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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
Show info about module content
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
Statistical Process Control – part I
Module 2•5 hours to complete
Module details
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
Show info about module content
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
Statistical Process Control – part II
Module 3•3 hours to complete
Module details
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
Show info about module content
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
Qualitative Methods and Theoretical Frameworks in Quality Improvement
Module 4•4 hours to complete
Module details
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.
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.
Imperial students benefit from a world-leading, inclusive educational experience, rooted in the College’s world-leading research. Our online courses are designed to promote interactivity, learning and the development of core skills, through the use of cutting-edge digital technology.
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What will I get if I subscribe to this Specialization?
When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.
Is financial aid available?
Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.