To help transform the skillset and toolset of the healthcare community, the project team is creating three certificate programs for clinicians, leaders, and healthcare teams.
Meet our Program Lead
Bemnet Teferi is a Research Analyst in Education, Technology and Innovation at University Health Network. She is the Program Lead for the Clinician Champions and Leadership Accelerating AI Michener courses. Bemnet has a Master of Public Health in Social and Behavioural Health Sciences (Health Promotion) from the Dalla Lana School of Public Health at the University of Toronto. Bemnet is passionate about programs that identify the importance of health equity and digital compassion often revealed through systemic patterns. She has experience with curriculum development and has led several focus groups and evaluations on barriers to mental health help-seeking among youth and anti-Black racism and Black health in Canadian medical and health education.
To help transform the skillset of practicing clinicians, this eight (8)-week program provides a working knowledge of Artificial Intelligence (AI) and foundational skills for implementing AI into practice. At the end of the program, clinicians will complete a capstone project on an opportunity for AI within their team or organization.
Through this certificate program, clinicians will:
- Discover how different types of machine learning algorithms work including deep neural network, random forest, and logistic regression
- Recognize the value of clinical expertise for guiding data decisions and identifying potential biases
- Discuss the ethical implications of trade-off decisions and their impact on patient care
- Review frameworks and policies that guide AI projects and ethical and legal considerations
- Practice creating problem definition statements, mapping AI to clinical processes, and outlining data and decision considerations
- Evaluate machine learning models to determine suitability for clinical integration
- Justify decisions surrounding challenges related to bias and ethics, resource availability, data governance, and implementation
- Explore change management and stakeholder buy-in strategies
- Create a capstone report for an AI opportunity in your workplace to share with relevant stakeholders
To help transform the skillset of healthcare leaders, this three (3)-week program challenges leaders to exercise their decision-making skills as they pertain to AI through case studies and interactive expert talks. From the technologies themselves to the infrastructure, policies and procedures, financial plans, and workforce planning required to responsibly deliver AI, this course will prepare leaders through the fundamentals of AI models and the legal, ethical, and cyber security pillars to make adoption successful.
Through this certificate program, leaders will:
- Discuss guiding principles and measures of success for responsible AI implementation
- Interpret data from potential AI projects to make approval and priority decisions
- Evaluate the feasibility of different types of AI technology by considering budget, resource allocation, AI model efficacy, and engineering and infrastructure requirements
- Assess organizational and operational readiness for AI implementation
- Develop governance structures and processes for fair and secure AI implementation
- Consider the impact of AI on multiple stakeholders and the change management required for responsible adoption
Other Michener Programs
- Special Topics in the Digital Revolution: The Road to Artificial Intelligence in Health Care 101
Through this six (6)-week access course, anyone who is interested will learn about artificial intelligence in the Canada context, its effects on privacy and ethics in professional practices, and its impacts on educational and workplace environments.
- Artificial Intelligence Fundamentals Course
This 12-week online course provides an introduction to the discipline of artificial intelligence and will lay the groundwork for understanding AI. Starting with a brief history, it then discusses concepts and models required for learning how to apply AI with specific references to the healthcare environment.
- Artificial Intelligence in Health Care Certificate Program
Through this 15-month program, certified/regulated health care providers, IT professionals, and health care informatics professionals will acquire data science and analytic skills, learn how to implement AI solutions, and participate in creating an AI solution.
- Digital Health and Data Analytics Advanced Diploma
Through this two (2)-year program with practicums, professionals with a bachelor’s degree will develop a deep understanding of the key concepts, issues and challenges in digital health and data analytics, along with the ever-changing capabilities of AI and machine learning and the role they play in patient-driven healthcare and personalized medicine.
Master’s Programs Supported by Vector
- AI Master’s: Building Ontario’s Ecosystem
The Vector Institute maintains a list of master’s programs that meet its industry-focused requirements for AI skills and competencies. Vector also provides a scholarship and career support for students enrolled in those programs.
- Artificial Intelligence in Health Profession Education Journal Club, TIER, UHN
- Digital and AI Mental Health Certificate, camh
- CrashCourse: Artificial Intelligence
- CrashCourse: Statistics (the last quarter of videos focus on AI and machine learning)
- CrashCourse: Computer Science
Accelerating the Adoption of Artificial Intelligence in Healthcare is funded by the Government of Canada’s Future Skills Centre . Le projet est financé par le Centre des Compétences futures du gouvernement du Canada.