Key Information

Course Price $125
Delivery Online
Duration 20 hours
Registration Now Open

About this course

Using health care data to guide and inform decisions has been more important than ever during the COVID-19 pandemic. Yet, it has also highlighted to many individuals and health professionals that there is a prevalent need to increase data literacy skills to be able to interpret data and statistics. In this course you will learn how to perform basic data analysis using descriptive statistics, learn how to select the best format to present your data, and improve your ability to interpret data visualisations. You will also learn ways data can be used to gather community insights, analyse emerging health trends, formulate and share predictions, and assist health professionals to make evidence-based recommendations.

How you will learn

This course is fully online and self-paced, allowing you to study when it’s convenient for you. As a general guide, we recommend allocating 20 hours of study time to complete this course. Learning content includes interactive activities, short videos, and reading resources to help guide your knowledge. Participants will need to complete a short quiz and practical data analysis activities in MS Excel to receive their Certificate of Completion. Your access to the learning material will also remain open for 6 months after registration.

Who should do this course?

This course is designed for anyone who wishes to learn about how health data is collected and analysed. This course is particularly useful for individuals and health professionals who want to understand how health statistics can be interpreted and basic analysis methods.

What you will learn

  • Critical evaluation of the theory, principles and processes of digital health that support health, including data and information, technology, governance, and policy.

  • Critique complex healthcare problems from a digital health perspective.

  • Justify the local, national and global impacts of digital health on complex healthcare environment.

  • Apply critical inquiry to social, political, environmental, and economic scenarios related to digital health.

Dr Kerryn Butler-Henderson

Dr Kerryn Butler-Henderson is the Associate Professor of Digital Health, where she oversees digital health curriculum integration across all health programs and provides leadership in the postgraduate eHealth program. She is internationally recognised for her research expertise in digital health workforce and capabilities, leading several funded research projects. Professionally, Kerryn holds several national and international positions, including President Elect of the International Federation of Health Information Management Associations and Director of the Australasian Institute of Digital Health.

Mary Lam

Mary is health data scientist who has a background in bioinformatics, health informatics and health information management. Her expertise is the linkage, management and analysis of large-scale health system datasets.