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Dr Thomas Woodcock
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
Register for this course and see more details by visiting:
OpenCourser.com/course/ne9y3r/using
What's inside
Syllabus
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.
Read more
Syllabus
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.
Read more
Statistical Process Control – part I
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
Statistical Process Control – part II
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.
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,
identifying their strengths and weaknesses, and use a tool designed to aid framework selection.
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Provides insights into methods appropriate for improvement initiatives
Emphasizes the significance of data in identifying areas for improvement
Combines quantitative and qualitative data to evaluate change
Incorporates qualitative research methods to drive and evaluate improvement
Offers hands-on experience with statistical process control techniques
Save this course
Save Using Data for Healthcare Improvement to your list so you can find it easily later:
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Activities
Be better prepared
before
your course. Deepen your understanding
during
and
after
it. Supplement your coursework and achieve mastery of the topics covered
in Using Data for Healthcare Improvement with these
activities:
Review 'Introductory Statistical Process Control' by R.J. Oakland
Show steps
Understanding the foundational concepts of statistical process control early on will set you up for success in learning the more advanced methods later in the course.
Show steps
-
Read chapters 1-3 of the book.
-
Take notes on the key concepts and definitions.
-
Complete the practice exercises at the end of each chapter.
Organize and review your notes, assignments, and readings
Show steps
Organizing your materials will make it easier for you to find and review information when needed, aiding in your understanding and retention.
Show steps
-
Gather all your notes, assignments, and readings
-
Sort and organize them by topic or module
-
Summarize and synthesize key concepts for better retention
Complete the tutorials on the RStudio website
Show steps
The course utilizes R for data analysis. Completing these tutorials will allow you to familiarize yourself with the software and its capabilities, making it easier to follow along with the lessons.
Browse courses on
R
Show steps
-
Visit the RStudio website and navigate to the 'Tutorials' section.
-
Choose a tutorial that covers the basics of R, such as 'Introduction to R'.
-
Follow the tutorial step-by-step and complete all the exercises.
12 other activities
Expand to see all activities and additional details
Show all 15 activities
Review healthcare statistics
Show steps
Reviewing healthcare statistics will provide you with a strong foundation for understanding the concepts covered in this course.
Browse courses on
Statistics
Show steps
-
Review your notes from a previous statistics course.
-
Read a textbook chapter on healthcare statistics.
-
Complete online practice problems.
Review statistics concepts
Show steps
Reviewing statistics concepts will reinforce your understanding of quantitative methods used in quality improvement.
Browse courses on
Statistical Process Control
Show steps
-
Review notes and textbooks from previous statistics courses
-
Complete practice problems or online quizzes on statistical concepts
-
Attend a statistics refresher workshop or seminar
Practice using statistical process control charts
Show steps
Statistical process control charts are a key tool for monitoring and improving healthcare processes. Practicing using these charts will help you develop the skills necessary to use them effectively in your own work.
Browse courses on
Statistical Process Control
Show steps
-
Download a dataset from the course website or find your own dataset to work with.
-
Create a control chart for the dataset using a statistical software package such as R or Excel.
-
Interpret the control chart and identify any patterns or trends.
Join a study group
Show steps
Participating in a study group will allow you to discuss the course material with other students and get different perspectives.
Show steps
-
Find a study group that meets regularly.
-
Read the assigned material before each study group meeting.
-
Come to the study group meetings prepared to discuss the material.
-
Participate in the discussion and ask questions.
Develop a measurement plan for a quality improvement initiative
Show steps
Creating a measurement plan will help you design and evaluate your own quality improvement project.
Show steps
-
Identify the specific quality improvement goal
-
Determine the relevant data to collect and the methods for collecting it
-
Develop a data analysis plan to assess the effectiveness of the improvement
Analyze real-time data using statistical process control charts
Show steps
Practicing data analysis will enhance your ability to identify and interpret patterns in quality improvement data.
