In this webinar, Dr. Abbas Zavar will present Personalized Medicine, defined as delivering the right clinical intervention—whether diagnostic, preventive, or therapeutic—at the right time, for the right individual. You will learn about the principles of Personalized Medicine and its importance in shifting healthcare from a one-size-fits-all model to a more individualized approach. This approach leverages advanced clinical data sciences, genetic information, and patient-specific data to create tailored healthcare plans that optimize outcomes.
The session will then focus on the prevention aspect of Personalized Medicine, highlighting how early identification and intervention, based on a detailed understanding of individual risk factors, can significantly improve health outcomes.
A brief overview of the Preventive Assessment Tools (PAT) project will be provided, showcasing a research initiative to develop a suite of tools designed to assess risk factors across various health domains. These tools integrate lifestyle, environmental, clinical, and SDoH data to map risk factors to potential diseases, providing a holistic view of a patient's health profile.
Additionally, the role of AI in this approach will be discussed, demonstrating how AI can analyze large datasets, identify patterns, and provide actionable insights that support personalized prevention strategies, ultimately leading to more precise and effective healthcare interventions.
Finally, to ensure a robust foundation for personalized preventive care, Dr. Zavar's white paper, which explores the integration of diverse data domains—including health-related, biomarkers, lifestyle-related, and environmental—will address the required data for this comprehensive approach.
Presented by:
Dr. Abbas Zavar is a pioneering physician and digital health leader with over two decades of experience in medicine and health information technology. His career encompasses clinical practice, digital health consulting, and program management, showcasing his tech-savvy expertise and unwavering commitment to transforming healthcare.
Abbas holds a Doctorate of Medicine (MD), a Master’s in Public Health (MPH), and a Master’s in Health Informatics (MHI) from the University of Toronto. His proficiency in clinical data sciences, Augmented Intelligence (AI), and clinical decision support systems (CDSS) enriches his academic foundation.
Abbas is a staunch advocate for the Personalized Medicine (PM) approach, which he defines as delivering the right clinical intervention—diagnosis, prevention, and treatment—to the right individual at the right time. He champions this vision across various roles in the community:
- Researcher: Leading several research projects, Abbas explores PM’s features and challenges with a passion for creating a ‘PM Ecosystem’ utilizing advanced clinical data sciences, AI, Machine Learning, predictive analysis, knowledge management, and clinical business intelligence.
- Leader: As the Digital Health Lead at OntarioMD, he evaluates and supports implementing AI-enabled solutions for community-based clinicians, ensuring alignment with the PM approach.
- Educator: Abbas imparts his knowledge through teaching roles in various Canadian universities and colleges (University of Toronto and George Brown College), mentoring International Medical Graduates (IMGs) and Internationally Educated Health Professionals (IEHPs) as they enter the Canadian digital health sector.
- Advocate: He presents these concepts and PM aspects at various conferences, symposiums, and through publications, sharing his insights and advancements in the field.
Earn One Continuing Education Unit (CEU) for attending this webinar. Content from the webinar aligns with Core Health Informatics Topics: The Canadian Healthcare System, Information Technology, Analysis and Evaluation
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