Quality Improvement for Population Health
Instructor: Dr Thomas Woodcock
Intermediate Level • 1 week to complete at 10 hours a week • Flexible Schedule
Skills You'll Gain
Continuous Quality Improvement (CQI)
Health Policy
Community Health
Health Care
Geographic Information Systems
Public Health
Research Design
Data Presentation
Health Administration
Shareable Certificate
Earn a shareable certificate to add to your LinkedIn profile
Outcomes
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Learn new concepts from industry experts
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Gain a foundational understanding of a subject or tool
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Develop job-relevant skills with hands-on projects
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Earn a shareable career certificate
There are 4 modules in this course
In this module you will contrast quality improvement methods with population health frameworks. You will also learn about the use of geographic information systems in quality improvement, along with the importance of good data visualisation. You will learn how to use funnel plots to understand variation in measures across organisations, units or geographies.
In this module you will study a well-known example of failings in a healthcare system, and the subsequent investigations and reports into what happened, thinking about parallels in population health. You will study published examples of quality improvement methods applied to population and public health improvement, reflecting on how lessons learnt in quality and safety might be applied in this context.
In this module you will be given an overview of study designs for studying QI initiatives, including large national initiatives, with a focus on designs that optimise learning for future improvement. You will also reflect on the priorities and future directions for research in QI.
In this module, you will work on the capstone project of the specialisation. You will bring together what you have learnt across the three courses; from quality improvement methods, through evaluation designs for improvement initiatives, to improving population health. You will plan your own improvement initiative, tackling an important population health issue, and select methods suited to the problem.