Browse courses on
Statistical Process Control
Show steps
-
Familiarize yourself with the principles of statistical process control
-
Use statistical software to create control charts for real-time data
-
Interpret the control charts to identify process variations and potential areas for improvement
Attend a workshop on quality improvement methodologies
Show steps
Participating in workshops will expose you to best practices, case studies, and expert insights in quality improvement.
Browse courses on
Quality Management
Show steps
-
Research and identify relevant workshops
-
Register and attend the workshop
-
Actively engage in the workshop activities and discussions
Participate in a group discussion on qualitative research methods in quality improvement
Show steps
Engaging in peer discussions will allow you to exchange ideas, share experiences, and gain diverse perspectives on qualitative research methods.
Show steps
-
Prepare by reading assigned materials and reflecting on the topic
-
Actively participate in the discussion, sharing your insights and asking questions
-
Take notes and summarize key points for future reference
Develop a quality improvement plan
Show steps
Creating a quality improvement plan will allow you to apply the concepts you learn in this course to a real-world setting.
Show steps
-
Identify a quality improvement project.
-
Develop a plan for how to implement the project.
-
Monitor the progress of the project.
-
Evaluate the results of the project.
Contribute to an open-source quality improvement project or repository
Show steps
Contributing to open-source projects will allow you to connect with a community of like-minded individuals and make a tangible impact on the field.
Browse courses on
Community Involvement
Show steps
-
Identify open-source quality improvement projects or repositories
-
Explore the project's documentation and codebase
-
Identify areas where you can contribute your skills and knowledge
Develop a quality improvement proposal for a specific healthcare setting
Show steps
Creating a quality improvement proposal will allow you to apply the knowledge and skills you have gained to a real-world scenario.
Browse courses on
Quality Management
Show steps
-
Identify a specific quality improvement need in a healthcare setting
-
Research and develop a proposed intervention
-
Outline the implementation plan, evaluation strategy, and expected outcomes
Conduct a quality improvement project
Show steps
Conducting a quality improvement project is the best way to learn how to apply the concepts of quality improvement to real-world settings.
Browse courses on
Quality Improvement
Show steps
-
Identify a quality improvement project.
-
Develop a plan for how to implement the project.
-
Implement the project.
-
Monitor the progress of the project.
-
Evaluate the results of the project.
Review 'Introductory Statistical Process Control' by R.J. Oakland
Show steps
Understanding the foundational concepts of statistical process control early on will set you up for success in learning the more advanced methods later in the course.
Show steps
Show steps
Show steps
- Read chapters 1-3 of the book.
- Take notes on the key concepts and definitions.
- Complete the practice exercises at the end of each chapter.
Organize and review your notes, assignments, and readings
Show steps
Organizing your materials will make it easier for you to find and review information when needed, aiding in your understanding and retention.
Show steps
Show steps
Show steps
- Gather all your notes, assignments, and readings
- Sort and organize them by topic or module
- Summarize and synthesize key concepts for better retention
Complete the tutorials on the RStudio website
Show steps
The course utilizes R for data analysis. Completing these tutorials will allow you to familiarize yourself with the software and its capabilities, making it easier to follow along with the lessons.
Browse courses on
R
Show steps
Show steps
Show steps
- Visit the RStudio website and navigate to the 'Tutorials' section.
- Choose a tutorial that covers the basics of R, such as 'Introduction to R'.
- Follow the tutorial step-by-step and complete all the exercises.
12 other activities
Expand to see all activities and additional details
Show all 15 activities
Review healthcare statistics
Show steps
Reviewing healthcare statistics will provide you with a strong foundation for understanding the concepts covered in this course.
Browse courses on
Statistics
Show steps
Show steps
Show steps
- Review your notes from a previous statistics course.
- Read a textbook chapter on healthcare statistics.
- Complete online practice problems.
Review statistics concepts
Show steps
Reviewing statistics concepts will reinforce your understanding of quantitative methods used in quality improvement.
