There is a more recent version of this academic item available.

Overview

Digital transformation in healthcare is here. Be a part of it. Digital innovation is transforming our lives. Finance, manufacturing, retail and automotive industries have been revolutionised by artificial intelligence, big data and the Internet of Things - healthcare is next. Electronic health records, real-time data harvesting, wearable devices and mHealth … For more content click the Read more button below. Demand for professionals who can design, develop, implement and manage leading digital health technologies and innovations is booming. La Trobe's Master of Digital Health was developed to give you the specialised knowledge and skills to meet this demand. You'll learn:Big Data in health and the Internet of Medical Things (IoT) Gain an understanding of the Big Data and IoT landscape in health and explore how it can be applied in real-world applications.Health Informatics & Virtual models of care Explore the design, development and implementation of digital health solutions and how they're used to provide healthcare that is accessible, equitable, affordable and effective.Trends in digital health Examine the applications of current and upcoming digital health innovations along with the impact on roles and responsibilities of healthcare professionals, patients and technical specialists.Health communication in the digital age Discover how digital platforms can be used as powerful tools for quick and effective health communication and develop fundamental skills to communicate strategically and effectively in the digital age.Strategic digital transformation of health Investigate maturity & organisational readiness to embark on digital transformation journey, developing a strategy and roadmap for digital health implementations.

Portfolio

Office of the Provost

Course coordinator

Urooj Raza Khan

Location(s)

Melbourne (Bundoora)

CRICOS code

102427B

Course instance contact

Urooj Raza Khan

Course duration (full time)

1 year

Study level

Postgraduate

AQF level

Level 8 - Graduate Diploma

Available only as an exit award

Yes

Study options

Domestic

International onshore

Completion requirements

To qualify for the award of Graduate Diploma in Digital Health, students must complete 120 credit points consisting of:120 core credit points

Course intended learning outcomes

On successful completion you will be able to:
1.
Apply advanced analytical and problem-solving skills to complex issues in digital health evidence-based practice
2.
Apply principles and key concepts in the design, development, implementation, and management of contemporary digital health solutions.
3.
Critically analyse and interpret health-related data and technical information to present conclusions clearly
4.
Participate in the research and innovation cycle to improve health care by initiating, applying and evaluating digital health solutions
5.
Critically evaluate the use of digital health technologies to enhance clinician/consumer experience, patient care and safety, and to improve outcomes
6.
Critically analyse digital health trends to address current and emerging needs within the healthcare ecosystem and community.

Career outcomes

As the healthcare system becomes increasingly digitally enabled, future professionals will require additional skills to practise at the interface of healthcare and digital technologies. This trend also creates new career opportunities; possible options include:

  • Digital health Consultant
    •  Explore healthcare problems/needs to identify & codesign strategic technological solutions engaging a variety of stakeholders.  
  • Digital health Officer/Coordinator
    •  Manage and deliver digital health projects to facilitate organisational digital transformational journey and digital change.
  • Digital health transformation professional
    •  Investigate organisational digital maturity and readiness to embark on digital transformation journey, building its strategy and delivering based on its roadmap.
  • Health data analytics professional
    •  Analyse and evaluate health-related data to deliver optimal care management in a variety of healthcare settings.