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100% online

Comece imediatamente e aprenda em seu próprio cronograma.

Prazos flexíveis

Redefinir os prazos de acordo com sua programação.

Nível iniciante

Aprox. 9 horas para completar

Sugerido: 5 hours/week...

Inglês

Legendas: Inglês

Programa - O que você aprenderá com este curso

Semana
1
4 horas para concluir

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.

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7 vídeos ((Total 27 mín.)), 5 leituras, 3 testes
7 videos
Introduction to Module 12min
Five ways digital health data is changing healthcare8min
Data driven care: turning data from a personal health journey into actionable information3min
Do healthcare professionals really need to know data analytics?5min
The potential of health data to drive healthcare transformations: Digital Health CRC3min
Module 1 conclusion2min
5 leituras
Article and instructions for quiz: 'Five ways digital data is changing health care'30min
Data driven care - video and infographic20min
Worksheet and instructions for activity: Data driven care - your context30min
Activity: Vision for digital health and data analytics1h
Module 1 readings45min
3 exercícios práticos
Five ways digital health data is changing healthcare - Change to attitudes20min
Data driven care - your context10min
Vision for digital health and data analytics10min
Semana
2
4 horas para concluir

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 vídeos ((Total 42 mín.)), 3 leituras, 4 testes
8 videos
What is health data? An introduction to health data classification 3min
Overview of the data life cycle5min
Quality health data: What is it and why is it important?6min
What happens when we get it wrong? The impact of poor data quality4min
Data governance and privileges 8min
Terminology and  key statistical concepts for interpreting data10min
Module 2 conclusion1min
3 leituras
Activity: Data governance and privileges1h
Terminology and key concepts for interpreting data30min
Module 2 readings40min
4 exercícios práticos
Practice: Overview of the data life cycle10min
Practice: Dimensions of quality data15min
Data governance and privileges10min
Terminology and key concepts for interpreting data20min
Semana
3
4 horas para concluir

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.

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8 vídeos ((Total 44 mín.)), 3 leituras, 4 testes
8 videos
From information to insight – Overview of analytics impacting healthcare 5min
Key steps in the analysis of health data4min
Make sense of a data report7min
Everyday data queries common to decision making in healthcare5min
Carry out a simple (guided) health data analysis task 14min
Top tips for your analytics journey3min
Module 3 conclusion1min
3 leituras
Data tools10min
Data analysis task - instructions and worksheet30min
Module 3 readings10min
3 exercícios práticos
Practice: Types of analytics8min
Data tools20min
Data analysis task20min
Semana
4
3 horas para concluir

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.

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9 vídeos ((Total 40 mín.)), 2 leituras, 1 teste
9 videos
Make data meaningful: Best practice for the communication of health data7min
Use of data visualisations for collaborative decision making 7min
Collaborating around data for healthcare improvement3min
Sharing data for research purposes8min
Case example: Digital health tools powered by shared health data Digital Health Co-operative Research Centre and Lorica Health4min
Case study: Real time data use. Pascal Metrics Project, NSW Health3min
Module 4 conclusion1min
Course wrap-up1min
2 leituras
Data Visualisation – Making data meaningful30min
Module 4 readings40min
1 exercício prático
Data Visualisation – Making data meaningful30min

Instrutores

Avatar

Tim Shaw

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

Sobre Universidade de Sydney

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....

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