CUPE Local 3902 (Unit 3) Job Posting

Emergency Posting - Sessional Lecturer Position

Posting Date: May 6, 2025

Program: Quality Improvement and Patient Safety (QIPS)

Sessional Dates of Appointment: Summer 2025, June 1-30

Course Title: HAD4000H-F- Design, Innovation and AI: Exponential Improvement

Course Description

Healthcare systems are making concerted efforts to enhance quality, manage population health, and reduce costs using quality improvement tools to enhance their services. However, the scale and complexity of challenges necessitate innovative approaches to change that enable organizations to develop, adopt, and scale successful innovations rapidly in the face of an unpredictable future.

In this course we will explore future oriented human-centered design capabilities that will equip students with design led approaches to healthcare improvement. We will start with an in-depth exploration of the expectations, best practices, and impact of the innovation lab within the context of Ontario’s health system and local challenges. Students will gain insights from the experiences of global leaders in quality, innovation, and AI. Students will apply these insights in class, participate in an innovation lab case and explore the foundational elements of Machine Learning (ML) in healthcare including how to critically appraise its clinical applications.

Learning Objectives

By the end of the course, students will be able to:

1. Explain the concepts of design and innovation.

2. Describe the role of design in the context of health innovation.

3. Articulate what design-led innovation is intended to achieve.

4. Build a design-led innovation lab.

5. Evaluate machine learning (ML)-based solutions for clinical applications.

6. Analyse the critical issues to be considered in the clinical deployment of ML solutions.

Instructor Qualifications

• PhD or Masters level education or related field;
• Significant experience in quality improvement in health care, preferably with leadership, implementation, patient safety and risk as well as extensive evaluation experience including corporate operations and oversight up to Board level;
• Comfortable with electronic teaching tools such as Learning Management Systems (e.g., Quercus), PowerPoint, as well as on-line collaboration tools (Blogs, Wikkis, Discussion Boards, Webinars, or Video-conferencing).
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Duties:

• Course instructor for a professional graduate course using competency-based learning and assessment methods.
• Responsible for course delivery and assessment of student outcomes. Must be accessible to students outside of class hours.
• Available evenings and weekends.

Course Description Details: https://ihpme.utoronto.ca/course/modern-methods-in-qi/

Salary: Commensurate with experience

Application: Please send your CV and cover letter, outlining additional value you will bring to teaching the course via e-mail to ihpme.appointments@utoronto.ca and christine.shea@utoronto.ca

Closing Date: May 8, 2025

This job is posted in accordance with the CUPE 3902 Unit 3 Collective Agreement. 

Preference in hiring is given to qualified individuals advanced to the rank of Sessional Lecturer II and Sessional Lecturer III in accordance with Article 14:12.

Candidates who are members of Indigenous. Black, racialized and 2SLGBTQ+ communities, persons with disabilities, and other equity-deserving groups are encouraged to apply, and their lived experience shall be taken into consideration as applicable to the position