Imperial College London
Using Data for Healthcare Improvement
Imperial College London

Using Data for Healthcare Improvement

This course is part of Quality Improvement in Healthcare Specialization

Taught in English

Dr Thomas Woodcock

Instructor: Dr Thomas Woodcock

Included with Coursera Plus

Course

Gain insight into a topic and learn the fundamentals

Beginner level

Recommended experience

15 hours (approximately)
Flexible schedule
Learn at your own pace
Prepare for a degree

Details to know

Shareable certificate

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Assessments

7 quizzes

Course

Gain insight into a topic and learn the fundamentals

Beginner level

Recommended experience

15 hours (approximately)
Flexible schedule
Learn at your own pace
Prepare for a degree

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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
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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 readings2 quizzes1 plugin

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 video2 quizzes5 ungraded labs

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 reading1 quiz2 ungraded labs

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 readings2 quizzes2 discussion prompts

Instructor

Dr Thomas Woodcock
Imperial College London
4 Courses3,969 learners

Offered by

Recommended if you're interested in Public Health

Prepare for a degree

Taking this course by Imperial College London may provide you with a preview of the topics, materials and instructors in a related degree program which can help you decide if the topic or university is right for you.

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