Safe and effective use of Artificial Intelligence (AI) technologies in healthcare
This microcredential will empower you with the knowledge to safely and effectively use or support the use of Artificial Intelligence (AI) technologies in healthcare. It aims to provide you with a rich understanding of the different types of AI technologies being used in healthcare today, exploring the organisational and human factors that facilitate adoption of these technologies, and provides a foundational understanding of clinical governance of AI and how emerging products like ChatGPT4 present unique challenges in this space.
The online course runs for six weeks, which will include two hours of lectures and one hour of tutorial time each week. You will also have access to curated resources to support generation of new knowledge and be provided with hands on experience using different AI products.
Course delivery method
The online course runs for six weeks, which will include two hours of lectures (Mondays 2-4pm) and one hour of tutorial time (Thursdays 4-5pm) each week.
Module One | Introduction to Artificial Intelligence
In this module learners will be provided a high-level overview to what artificial intelligence is and will be introduced to key terminology to talk about the field effectively. The module will then present some examples of how AI technologies are being used in different healthcare settings.
By the end of the module learners will be able to:
- Define key concepts and terminology about Artificial Intelligence.
- Describe examples of how artificial intelligence technologies have been implemented in healthcare to date.
Module Two | AI Case Study: Generative AI and Large Language Models
In this module learners will be undertaking a deep-dive into one branch of Artificial Intelligence: Generative AI. Generative AI products are those that allow users to input text, image and other data and can subsequently provide an output like an answer to a question or a new image. Learners will be provided an introduction to what Generative AI is, and the strengths and weaknesses of the technology will be discussed. The module will then explore the emerging role of Generative AI products in healthcare, and reflect on how they may be transformative to the sector in future.
By the end of the module learners will be able to:
- Describe examples of how Generative AI is being used in healthcare.
- Demonstrate an understanding of some of the barriers and enablers to routine adoption of Generative AI in clinical workflows.
Module Three | AI Case Study: Computer Vision
In this module learners will be undertaking a second case study about a branch Artificial Intelligence called Computer Vision. Computer Vision products enable computers to identify and understand objects, particularly images, and use that information to replicate or support human capabilities. The module will provide learners a more detailed introduction to the field, before specifically investigating the adoption of Computer Vision systems in health care.
By the end of the module learners will be able to:
- Describe examples of how Computer Vision is being used in healthcare.
- Demonstrate an understanding of some of the barriers and enablers to routine adoption of Computer Vision in clinical workflows.
Module Four | Lessons Learned from Healthcare AI Implementation
This module will take a bigger-picture look at Healthcare AI, by exploring different frameworks from implementing these technologies routinely into clinical practice. Learners will about a number of examples of Artificial Intelligence products that have been successfully adopted into health care organisations. Throughout the module these examples will be a used to reflect on some of the challenges organisations face implementing these products into practice, and how some of those challenges can be overcome.
By the end of the module learners will be able to:
- Describe examples of different Artificial Intelligence technologies that have been implemented into routine practice in health care organisations.
- Understand some of the key challenges implementing Artificial Intelligence into routine practice in health care.
Module Five | Healthcare AI Ethical, Legal and Governance Considerations
This module will discuss some of the ethical, legal and governance considerations using AI products in health services. Learners will be presented with an introduction to some common ethical challenges created by AI products. The module will then provide an overview of the legal and regulatory frameworks that govern AI products internationally and how Australian legislation fits within those. Finally, learners will have a chance to hear about clinical governance of Healthcare AI and how the different challenges it creates for traditional governance models.
By the end of the module learners will be able to:
- Describe the key legal frameworks that govern Artificial Intelligence technologies in healthcare;
- Understand how to apply different ethical and governance frameworks to evaluate these technologies.
Module Six | Human Factors and Healthcare AI
This module will introduce learners to the field of Human Factors, and provide them with a framework for how Human Factors principles can improve adoption of Healthcare AI. Human Factors is the study of how environmental, organisational, job and individual factors influence behaviours in the workplace. Learners will be shown how these myriad of systemic factors interact to enable or hinder adoption of disruptive technologies such as Artificial Intelligence.
By the end of the module learners will be able to:
- Critically evaluate the role of individual, organisational and systematic factors in the sustained adoption of Artificial Intelligence in healthcare.
Additional Course Information
For terms and conditions, please view here