Browse courses on
Statistical Process Control
Show steps
Show steps
Show steps
- Review notes and textbooks from previous statistics courses
- Complete practice problems or online quizzes on statistical concepts
- Attend a statistics refresher workshop or seminar
Practice using statistical process control charts
Show steps
Statistical process control charts are a key tool for monitoring and improving healthcare processes. Practicing using these charts will help you develop the skills necessary to use them effectively in your own work.
Browse courses on
Statistical Process Control
Show steps
Show steps
Show steps
- Download a dataset from the course website or find your own dataset to work with.
- Create a control chart for the dataset using a statistical software package such as R or Excel.
- Interpret the control chart and identify any patterns or trends.
Join a study group
Show steps
Participating in a study group will allow you to discuss the course material with other students and get different perspectives.
Show steps
Show steps
Show steps
- Find a study group that meets regularly.
- Read the assigned material before each study group meeting.
- Come to the study group meetings prepared to discuss the material.
- Participate in the discussion and ask questions.
Develop a measurement plan for a quality improvement initiative
Show steps
Creating a measurement plan will help you design and evaluate your own quality improvement project.
Show steps
Show steps
Show steps
- Identify the specific quality improvement goal
- Determine the relevant data to collect and the methods for collecting it
- Develop a data analysis plan to assess the effectiveness of the improvement
Analyze real-time data using statistical process control charts
Show steps
Practicing data analysis will enhance your ability to identify and interpret patterns in quality improvement data.
Browse courses on
Statistical Process Control
Show steps
Show steps
Show steps
- Familiarize yourself with the principles of statistical process control
- Use statistical software to create control charts for real-time data
- Interpret the control charts to identify process variations and potential areas for improvement
Attend a workshop on quality improvement methodologies
Show steps
Participating in workshops will expose you to best practices, case studies, and expert insights in quality improvement.
Browse courses on
Quality Management
Show steps
Show steps
Show steps
- Research and identify relevant workshops
- Register and attend the workshop
- Actively engage in the workshop activities and discussions
Participate in a group discussion on qualitative research methods in quality improvement
Show steps
Engaging in peer discussions will allow you to exchange ideas, share experiences, and gain diverse perspectives on qualitative research methods.
Show steps
Show steps
Show steps
- Prepare by reading assigned materials and reflecting on the topic
- Actively participate in the discussion, sharing your insights and asking questions
- Take notes and summarize key points for future reference
Develop a quality improvement plan
Show steps
Creating a quality improvement plan will allow you to apply the concepts you learn in this course to a real-world setting.
Show steps
Show steps
Show steps
- Identify a quality improvement project.
- Develop a plan for how to implement the project.
- Monitor the progress of the project.
- Evaluate the results of the project.
Contribute to an open-source quality improvement project or repository
Show steps
Contributing to open-source projects will allow you to connect with a community of like-minded individuals and make a tangible impact on the field.
Browse courses on
Community Involvement
Show steps
Show steps
Show steps
- Identify open-source quality improvement projects or repositories
- Explore the project's documentation and codebase
- Identify areas where you can contribute your skills and knowledge
Develop a quality improvement proposal for a specific healthcare setting
Show steps
Creating a quality improvement proposal will allow you to apply the knowledge and skills you have gained to a real-world scenario.
Browse courses on
Quality Management
Show steps
Show steps
Show steps
- Identify a specific quality improvement need in a healthcare setting
- Research and develop a proposed intervention
- Outline the implementation plan, evaluation strategy, and expected outcomes
Conduct a quality improvement project
Show steps
Conducting a quality improvement project is the best way to learn how to apply the concepts of quality improvement to real-world settings.
Browse courses on
Quality Improvement
Show steps
Show steps
Show steps
- Identify a quality improvement project.
- Develop a plan for how to implement the project.
- Implement the project.
- Monitor the progress of the project.
- Evaluate the results of the project.
