Sessional Lecturer MHI2009H: Evaluation Methods for Health Informatics

CUPE Local 3902 (Unit 3) Job Posting

 

Sessional Lecturer Position

 

Posting Date: April 21, 2025

 

Program: Executive Master of Health Informatics (eMHI)

 

Sessional dates of appointment: Fall 2025 September to December

Course title: MHI2009H: Evaluation Methods for Health Informatics  

 

Course Description:

 

In a rapidly evolving digital health landscape, traditional evaluation often comes too late to make a difference. This course flips the script — focusing on how evaluation thinking can be embedded from the beginning to design better systems, support adaptive decision-making, and maximize impact.

Students will learn how to define success early, build feedback loops into system design, and use real-time evidence to iterate during implementation. Rather than treating evaluation as an endpoint, we explore it as a strategic tool for learning, alignment, and course correction.

Through real case studies, students will practice designing performance measures, identifying leading indicators of failure or success, and shaping project architecture to support continuous learning. We’ll cover simple tools like driver diagrams, logic models, and usability testing — all grounded in the realities of clinical practice, policy environments, and technology development.

Learning Objectives (Reframed to Fit Your Vision):

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

  • Apply design-based thinking to define success metrics and stakeholder value from project inception.
  • Build feedback loops that allow digital health systems to adapt in real-time, rather than wait for end-stage evaluation.
  • Use early indicators and rapid-cycle methods (e.g., usability testing, small pilots, usage data) to inform ongoing improvement.
  • Align evaluation approaches with project strategy, stakeholder incentives, and implementation realities.
  • Create practical evaluation-informed designs that anticipate failure points, reduce risk, and increase the likelihood of adoption and scale.

 

Qualifications:

 

  • A PhD or Masters level education with recent experience in clinical and health informatics, preferably in the areas of ICT adoption, implementation, and evaluation;
  • A robust understanding of clinical/clinician work processes, as influenced by health informatics and related technology;
  • Past teaching experience related to health informatics, preferably at the graduate level;
  • Prior experience in curriculum development and adult teaching-learning methods;
  • Comfortable with electronic teaching tools such as Learning Management Systems (e.g., Canvas), PowerPoint, as well as on-line collaboration tools (Blogs, Wikis, Discussion Boards, Webinars, or Video-conferencing).

 

 

Class schedule: Weekly

 

Estimated enrolment: 100

 

Estimated TA support: based on enrolment - None

 

Duties:

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


Salary: Commensurate with experience

 

How to submit an 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 ihpme.mhi.program@utoronto.ca

 

 

Closing Date: May 22, 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

 

 

All qualified candidates are encouraged to apply; however, Canadians and permanent residents will be given priority.

Diversity Statement

The University of Toronto embraces Diversity and is building a culture of belonging that increases our capacity to effectively address and serve the interests of our global community. We strongly encourage applications from Indigenous Peoples, Black and racialized persons, women, persons with disabilities, and people of diverse sexual and gender identities. We value applicants who have demonstrated a commitment to equity, diversity and inclusion and recognize that diverse perspectives, experiences, and expertise are essential to strengthening our academic mission.

As part of your application, you will be asked to complete a brief Diversity Survey. This survey is voluntary. Any information directly related to you is confidential and cannot be accessed by search committees or human resources staff. Results will be aggregated for institutional planning purposes. For more information, please see http://uoft.me/UP.

Accessibility Statement

The University strives to be an equitable and inclusive community, and proactively seeks to increase diversity among its community members. Our values regarding equity and diversity are linked with our unwavering commitment to excellence in the pursuit of our academic mission.

The University is committed to the principles of the Accessibility for Ontarians with Disabilities Act (AODA). As such, we strive to make our recruitment, assessment and selection processes as accessible as possible and provide accommodations as required for applicants with disabilities.

If you require any accommodations at any point during the application and hiring process, please contact uoft.careers@utoronto.ca.


Job Segment: Medical, Informatics, Public Health, Curriculum Development, Curriculum, Healthcare, Technology, Education