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Using clinical health data for better healthcare
  • Level Foundation
  • Duration 16 hours
  • Course by The University of Sydney
  • Offered by

About

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.

Modules

Welcome and introduction to the course

    • 1 Videos
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1 Videos

  • Welcome and introduction

Digital health environments - an overview

    • 6 Videos
    • 4 Readings
    • 1 Discussion
    • 3 Assignment
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3 Assignment

  • Five ways digital health data is changing healthcare - Change to attitudes
  • Data driven care - your context
  • Vision for digital health and data analytics

1 Discussions

  • Introduce yourself and your health context

6 Videos

  • 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

4 Readings

  • 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

Readings

    • 1 Readings
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1 Readings

  • Module 1 readings

Module 2 Introduction

    • 1 Videos
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1 Videos

  • Introduction to Module 2

The data life cycle and stakeholder roles

    • 7 Videos
    • 2 Readings
    • 1 Discussion
    • 4 Assignment
Show info about module content

4 Assignment

  • Practice: Overview of the data life cycle
  • Practice: Dimensions of quality data
  • Data governance and privileges
  • Terminology and key concepts for interpreting data

1 Discussions

  • Data quality - experiences and impacts

7 Videos

  • 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

2 Readings

  • Activity: Data governance and privileges
  • Terminology and key concepts for interpreting data

Readings

    • 1 Readings
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1 Readings

  • Module 2 readings

Module 3 Introduction

    • 1 Videos
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1 Videos

  • Introduction to Module 3

Health data analysis

    • 7 Videos
    • 2 Readings
    • 1 PeerReview
    • 3 Assignment
Show info about module content

3 Assignment

  • Practice: Types of analytics
  • Data tools
  • Data analysis task

1 Peer Review

  • Compose a data query

7 Videos

  • 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

2 Readings

  • Data tools
  • Data analysis task - instructions and worksheet

Readings

    • 1 Readings
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1 Readings

  • Module 3 readings

Module 4 Introduction

    • 1 Videos
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1 Videos

  • Introduction to Module 4

Communicating health data

    • 7 Videos
    • 1 Readings
    • 1 Discussion
    • 1 Assignment
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1 Assignment

  • Data Visualisation – Making data meaningful

1 Discussions

  • Medicine as data science

7 Videos

  • 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

1 Readings

  • Data Visualisation – Making data meaningful

Readings

    • 1 Readings
Show info about module content

1 Readings

  • Module 4 readings

Course wrap-up

    • 1 Videos
Show info about module content

1 Videos

  • Course wrap-up

Auto Summary

Embark on a transformative journey into the future of healthcare with the course "Using Clinical Health Data for Better Healthcare." This foundational course in the Health & Fitness domain is designed to equip learners with essential skills in health data analytics, emphasizing the pivotal role of data quality in delivering safe and effective healthcare. Under the expert guidance of Coursera, participants will delve into the intricacies of digital health technologies, exploring the lifecycle of health data from generation to analysis. The course provides a comprehensive overview of the best practices needed to extract meaningful information from digital health systems, enhancing evidence-based decision-making and improving health outcomes. Learners will acquire a robust understanding of key health data concepts and terminology, the importance of data integrity, and the evolving roles of healthcare professionals in digital environments. Practical skills in basic data analysis, visualization, and communication of health data will be honed, enabling participants to apply these methods to real-world healthcare scenarios. This course features contributions from prestigious institutions including the Digital Health Cooperative Research Centre, Australian Digital Health Agency, eHealth NSW, and the University of Sydney, among others. Through collaborative efforts, the course offers rich, diverse learning resources applicable across various health service contexts. Ideal for current and aspiring health professionals, this 960-hour course is available through Coursera with flexible subscription options: Starter and Professional. Whether you're looking to enhance your skills or pivot to a new role in the evolving digital health landscape, this course is your gateway to mastering the use of clinical health data for better healthcare outcomes. Join us and be at the forefront of the digital health revolution, equipped with the knowledge and tools to make a significant impact in the healthcare industry.

Tim Shaw
Instructor

Tim Shaw