Lowering Costs in Health Care:
Architecting Health Care for Diabetes Prevention

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Instructor: Dr. Karim Keshavjee
                   CEO, InfoClin; Medical Director, Aerus Technologies; Adjunct Professor, University of Toronto;
               Adjunct Assistant Professor, University of Victoria

What if we could predict who would get diabetes, long before they actually got it? What if we could provide high risk patients with training, support and counselling to prevent diabetes? What if we provided diabetes prevention services to elderly patients who already have other diseases?

If we could predict who will get diabetes, we could potentially improve the lives of thousands of patients and lower costs of managing diabetes, which is one of the fastest growing diseases in the world. In this session you'll learn about our efforts to improve our diabetes prediction algorithms, how we plan to scale up diabetes prevention to hundreds of thousands of patients across Canada and how we're building a platform to test mhealth apps that can help with diabetes prevention on a large scale.

Expected Outcomes

• Learn about a new architecture for preventing chronic diseases and for lowering costs in the healthcare system.
• Learn about Adaptive Trials and how mhealth apps can be tested rapidly in clinical practice
• Learn about ways to reduce costs in health care
• Learn about diabetes prevention interventions

Intended Audience

Anyone interested in improving patient outcomes and physician productivity in the community including primary care providers and specialists.