Assistant Professor

Karim Keshavjee

Health informatics consultant and professor - Health Informatics

MSc, MD, MBA

Location
University of Toronto
Research Interests
AI, Modeling, Real-World Application, Data Governance, Ai Governance, Randomized Controlled Trials, Disease Predication, Disease Prevention, Electronic Medical Records, Clinical It Architecture.

I am a Family Physician with over 25 years of experience designing, developing and implementing Electronic Health Records/Electronic Medical Records and helping clinicians use them effectively.

I am currently working on architecting a scalable and sustainable technology system that will help us prevent diabetes cost-effectively. Diabetes prevention is feasible, but is not cost-effective. I believe an engineered solution could change things dramatically.

In previous projects, I have architected and evaluated two clinical decision support tools using randomized controlled trials with McMaster University through their COMPETE studies.

I am interested in applying research findings to clinical care by improving provider productivity (increasing the quality of the work we do, while decreasing costs) and by improving patient outcomes and experiences in health care. I believe that health system efficiencies are likely to arise from moving those two levers in the health care system.

My publications are focused on the design of systems that can achieve the two goals of increased provider productivity and improved patient outcomes. My practice is focused on implementing, testing and validating the systems I help design. I am particularly interested in scalability and sustainability of the technologies we design and deploy.