysis
- Algorithms and Data Structures
- How to choose appropriate approaches to solve data science problems
- Accessing Computing Resources:
- Compute Canada, UBC ARC Sockeye, UBC Cloud Innovation Centre
- Data Science: How do you speak the language?
- Learn how data scientists:
- Present and interpret data science findings
- Write, speak, and think, so you can build effective collaborations
- Data Science: How do you use it in health research?
- Cardiac echo and Artificial Intelligence
- MS, MRI, and Deep Learning
- Emergency Medicine and Digital Health
- Personalized Oncogenomics
- Opening Remarks
- Dr. Anita Palepu, Head, Department of Medicine, UBC
- Dr. Douglas Kingsford, Chief Medical Informatics Officer, BC Ministry of Health
- Dr. Helia Mohammedi, Chief Data Scientist, Canadian National Healthcare, Microsoft
- “Data Science: How do you do it?” Panel
- Dr. Ehsan Karim, Professor and Data Scientist, School of Population and Public Health, UBC
- Dr. Firas Moosvi, Professor, Master of Data Science, UBC
- Dr. Raymond Ng, Director of Data Science Institute/Founder Master of Data Science
- Dr. Tiffany Timbers, Professor, Master of Data Science, UBC
- “Data Science: How do you apply it in health research?” Panel
- Dr. Thalia Field, Division of Neurology, Department of Medicine, UBC
- Dr. Kendall Ho, Department of Emergency Medicine, UBC
- Dr. Marco Marra, Department of Medical Genetics, UBC
- Dr. Roger Tam, Department of Radiology, UBC
- Dr. Teresa Tsang, Division of Cardiology, Department of Medicine, UBC
- “Data science in health research and innovation” Breakout room
- Dr. Rich Lester, CEO, WelTel
- Dr. Evgeni Loukipoudis, CTO, BC Digital Supercluster
- Dr. Tibor van Rooij, BCCH Digital Innovation Scientist
- Dr. Maryam Sadeghi, CEO, Medoptima
- “Data science in health care management and delivery” Breakout room
- Dr. Giane Gutiw, VP Analytics, AI and Machine Learning, CGI
- Dr. Aline Talhouk, Director of Data Science and Informatics, OVCARE
- Dr. Kim McGrail, Scientific Director, PopDataBC
- November 2020 – Engineering Perspectives: Meet engineers and learn how data science, artificial intelligence, and machine learning have been used to develop solutions in the health care sphere.
- December 2020 – Clinical Perspectives: Share the clinical challenges you face and get insight on potential data science solutions from a team of engineers focused on health applications.
- January 2020-21 – Monthly Workshops: Clinicians will be matched with engineers to develop data science solutions to health care challenges. Monthly meetings with mentors and peers will help keep projects on track, enable knowledge sharing, and build collaborative links between our health care and engineering communities.
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 7.5 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 7.5 Mainpro+ Group Learning credits. Each physician should claim only those credits accrued through participation in the activity.
CFPC Session ID#: 192485‐001