Using Data for Healthcare Improvement

Using Data for Healthcare Improvement

This course is part of Quality Improvement in Healthcare Specialization

Instructor: Dr Thomas Woodcock

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4 modules

Gain insight into a topic and learn the fundamentals.

49 reviews

Beginner level

Recommended experience

2 weeks to complete

at 10 hours a week

Flexible schedule

Learn at your own pace

4 modules

Gain insight into a topic and learn the fundamentals.

49 reviews

Beginner level

Recommended experience

2 weeks to complete

at 10 hours a week

Flexible schedule

Learn at your own pace

Skills you'll gain

Details to know

Shareable certificate

Add to your LinkedIn profile

Assessments

7 assignments

Taught in English

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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.

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There are 4 modules in this course

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

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 assignments1 plugin

4 videos Total 33 minutes

Welcome 1 minute
QIH.7.01 Introduction to Data and Measurement 5 minutes
QIH.7.04 Measurement for Improvement: Descriptive statistics 6 minutes
QIH.7.06: Planning Measurement for Improvement 21 minutes

10 readings Total 110 minutes

About Imperial College London 10 minutes
How to be successful in this course 10 minutes
Using Data for Healthcare Improvement 10 minutes
Meet The Team 10 minutes
Formative assessments 10 minutes
Grading Policy 10 minutes
Glossary 10 minutes
QIH.7.02 Measurement for Improvement, Accountability, and Research 20 minutes
QIH.7.03 Rigour in Measurement and Data Quality Control 10 minutes
QIH.7.05 Measurement for Improvement 10 minutes

2 assignments Total 60 minutes

QIH.7.05aM: Summative: Measurement for Improvement - Test your Understanding (I) 30 minutes
7.07M Summative: Measurement for Improvement - Test your Understanding (II) 30 minutes

1 plugin Total 15 minutes

QIH.7.03M Rigour in Measurement and Data Quality Control 15 minutes

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 assignments5 ungraded labs

1 video Total 6 minutes

QIH.8.01Understanding Variation 6 minutes

2 assignments Total 60 minutes

Run Charts 30 minutes
Control Charts I 30 minutes

5 ungraded labs Total 255 minutes

QIH.5.02c Completing Assessments and Etivities in Jupyter Notebooks 30 minutes
Preparing for Data Analysis Lessons: Some Preliminaries 45 minutes
Tools for Data Science in R: the tidyverse 60 minutes
QIH.8.02 The Run Chart: A Simple Tool for Understanding Variation Over Time 60 minutes
QIH.08.04 Introduction to Shewhart Charts: The Individuals Chart 60 minutes

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 assignment2 ungraded labs

1 video Total 8 minutes

QIH.9.02: Statistical Process Control: How to Act on Variation to Improve Care 8 minutes

1 reading Total 10 minutes

QIH.9.09 Measurement in Quality Improvement: Statistical Process Control and Beyond 10 minutes

1 assignment Total 30 minutes

Control Charts II 30 minutes

2 ungraded labs Total 120 minutes

QIH.9.03 A Shewhart Chart for Grouped Continous Data: The Xbar-S chart 60 minutes
QIH.9.05 A Shewhart Chart for Proportions: The p-chart 60 minutes

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 assignments2 discussion prompts

3 videos Total 13 minutes

QIH.10.01: Qualitative Research Methods in Quality Improvement 5 minutes
QIH.10.08 - Selecting Theories, Frameworks and Models for Use in the Study and Practice of Improvement 8 minutes
Summary 1 minute

5 readings Total 120 minutes

QIH.10.02: Explaining Michigan: Developing an Ex Post Theory of a Quality Improvement Program 30 minutes
QIH.10.03 Using Qualitative and Mixed Methods for Formative and Summative Evaluations and Research 20 minutes
QIH.10.04: Qualitative Methods in Research on Healthcare Quality 30 minutes
QIH.10.06 Frameworks in Quality Improvement 30 minutes
QIH.10.08b Applying the T-CaST tool 10 minutes

2 assignments Total 60 minutes

QIH.10.05: Using qualitative research in QI 30 minutes
QIH.10.11M Summative 30 minutes

2 discussion prompts Total 30 minutes

QIH.10.07 Reflecting on Three Frameworks for Evidence Implementation 20 minutes
T-CaST Your Results 10 minutes

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Instructor

Instructor ratings

(18 ratings)

Dr Thomas Woodcock

Imperial College London

4 Courses 7,943 learners

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Imperial College London

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Reviewed on Dec 27, 2023

I did not find the labs helpful. It was too distracting to find the content. I learned more from articles I pulled from the web.

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