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Sessional Lecturer MHI1002H: Complexity of Clinical Care for Non-Clinicians

 

 

 

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: MHI1002H: Complexity of Clinical Care for Non-Clinicians

 

Course Description:

 

In Complexity of Clinical Care, the implications and practical application of the outputs of AI and Machine learning are discussed in class, and in select assigned readings. This class provides an overview of how clinicians can use the outputs of these methods to benefit clinical care. Students complete an assignment where they shadow a clinician and learn about some of the clinical challenges and questions

experienced by the clinician. In a final assignment, students propose solutions to these observed challenges and questions. These solutions may require AI and/or machine learning methods.
 

Objectives:

 

Upon successful completion of the course, the students will be able to:

  • Enhance understanding of the structure and function of the Canadian healthcare system and roles of various health professionals.
  • Improve awareness and understanding of the complexity of clinical data collection, processing, management, and use, throughout the patient/consumer-health professional encounter.
  • Understand the culture of healthcare, and how culture may influence care delivery and information processing by health professionals across settings.
  • Increase awareness of health professionals’ experience with information systems and barriers to successful adoption.
  • Appreciate the interaction among organizational processes, information sharing and impact on care delivery and health professionals experience in various clinical care settings.
  • Enhance understanding of the powerful role that informatics plays in clinical healthcare.

 

Course Details:

 

Class schedule: Weekly

Estimated enrolment: 60

Estimated TA support: based on enrolment - None

Qualifications:

  • A PhD or Masters level education clinician with experience in clinical and health informatics;
  • 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).

 

Duties:

  • Course co-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.

 

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.


Job Segment: Clinic, Curriculum Development, Information Systems, Public Health, Informatics, Healthcare, Education, Technology

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