Education

Bachelor of Radiation Sciences (Informatics)

This degree equips you with a critical understanding of medical radiation science, IT systems and data management – so you can lead IT-based innovations in health.

Seizing valuable opportunities to immerse in the latest technology, you'll:

• learn how to use data visualisation and medical imaging software, design databases in Oracle and code Java applications
• delve deep into the science behind medical radiation physics, image processing and radiation treatments
• understand and apply sound programming practices and security controls
• discover the best management tools and techniques for IT projects.

Digital Health in the FIT Postgraduate IE Program

As of 2020, the Digital Health (DH) program is collaborating with the long-standing, highly-regarded Faculty of IT Postgraduate Industry Experience Program. This partnership gives graduate IT students the opportunity to work on DH initiatives as their capstone project – with guidance from both IT and health industry mentors. As a result, students gain fantastic insights into what a career in DH looks like while addressing real-world problems.

Digital Health Curriculum

The Faculty of Medicine, Nursing and Health Sciences, Faculty of Pharmacy and Pharmaceutical Sciences, and Faculty of Information Technology at Monash have collaborated on a new digital health curriculum for all health professional students. By using a curriculum framework and establishing common education needs, digital health is now being integrated across many health professional degrees in a consistent yet tailored way.

The new curriculum is led by the Professor of Digital Health and Director of Collaborative Care. It expands on the existing Collaborative Care Curriculum Framework to prepare all health graduates for the digital health future.

Specialised Master's Degree in Health Data Analytics

For many years, the School of Public Health and Preventive Medicine (SPHPM) at Monash has played a central role in the education and research around traditional health data domains, such as epidemiology and biostatistics.

SPHPM is now partnering with the Faculty of Information Technology to create a new course specialising in health data analytics. This course will combine traditional teaching areas with those more computationally aligned – including topics like machine learning, algorithm design and artificial intelligence.

This new joint course is expected to launch in either late 2020 or early 2021.

RAD5106: Medical imaging data management and health informatics

In this unit, students examine the opportunities and challenges faced by health services when it comes to introducing new technical solutions as part of their patient-centred care.

A range of relevant information and communication technologies, such as Picture Archive and Communication Systems, Radiology Information Systems, Clinical Decision Support and Electronic Patient Records, and supporting hardware infrastructure are introduced to teach students the ways these can support software applications in healthcare. Students will also explore a practice-based project and change management principles, and discover how they can be applied to advanced medical radiation practice.

FIT3180: Data management for health informatics

Students in this unit will learn about the role of information and communication technologies, systems and hardware infrastructure that underpins the delivery of modern digital health services. This is complemented by case studies of Picture Archive and Communication Systems, Electronic Patient Record, Clinical Decision Support Systems and Radiology Information Systems, as well as an overview of other health-related software application concepts such as medical classification schemas/ontologies and medical data interoperability standards.

New data analytics and artificial intelligence approaches will be reviewed in practical sessions to examine how they can transform modern healthcare. Students will also explore project and change management issues, and learn how they impact efficiency in the medical practice.