The University of Sydney - Using clinical health data for better healthcare
- Offered byCoursera
Using clinical health data for better healthcare at Coursera Overview
Duration | 15 hours |
Start from | Start Now |
Total fee | Free |
Mode of learning | Online |
Difficulty level | Beginner |
Official Website | Explore Free Course  |
Credential | Certificate |
Using clinical health data for better healthcare at Coursera Highlights
- Shareable Certificate Earn a Certificate upon completion
- 100% online Start instantly and learn at your own schedule.
- Flexible deadlines Reset deadlines in accordance to your schedule.
- Beginner Level
- Approx. 15 hours to complete
- English Subtitles: French, Portuguese (European), Russian, English, Spanish
Using clinical health data for better healthcare at Coursera Course details
- 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.
- This course 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, you will be able to:
- 1. Identify digital health technologies, health data sources, and the evolving roles of health workforce in digital health environments
- 2. Understand key health data concepts and terminology, including the significance of data integrity and stakeholder roles in the data life cycle
- 3. Use health data and basic data analysis to inform and improve decision making and practice.
- 4. Apply effective methods of communication of health data to facilitate safe and quality care.
- During this course, you will interact with learning content contributed by:
- ? Digital Health Cooperative Research Centre
- ? Australian Digital Health Agency
- ? eHealth NSW
- ? Sydney Local Health District
- ? The NSW Ministry of Health
- ? Health Education and Training Institute
- ? Clinical Excellence Commission
- ? Chris O?Brien Lifehouse
- ? Monash Partners / Australian Health Research Alliance
- ? Australian Research Data Commons
- ? Justice Health & Forensic Mental Health Network
- ? South Eastern Sydney Local Health District
- ? Western Sydney Local Health District
- ? Westmead Breast Cancer Institute
- ? Agency for Clinical Innovation
- ? Western NSW Local Health District
- ? Sydney Children?s Hospital Network
- This course 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.
- Note: Materials used are for learning purposes and content may not reflect your organisation?s policies. When working with data, make sure you act within the guidelines and policies of your organisation.
Using clinical health data for better healthcare at Coursera Curriculum
An introduction to digital health
Welcome and introduction
Introduction to Module 1
Five ways digital health data is changing healthcare
Data driven care: turning data from a personal health journey into actionable information
Do healthcare professionals really need to know data analytics?
The potential of health data to drive healthcare transformations: Digital Health CRC
Module 1 conclusion
Article and instructions for quiz: 'Five ways digital data is changing health care'
Data driven care - video and infographic
Worksheet and instructions for activity: Data driven care - your context
Activity: Vision for digital health and data analytics
Module 1 readings
Five ways digital health data is changing healthcare - Change to attitudes
Data driven care - your context
Vision for digital health and data analytics
Everyone plays a role in health data
Introduction to Module 2
What is health data? An introduction to health data classification
Overview of the data life cycle
Quality health data: What is it and why is it important?
What happens when we get it wrong? The impact of poor data quality
Data governance and privileges
Terminology and key statistical concepts for interpreting data
Module 2 conclusion
Activity: Data governance and privileges
Terminology and key concepts for interpreting data
Module 2 readings
Practice: Overview of the data life cycle
Practice: Dimensions of quality data
Data governance and privileges
Terminology and key concepts for interpreting data
Interpret health data - turn information into new insights
Introduction to Module 3
From information to insight ? Overview of analytics impacting healthcare
Key steps in the analysis of health data
Make sense of a data report
Everyday data queries common to decision making in healthcare
Carry out a simple (guided) health data analysis task
Top tips for your analytics journey
Module 3 conclusion
Data tools
Data analysis task - instructions and worksheet
Module 3 readings
Practice: Types of analytics
Data tools
Data analysis task
Share and integrate data into practice
Introduction to Module 4
Make data meaningful: Best practice for the communication of health data
Use of data visualisations for collaborative decision making
Collaborating around data for healthcare improvement
Sharing data for research purposes
Case example: Digital health tools powered by shared health data Digital Health Co-operative Research Centre and Lorica Health
Case study: Real time data use. Pascal Metrics Project, NSW Health
Module 4 conclusion
Course wrap-up
Data Visualisation ? Making data meaningful
Module 4 readings
Data Visualisation ? Making data meaningful
Using clinical health data for better healthcare at Coursera Admission Process
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