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
This course is part of the Quality Improvement in Healthcare Specialization
Offered By
About this Course
This course builds on ‘Introduction to Quality Improvement in Healthcare’. We recommend that you are familiar with the content of that course.
This course builds on ‘Introduction to Quality Improvement in Healthcare’. We recommend that you are familiar with the content of that course.
Offered by

Imperial College London
Imperial College London is a world top ten university with an international reputation for excellence in science, engineering, medicine and business. located in the heart of London. Imperial is a multidisciplinary space for education, research, translation and commercialisation, harnessing science and innovation to tackle global challenges.
Syllabus - What you will learn from this course
Measurement for Improvement
In this module, you will learn about the importance of measuring quality of care and health outcomes in order to determine whether 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.
Statistical Process Control – part I
In this module you will learn how to use the methods of statistical process control to distinguish between
Statistical Process Control – part II
In this module you will build on what you learnt previously, expanding the repertoire of methods to
Qualitative Methods and Theoretical Frameworks in Quality Improvement
In this module, you will learn about the use of qualitative research methods in QI in healthcare. This includes how qualitative methods can be used to drive improvement, and in studying and evaluating improvement. You will learn about the Matching Michigan study, including methods and key findings, as an example of the importance of theory in quality improvement. You will compare three theoretical frameworks for implementation and improvement,
About the Quality Improvement in Healthcare Specialization
Health systems worldwide seek to prevent and treat disease and illness and improve well-being and quality of life. This specialisation focuses on improving the quality of the services provided by these systems. The specialisation content is based on the academic literature and research in quality improvement, comprehensively illustrated with real-life practical examples.You will hear from leaders in the field, including a range of guest speakers to support your learning. In this specialisation, you will explore what is meant by quality in healthcare, study approaches to improving quality; and understand what has and has not been learned through scientific study of such approaches to date.

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