Overview

This unit allows student to apply artificial intelligence to a real-world health related question. Working as a team, students will identify an appropriate project allowing for the implementation of an artificial intelligence solution.

Requisites

Prerequisites
HEA30013 Health Informatics
COS10022 Data Science Principles

HEA30013 Health Informatics

and
COS10022 Data Science Principles

Teaching periods
Location
Start and end dates
Last self-enrolment date
Census date
Last withdraw without fail date
Results released date

Unit learning outcomes

Students who successfully complete this unit will be able to:

  1. Evaluate how artificial intelligence applications can be used in a health setting
  2. Formulate decision frameworks to identify the best use of artificial intelligence for a given health question
  3. Design and implement an artificial intelligence solution for a health-related question, recognising limitations and ethical implications
  4. Critique and communicate the benefits, risks and equity implications of artificial intelligence models in health and care, including Indigenous data sovereignty, governance, digital bias, cultural safety and equitable access.
  5. Formulate a feasible and innovative artificial intelligence solution/outcome in response to a health-related question

Teaching methods

All applicable locations

Activity Type Hours Per Week Number of Weeks Total Hours Venue Type and Activity Detail
Online
Lecture		 1 12 weeks 12 Asynchronous lecture
On-campus
Workshop		 2 12 weeks 24  
Specified Activities 5 12 weeks 60 Readings, on-line learning and discussion board activities
Unspecified Activities 4.5 12 weeks 54 Independent study, assignment preparation, revision
TOTAL 12.5   150  

Assessment

Type Task Weighting ULOs
Assignment Individual  20% 2,4
Applied Project Individual/Group  40% 1,2,3,4,5
Project Report Individual  40% 1,2,4

Hurdle

As the minimum requirements of assessment to pass a unit and meet all ULOs to a minimum standard, an undergraduate student must have achieved:

Nil

Content

  • The use of artificial intelligence tools in multiple areas of health, such as drug discovery, patient response to treatment, monitoring and care 
  • Concepts that allow innovative solutions to leverage machine learning and artificial intelligence in health
  • How to design business strategies for implementing artificial intelligence solutions to healthcare-related business
  • Working as a team to investigate the use of artificial intelligence for a real-world health related question 
  • Exploring the legal and ethical implications of artificial intelligence solutions through peer review

Study resources

Reading materials

A list of reading materials and/or required textbooks will be available in the Unit Outline on Canvas.