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Sessional Lecturer MHI1001H - Information and Communication Technology for Health Care

 

CUPE Local 3902 (Unit 3) Job Posting

Sessional Lecturer Position

Posting Date: May 2, 2025

Program: Master of Health Informatics (MHI)

Sessional Dates of Appointment: Fall 2025, September to December

Course Title: MHI1001H - Information and Communication Technology for Health Care

 

Course Description (Updated)

 

This course introduces the foundational concepts of digital infrastructure in healthcare, tailored for students from health sciences backgrounds with limited formal experience in information technology. Through hands-on learning and real-world case studies, students will explore the digital building blocks that enable modern healthcare delivery.

Topics will include cloud computing, APIs, HL7 FHIR interoperability standards, cybersecurity and privacy in healthcare, artificial intelligence and machine learning basics, and the role of modern user interfaces in health applications. The course emphasizes practical understanding of how these technologies underpin digital health systems and enable innovation in care delivery, data sharing, and patient empowerment.

 

Learning Objectives (Updated)

 

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

 

  • Describe how cloud platforms and modern APIs enable secure, scalable health service delivery.
  • Engage in informed discussions about the architecture of emerging digital health tools (e.g., virtual care platforms, AI-enabled clinical decision support).
  • Apply system modeling techniques to propose and critique ICT-enabled healthcare workflows.
  • Assess the benefits and risks of interoperability, privacy, and security mechanisms in real-world healthcare settings.
  • Use common digital health tools and standards, including FHIR and SNOMED CT, to explore system design.

 

Instructor Qualifications (Updated)

  • Graduate-level training (Master’s or PhD) in Health Informatics, Computer Science, Biomedical Informatics, or a related field.
  • Demonstrated expertise in one or more of the following: digital health system architecture, healthcare data standards (e.g., HL7 FHIR, SNOMED CT), cybersecurity, or AI in health applications.
  • Experience teaching or mentoring at the graduate level, with a focus on interdisciplinary learning.
  • Familiarity with modern teaching methods, including flipped classrooms, digital labs, and real-time collaboration platforms (e.g., Miro, Slack, GitHub, or Zoom breakout activities).
  • Proficiency with digital learning environments (e.g., Quercus or other LMS platforms), and creating interactive, media-rich content.

 

Duties:

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

 

Course Description Details: https://ihpme.utoronto.ca/academics/pp/mhi/handbook/course- descriptions/#MHI1001

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 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.


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