Dr. Karim Keshavjee, Assistant Professor, Teaching Stream in Health Informatics, University of Toronto and CEO of InfoClin.
Karim trained as a Family Physician and is the CEO of InfoClin, a company that provides health informatics consulting to a variety of organizations across North America. He has over 25 years of progressive experience in health informatics.
Karim has co-authored several articles on artificial intelligence and machine learning for predicting who will develop diabetes in the future.
Karim’s current research is focused on how to use artificial intelligence and machine learning in the service of diabetes prevention through the PREVENT program.
Karim is an Assistant Professor at the University of Toronto and a Visiting Scholar at Ryerson University.
Day 1: Dec 2, 2020
Day 2: Dec 3, 2020
Primary Care Chronic Disease Surveillance System
Predictive Analytics in Practice: Strategies for Scaling Disease Prevention Through Better Analytics
The increased adoption of EMRs presents a major opportunity to scale predictive analytics to address multiple disease prevention treatments. With experience from working with type 2 diabetes, the implications for prevention algorithms are emerging. Take away practical solutions to:
- Build functional algorithms that can identify and flag at-risk patients to set up treatment prevention options at scale
- Address the implications of healthcare cost savings from predictive analytics
- Adopt a collaborative approach to partner with teams and researchers to build effective predictive models for disease prevention
Gain actionable insights into developing and deploying a predictive analytics program that improves patient health at scale.