Sessional Lecturer-mhi2002h Emergent Topics in - Toronto, Canada - University of Toronto

University of Toronto

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Toronto, Canada

3 weeks ago

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Sophia Lee

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Description

CUPE Local 3902
(Unit
3)
Job
Posting

Sessional Co-Lecturer Position

Posting Date:
August 30, 2023

Program:
_Masters_ of _Health Informatics_ _(MHI)_

Sessional dates of appointment:
_Winter_ _2024,_ _January_ -_ April_

Course
title:
MHI2002H:Emergent Topics in

Health Informatics:

Intelligent Medicine, Machine Learning and Knowledge Representation**:

Course
Description:

This course is designed for students to understand the issues associated with the use of data management technology and analytics solutions in the healthcare system.

This includes systems and technologies used to generate, harvest and store clinical data and methods used to create predictive models (including but not limited to methods associated with machine learning).

Furthermore, issues related to delivery of predictive analytics and implementation of algorithms in care settings along with clinical, business and ethical challenges will be explored.

In addition, an overview of the issues within the health industry that are driving the use of data, will be reviewed, including population health management, clinical decision support, and advanced research.

The goal is for students to be able to gain experience in the description, architecture and implementation planning of data infrastructure in the healthcare system along with providing a strong foundation in regard to analytics lifecycle and methods.

Objectives:

Students will enhance abilities to:

Describe and conceptualize data infrastructure used in the healthcare system, including classical and nonclassical sources of data and the technologies and methods used to harvest and store clinical data.
Utilize statistical and machine learning tools to create and validate predictive models and present analytics results using visualization tools.
Identify and problemsolve the organizational, clinical and ethical implementation challenges associated with predictive algorithms in healthcare.
Gain the ability to position data management and advanced analytics in the context of health system challenges and business models.

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 teachinglearning methods;
Comfortable with electronic teaching tools such as Learning Management Systems (e.g., Blackboard), PowerPoint, as well as online collaboration tools (Blogs, Wikkis, Discussion Boards, Webinars, or Videoconferencing).

Class schedule:
Modular Estimated enrolment: 70

Estimated TA support:
based on enrolment - None

Duties:

Course instructor for a professional graduate course using competencybased 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

Closing
date:

September
30, 2023**:

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._