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Hybrid. Course will be live to both the in-person and online participants approximately 9:00am-3:00pm (Montreal time) each day May 29 – May 31, 2024. All content will be recorded and accessible to participants until July 1, 2024.
The health care industry is at the threshold of a massive disruption that is increasingly catalyzed by the COVID-19 pandemic. The scope of change and transformation brought about by innovations is unprecedented. Wearables and Internet of Things (IoT) enabled platforms have improved remote patient monitoring and monitoring for wellness. Smart Applications (Apps) have demonstrated evidence of improved linkages and retention of patients in care, expanded access to unreached populations, improved documentation of health-related metrics and overall engagement in health care. Machine learning has improved prediction. 3D modeling and 3D printing have generated a blueprint for changes in drugs, devices, prosthetics, and hearing aids. High-value care (convenient, targeted, personalized, efficient, and cost-saving) is available for the billions with access to the internet. Convergence of sorts of many exciting innovative developments in parallel is being accelerated by the prolongation of the COVID-19 pandemic.
Note May 27th: Enrollment is closed for this course.
This course will cover topics in digital health and machine learning as they relate to connected Internet-of-things solutions, machine learning solutions, predictive analytics, meta-verse, digital twins, connected diagnostics, and challenges/successes faced in the integration of digital health solutions. Participants will learn evidence generation with these solutions and industry perspectives on how these solutions are poised to create a massive disruption in healthcare delivery in the years to come.
Content will cover a wide variety of topics from population health/preventative medicine to clinical medicine/virtual health and telemedicine. We will also showcase clinical decision support systems with algorithms to Metaverse based immersive experience. Students will learn about the novel innovations, evaluations, and implementation evidence, and discuss challenges & barriers to scale-up, and sustainability.
The course format includes a mix of plenary talks, engaging panel discussions, and showcases innovative products and services from innovators, industry, academics, data analysts, and health care organizations.
Nitika Pant Pai, MD, MPH, PhD
Associate Professor, Department of Medicine, ƻԺ
Divisions of Clinical Epidemiology, Experimental Medicine & Infectious Diseases.
Center for Outcomes Research and Evaluation, MUHC Research Institute
Faculty are still being confirmed and there may be changes to the above list.
This course appeals to a wide range of participants including:
Limited to 100 online participants and 75 in-person participants.