MOOC delivered by The University of Sydney via Coursera
Digital health is rapidly being realised as the future of healthcare. While this is placing emphasis on the input of quality health data in digital records and systems, the delivery of safe and quality healthcare relies not only on the input of data, but also the ability to access and derive meaning from data to generate evidence, inform decision making and drive better health outcomes.
About this course
This massive open online course (MOOC) provides insight into the use of healthcare data, including an overview of best practices and the practical realities of obtaining useful information from digital health systems via the understanding of the fundamental concepts of health data analytics.
Learners will understand why data quality is essential in modern healthcare, as they are guided through various stages of the data life cycle, starting with the generation of quality health data, through to discovering patterns and extracting knowledge from health data using common methodologies and tools in the basic analysis, visualisation and communication of health data. In doing so, learners explore current healthcare delivery contexts, and future and emerging digital health data systems and applications that are rapidly becoming tomorrow’s reality.
On completion of this course
On completion of this course, you will be able to:
- Identify digital health technologies, health data sources, and the evolving roles of health workforce in digital health environments.
- Understand key health data concepts and terminology, including the significance of data integrity and stakeholder roles in the data life cycle.
- Use health data and basic data analysis to inform and improve decision making and practice.
- Apply effective methods of communication of health data to facilitate safe and quality care.
Flexible start and finish dates
Approximately nine hours to complete
You can find out more HERE.