Job Description

CUPE Local 3902 (Unit 3) Job Posting

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Sessional Lecturer Position

Posting Date: October 6, 2025



Program: Master of Health Informatics



Sessional Dates of Appointment: Winter 2026, January to April

Course Title: MHI2018H-S: Knowledge Management and Systems

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Course Description:

Health informatics professionals now manage knowledge supply chains, not only documents or data. This course examines knowledge management from a health system perspective and connects evidence, policy, clinical practice, and technology into continuous learning cycles. Students study how knowledge is created, curated, made computable, embedded in services and clinical systems, and improved through feedback.


Topics include foundations of knowledge in management and information systems, learning health systems, FAIR principles, computable guidelines, clinical decision support, knowledge graphs, social and collaborative knowledge work, and governance for safety, privacy, equity, and AI. Students apply modeling and analysis techniques to map knowledge flows, design service and system touchpoints, and plan operations for living evidence, change control, and benefits realization.

Objectives:

By the end of the course, students can: Analyze knowledge needs in clinical, public health, and administrative settings, including people, process, policy, data, and technology elements. Map knowledge flows with journey maps, service blueprints, and data lineage, and identify failure points, handoffs, and risks. Apply modeling techniques from information systems and service design to support organizational knowledge management. Explain core KM concepts and compare approaches from management, information systems, and learning health systems. Propose information technology solutions that meet KM needs, including repositories, collaboration platforms, CDS services, and analytics. Describe how ontologies and terminologies support KM, and sketch how to align concepts, data dictionaries, and indicators. Explain the role of computable knowledge, including guideline logic, data elements, and measures, and outline how it integrates with clinical systems. Design a lightweight governance plan that covers ownership, versioning, bias checks, safety, privacy, equity, and change control. Plan operations for living evidence and continuous updates, including monitoring signals, release notes, and service readiness. Outline how knowledge graphs and retrieval pipelines can improve findability, auditability, and decision support. Identify stakeholders across the health system, describe their knowledge needs, and plan engagement and adoption strategies. Define success metrics for KM, including use, quality, safety, equity, experience, and value.

Course Details:

Class schedule: Modular


Estimated enrolment: 66


Estimated TA support: based on enrolment - None

Qualifications:

A PhD or equivalent level of education with extensive experience in health information systems analysis and design, and data modeling;

A robust understanding of health informatics and information technology, big data analyses;


An extensive knowledge of eHealth landscape in Canada;


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., Quercus), PowerPoint, as well as on-line collaboration tools (Blogs, Wikkis, Discussion Boards, Webinars, or Video-conferencing)

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.

Salary:

Commensurate with experience

How to submit an application:

Please send your CV and cover letter via e-mail to ihpme.cupe.unit3@utoronto.ca.

Closing Date: October 27, 2025

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

It is understood that some announcements of vacancies are tentative, pending final course determinations and enrolment. Should rates stipulated in the collective agreement vary from rates stated in this posting, the rates stated in the collective agreement shall prevail.

Preference in hiring is given to qualified individuals advanced to the rank of Sessional Lecturer II or Sessional Lecturer III in accordance with Article 14:12 of the CUPE 3902 Unit 3 collective agreement.

Please note: Undergraduate or graduate students and postdoctoral fellows of the University of Toronto are covered by the CUPE 3902 Unit 1 collective agreement rather than the Unit 3 collective agreement, and should not apply for positions posted under the Unit 3 collective agreement.