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Transforming Healthcare with Data and AI (COMP90094)
Graduate courseworkPoints: 12.5Online
About this subject
Contact information
Semester 1
Semester 2
Overview
| Availability | Semester 1 - Online Semester 2 - Online |
|---|---|
| Fees | Look up fees |
The power of data analytics and artificial intelligence (AI) is being applied in health care to inform and redesign processes that improve the quality of care, enhance patient-centred care, and increase value-based care. This subject explores the strategic integration of data insights to drive this transformation in health care organisations. Participants will learn fundamental principles, methodologies, and applications of data analytics and AI in the context of data-driven decision-making in health care.
This subject will enable students to reflect on the data science foundations, practical tools and applications, human and organisational factors, governance and implementation of a health service digital transformation project. Students will understand how to effectively use digital patient data to accurately define problems and develop answerable questions. These concepts will be taught through the lens of a real-world digital health intervention case studies, and students will develop a pitch for their dream data project, culminating in students critically appraising a data process at their organisation.
Intended learning outcomes
On completion of this subject, students should be able to:
- Appraise the benefits, limitations, and challenges of implementing emerging healthcare solutions in data analytics and artificial intelligence
- Translate clinical project questions into achievable and answerable clinical data requests that generate appropriate datasets
- Assess their current data skills to determine which areas require further development to progress their skills and projects in the future
- Demonstrate an understanding of foundational data concepts including healthcare infrastructure, digital phenotyping, governance, workflow processes, data sources, collection, standards, preparation, and analysis
- Illustrate how to translate insights from data to improve clinical practice, derived through computable and shareable knowledge
Generic skills
- Have the ability to demonstrate advanced independent critical enquiry, analysis and reflection
- Reach a high level of achievement in writing, research or project activities, problem-solving and communication
- Be critical and creative thinkers, with an aptitude for continued self-directed learning
- Be able to examine critically, synthesise and evaluate knowledge across a broad range of disciplines
- Have a set of flexible and transferable skills for different types of employment
- Be able to initiate and implement constructive change in their communities, including professions and workplaces.
Last updated: 26 November 2025