About this Course
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지금 바로 시작해 나만의 일정에 따라 학습을 진행하세요.

유동적 마감일

일정에 따라 마감일을 재설정합니다.

초급 단계

완료하는 데 약 9시간 필요

권장: 5 hours/week...

영어

자막: 영어

100% 온라인

지금 바로 시작해 나만의 일정에 따라 학습을 진행하세요.

유동적 마감일

일정에 따라 마감일을 재설정합니다.

초급 단계

완료하는 데 약 9시간 필요

권장: 5 hours/week...

영어

자막: 영어

강의 계획 - 이 강좌에서 배울 내용

1
완료하는 데 4시간 필요

An introduction to digital health

This module explores current digital health environments, identifying the many uses of digital health technologies and health data sources. We look at the evolving roles of the health workforce in digital health environments, considering roles and responsibilities. The importance of data analytics for decision making and healthcare outcomes is introduced. 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.

...
7 videos (Total 27 min), 5 readings, 3 quizzes
7개의 동영상
Introduction to Module 12m
Five ways digital health data is changing healthcare8m
Data driven care: turning data from a personal health journey into actionable information3m
Do healthcare professionals really need to know data analytics?5m
The potential of health data to drive healthcare transformations: Digital Health CRC3m
Module 1 conclusion2m
5개의 읽기 자료
Article and instructions for quiz: 'Five ways digital data is changing health care'30m
Data driven care - video and infographic20m
Worksheet and instructions for activity: Data driven care - your context30m
Activity: Vision for digital health and data analytics1h
Module 1 readings45m
3개 연습문제
Five ways digital health data is changing healthcare - Change to attitudes20m
Data driven care - your context10m
Vision for digital health and data analytics10m
2
완료하는 데 4시간 필요

Everyone plays a role in health data

In this module, we review key health data concepts and terminology. We emphasise the importance of data integrity and the benefits and consequences of high or low quality data. We look at the data life cycle and the roles and responsibilities of all stakeholders in the provision of quality healthcare. There are some case studies illustrating the consequences of poor quality data and we also look at the fundamentals of digital health legislation and policy. 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.

...
8 videos (Total 42 min), 3 readings, 4 quizzes
8개의 동영상
What is health data? An introduction to health data classification 3m
Overview of the data life cycle5m
Quality health data: What is it and why is it important?6m
What happens when we get it wrong? The impact of poor data quality4m
Data governance and privileges 8m
Terminology and  key statistical concepts for interpreting data10m
Module 2 conclusion1m
3개의 읽기 자료
Activity: Data governance and privileges1h
Terminology and key concepts for interpreting data30m
Module 2 readings40m
4개 연습문제
Practice: Overview of the data life cycle10m
Practice: Dimensions of quality data15m
Data governance and privileges10m
Terminology and key concepts for interpreting data20m
3
완료하는 데 4시간 필요

Interpret health data - turn information into new insights

In this module, we look at the use of health data and basic data analysis to inform and improve decision making and practice. We explore some common methods and tools used in the analysis of health data. There is an opportunity to develop a data query and to practice working with data. 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.

...
8 videos (Total 44 min), 3 readings, 4 quizzes
8개의 동영상
From information to insight – Overview of analytics impacting healthcare 5m
Key steps in the analysis of health data4m
Make sense of a data report7m
Everyday data queries common to decision making in healthcare5m
Carry out a simple (guided) health data analysis task 14m
Top tips for your analytics journey3m
Module 3 conclusion1m
3개의 읽기 자료
Data tools10m
Data analysis task - instructions and worksheet30m
Module 3 readings10m
3개 연습문제
Practice: Types of analytics8m
Data tools20m
Data analysis task20m
4
완료하는 데 3시간 필요

Share and integrate data into practice

In the final module, we look at the various modes of communication appropriate for sharing the results produced by data analysis. We consider how effective communication of digital health data contributes to greater consumer engagement and well-being as well as more effective, evidence-based decision making within the healthcare system. 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.

...
9 videos (Total 40 min), 2 readings, 1 quiz
9개의 동영상
Make data meaningful: Best practice for the communication of health data7m
Use of data visualisations for collaborative decision making 7m
Collaborating around data for healthcare improvement3m
Sharing data for research purposes8m
Case example: Digital health tools powered by shared health data Digital Health Co-operative Research Centre and Lorica Health4m
Case study: Real time data use. Pascal Metrics Project, NSW Health3m
Module 4 conclusion1m
Course wrap-up1m
2개의 읽기 자료
Data Visualisation – Making data meaningful30m
Module 4 readings40m
1개 연습문제
Data Visualisation – Making data meaningful30m

강사

Avatar

Tim Shaw

Professor in eHealth
Research in Implementation Science and eHealth Group (RISe)

시드니 대학교 정보

The University of Sydney is one of the world’s leading comprehensive research and teaching universities, consistently ranked in the top 1 percent of universities in the world. In 2015, we were ranked 45 in the QS World University Rankings, and 100 percent of our research was rated at above, or well above, world standard in the Excellence in Research for Australia report....

자주 묻는 질문

  • 강좌에 등록하면 바로 모든 비디오, 테스트 및 프로그래밍 과제(해당하는 경우)에 접근할 수 있습니다. 상호 첨삭 과제는 이 세션이 시작된 경우에만 제출하고 검토할 수 있습니다. 강좌를 구매하지 않고 살펴보기만 하면 특정 과제에 접근하지 못할 수 있습니다.

  • 수료증을 구매하면 성적 평가 과제를 포함한 모든 강좌 자료에 접근할 수 있습니다. 강좌를 완료하면 전자 수료증이 성취도 페이지에 추가되며, 해당 페이지에서 수료증을 인쇄하거나 LinkedIn 프로필에 수료증을 추가할 수 있습니다. 강좌 콘텐츠만 읽고 살펴보려면 해당 강좌를 무료로 청강할 수 있습니다.

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