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QIH.8.01Understanding Variation

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Imperial College London

Using Data for Healthcare Improvement

Imperial College London

Course 2 of 3 in the Quality Improvement in Healthcare Specialization

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In this course, you will learn about the importance of measuring the quality of care and health outcomes in order to determine whether Quality Improvement(QI ) initiatives have achieved their aims. You will learn about how data is utilised to identify areas of improvement and the importance of using both quantitative and qualitative data in evaluating change. You will learn about the specific methods appropriate for improvement as distinct from methods more suited to research, including how to design measurement schemes suitable for improvement initiatives

From the lesson

Statistical Process Control 鈥� part I

In this module you will learn how to use the methods of statistical process control to distinguish between variation due to changes in the underlying process of care and variation that is part of this process, including how to distinguish when variation in a measure constitutes evidence of improvement in care. You will use the statistical software package R to analyse real time series data using Shewhart charts, and learn to interpret and act on the results. Example data is taken from a project screening for Atrial Fibrillation in an at risk population, and data on time spent in the accident and emergency department

QIH.8.01Understanding Variation6:13

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