AI in Healthcare¶
A 12-week postgraduate curriculum for health practitioners examining Artificial Intelligence in contemporary healthcare.
This curriculum is designed for Australian healthcare, with particular emphasis on aeromedical retrieval—providing a lens for examining AI in high-stakes, time-critical, and resource-constrained environments.
Course Sections¶
| Section | Weeks | Focus | Core Question |
|---|---|---|---|
| Foundations | 1-3 | AI architecture, algorithms, data | What is this? |
| Evaluation | 4-6 | Safety, ethics, regulation | Should we use it? |
| Application | 7-9 | Implementation, governance, monitoring | How do we govern it? |
| Synthesis | 10-12 | Current landscape, future directions | What comes next? |
Learning Outcomes¶
Upon successful completion, students will be able to:
- Explain AI Architecture - Analyse core components, algorithms, and models in healthcare AI
- Evaluate AI Safety - Assess challenges, risks, and ethical implications in clinical settings
- Implement AI in Healthcare - Apply best practices for safe and effective integration
- Analyse Emerging Technologies - Investigate current applications and predict future advancements
Assessments¶
| Assessment | Weight | Due |
|---|---|---|
| Technical Foundations Analysis | 25% | Week 4 |
| Critical Evaluation Report | 35% | Week 8 |
| Capstone Project | 40% | Week 12 |
Getting Started¶
- Complete the Pre-course Orientation for Google Colab setup
- Review the Unit Overview
- Begin with Week 1: Introduction to AI in Healthcare
Practical Computing Stream¶
Hands-on exercises using Google Colab - no programming experience required.
Licensed under CC BY-NC-SA 4.0. Contributions welcome via GitHub.