Imperial College London
Using Data for Healthcare Improvement
Imperial College London

Using Data for Healthcare Improvement

Dr Thomas Woodcock

Instructor: Dr Thomas Woodcock

305 already enrolled

Course

Gain insight into a topic and learn the fundamentals

Beginner level

Recommended experience

15 hours (approximately)
Flexible schedule
Learn at your own pace
Progress towards a degree

Details to know

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Quizzes and assessments

1 quiz, 6 assessments

English
Subtitles: English

Course

Gain insight into a topic and learn the fundamentals

Beginner level

Recommended experience

15 hours (approximately)
Flexible schedule
Learn at your own pace
Progress towards a degree

Build your subject-matter expertise

This course is part of the Quality Improvement in Healthcare Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
  • Learn new concepts from industry experts
  • Gain a foundational understanding of a subject or tool
  • Develop job-relevant skills with hands-on projects
  • Earn a shareable career certificate
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There are 4 modules in this course

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.

What's included

4 videos10 readings

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

What's included

1 video

In this module you will build on what you learnt previously, expanding the repertoire of methods to cover additional types of data frequently encountered in quality improvement.

What's included

1 video1 reading

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, identifying their strengths and weaknesses, and use a tool designed to aid framework selection.

What's included

3 videos5 readings1 quiz

Instructor

Dr Thomas Woodcock
Imperial College London
4 Courses1,756 learners

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Get a head start on your degree

This course is part of the following online degree programs offered by Imperial College London. If you apply and are accepted, your coursework can count toward your degree learning and all of your progress will transfer with you.

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Recommended if you're interested in Health

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