Overview

This unit develops students understanding for how artificial intelligence has already, or potentially can, transform health and health related outcomes in humans.

Requisites

Teaching periods
Location
Start and end dates
Last self-enrolment date
Census date
Last withdraw without fail date
Results released date
Semester 2
Location
Hawthorn
Start and end dates
03-August-2026
01-November-2026
Last self-enrolment date
16-August-2026
Census date
01-September-2026
Last withdraw without fail date
22-September-2026
Results released date
08-December-2026

Unit learning outcomes

Students who successfully complete this unit will be able to:

  1. Evaluate the application of artificial intelligence in healthcare, including its use in diagnosis, prognosis, treatment, drug approval, patient care and hospital optimisation.
  2. Evaluate the benefits, challenges, and limitations in using artificial intelligence and machine learning technologies in healthcare.
  3. Examine new opportunities where AI-powered solutions can transform healthcare by improving traditional healthcare frameworks to address unmet needs.
  4. Analyse and reflect on how artificial intelligence affects current and future healthcare roles.
  5. Apply suitable artificial intelligence decision frameworks, regulatory and ethical considerations, and risk management strategies in the implementation of artificial intelligence in healthcare settings.

Teaching methods

All applicable locations

Activity Type Activity Total Hours Number of Weeks Hours Per Week
Online Lecture 12 12 weeks 1
On-campus Class 24 12 weeks 2
Specified Activities Various 60 12 weeks 5
Unspecified Activities Independent Learning 54 12 weeks 4.5
Total Hours: 150 Total Hours (per week): 12.5

Assessment

Type Task Weighting ULOs
Assignment Individual 40% 2,3,4
Take home assessment Individual 40% 1,2,3,4,5
Online Quizzes Individual 20% 1,2,3,4

Content

  • Artificial Intelligence in healthcare
  • Artificial Intelligence prediction of the health status of an individual
  • Artificial Intelligence solutions in hospitals
  • Artificial Intelligence implementation in government health policy
  • Artificial Intelligence for disease diagnosis, management and prognosis
  • Graduate Attribute – Communication 2 - Communicating using different media
  • Graduate Attribute – Digital Literacies 1 - Information literacy

Study resources

Reading materials

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