韩国裸舞

Digital Health | June 2-4, 2025

鈥淭he course was very helpful. It gave clear insights on the trend of digital health in the world and where studies are lacking for researchers.鈥�

-Digital Health course participant

COURSE FORMAT

Online only. Course will be live to both the in-person and online participants approximately 9:00 AM-3:00 PM (Montreal time) each day June 2鈥�4, 2025. All content will be recorded and accessible to participants until July 1, 2025.

DESCRIPTION

The health care industry is evolving鈥攊ts scope of change and transformation, driven by digital innovations and AI, at an unprecedented pace. SmartApps, web platforms, wearables, and Internet of Things (IoT) solutions have generated evidence in bridging service delivery gaps, enabling remote patient monitoring, and promoting wellness. There is growing evidence that these technologies can expand access to underserved populations and to improve documentation of health-related and improve overall engagement in healthcare. Machine learning has improved prediction, and HIPAA and blockchain technologies have improved security. Large language models are demonstrating potential to expedite research and improve the efficiency of health service delivery. 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-efficient) is now available for the billions with access to the internet. With these exciting innovations converging alongside advancements in other industries, one question remains: Is it enough?

CONTENT

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.

COURSE DIRECTOR

Nitika Pant Pai, MD, MPH, PhD
Associate Professor, Department of Medicine, 韩国裸舞
Divisions of Clinical Epidemiology, Experimental Medicine & Infectious Diseases.
Center for Outcomes Research and Evaluation, MUHC Research Institute

OBJECTIVES

• Identify exemplars of digital health innovations implemented globally and discuss the implementation at scale and sustainability of promising digital health innovations.
• Convene discussions on data harmonization and governance, data access, sharing, and ownership to inform the direction of future practice, policy.
• Discuss funding initiatives for big data and digital health.
• Explore how to generate evidence in support of innovations for future implementation.
• Discuss key areas in digital health and machine learning.

TARGET AUDIENCE

This course appeals to a wide range of participants including:

• Innovators,聽entrepreneurs, industry and product developers
• Students, trainees, fellows
• Researchers and academics
• Clinicians, Clinical Administrators, Healthcare Organizations CIO, CTO, CDO, CDGHO
• Funders and public health agency officials
• Patient advocates and clinical champions
• Non-profit organizations and foundations

ENROLMENT

Limited to 100 online participants.聽