
Overview
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.
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, 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.
This Using clinical health data for better healthcare offered by Coursera in partnership with The University of Sydney is a collaborative venture between NSW Health, the University of Sydney and the Digital Health Cooperative Research Centre, including dedicated resources from eHealth NSW, Health Education and Training Institute, and the Research in Implementation Science & eHealth group.
While many learning resources and case examples are drawn from the NSW Health service context, this course has relevance for all existing and future health workforce, regardless of role or work context.
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Visit programme websiteProgramme Structure
Courses include:
- Digital health
- Everyone plays a role in health data
- Interpret health data - turn information into new insights
- Share and integrate data into practice
Check out the full curriculum
Visit programme websiteKey information
Duration
- Part-time
- 1 months
- 5 hrs/week
Start dates & application deadlines
Language
Delivered
Disciplines
Public Health Health Administration Health Sciences View 123 other Short Courses in Health Sciences in United StatesExplore more key information
Visit programme websiteWhat students do after studying
Academic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
We are not aware of any English requirements for this programme.
Other requirements
General requirements
- Beginner level
- No previous experience necessary
Make sure you meet all requirements
Visit programme websiteTuition Fee
-
International
FreeTuition FeeBased on the tuition of 0 USD for the full programme during 1 months. -
National
FreeTuition FeeBased on the tuition of 0 USD for the full programme during 1 months.
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Funding
Coursera provides financial aid to learners who cannot afford the fee. Apply for it by clicking on the Financial Aid link beneath the "Enroll" button on the left. You’ll be prompted to complete an application and will be notified if you are approved.