Career center
Learners who complete Using Data for Healthcare Improvement will develop knowledge and skills
that may be useful to these careers:
Quality Improvement Specialist
Quality Improvement Specialist
A Quality Improvement Specialist plays an intricate role in healthcare settings, working to enhance processes and achieve better patient outcomes. This course, Using Data for Healthcare Improvement, imparts valuable knowledge and skills that directly align with the responsibilities of a Quality Improvement Specialist. Through modules on measurement for improvement, statistical process control, and qualitative methods, you will gain a comprehensive understanding of data analysis and interpretation techniques essential for identifying areas of improvement and evaluating the effectiveness of interventions. By delving into real-time series data and using statistical software, you will develop proficiency in distinguishing between process variation and true improvement, enabling you to make informed decisions and drive meaningful change in healthcare delivery.
Healthcare Data Analyst
Healthcare Data Analyst
Healthcare Data Analysts play a vital role in the healthcare industry, utilizing data to improve patient care and optimize healthcare systems. The course, Using Data for Healthcare Improvement, provides a solid foundation for individuals aspiring to become Healthcare Data Analysts. By mastering the concepts of measurement for improvement, statistical process control, and qualitative research methods, you will acquire the skills necessary to collect, analyze, and interpret healthcare data effectively. The course's emphasis on identifying areas of improvement and evaluating change will empower you to make data-driven recommendations that drive positive outcomes in healthcare settings.
Healthcare Consultant
Healthcare Consultant
Healthcare Consultants provide expert advice and support to healthcare organizations, helping them improve their operations and achieve their goals. The course, Using Data for Healthcare Improvement, equips individuals with the knowledge and skills highly valued by Healthcare Consultants. By gaining proficiency in data analysis, interpretation, and improvement methodologies, you will be well-equipped to assess healthcare systems, identify areas for optimization, and develop data-driven recommendations that lead to tangible improvements in patient care and organizational efficiency.
Healthcare Administrator
Healthcare Administrator
Healthcare Administrators oversee the day-to-day operations of healthcare facilities, ensuring the efficient delivery of patient care. The course, Using Data for Healthcare Improvement, provides a valuable foundation for aspiring Healthcare Administrators. By developing a deep understanding of data analysis and improvement techniques, you will be well-equipped to evaluate the performance of healthcare systems, identify areas for improvement, and make data-informed decisions that optimize patient care and organizational outcomes.
Clinical Research Associate
Clinical Research Associate
Clinical Research Associates play a critical role in the development and evaluation of new medical treatments and therapies. The course, Using Data for Healthcare Improvement, provides a strong foundation for individuals seeking to become Clinical Research Associates. By gaining expertise in data analysis, statistical process control, and quality improvement methodologies, you will be well-equipped to design and conduct clinical trials, collect and analyze data, and ensure the integrity and accuracy of research findings.
Medical Statistician
Medical Statistician
Medical Statisticians apply statistical principles and methods to healthcare data, providing valuable insights for research, policymaking, and clinical practice. The course, Using Data for Healthcare Improvement, provides a solid foundation for aspiring Medical Statisticians. By mastering the concepts of measurement for improvement, statistical process control, and qualitative research methods, you will acquire the skills necessary to analyze and interpret healthcare data effectively, draw meaningful conclusions, and make evidence-based recommendations that drive improvements in patient care.
Public Health Analyst
Public Health Analyst
Public Health Analysts play a crucial role in protecting and improving the health of communities. The course, Using Data for Healthcare Improvement, provides a valuable foundation for individuals aspiring to become Public Health Analysts. By developing a deep understanding of data analysis and improvement techniques, you will be well-equipped to assess the health status of populations, identify health disparities, and develop and evaluate public health programs and policies that promote health and well-being.
Epidemiologist
Epidemiologist
Epidemiologists investigate the distribution and determinants of health-related states and events in populations. The course, Using Data for Healthcare Improvement, provides a valuable foundation for individuals seeking to become Epidemiologists. By gaining expertise in data analysis, statistical process control, and quality improvement methodologies, you will be well-equipped to conduct epidemiological studies, analyze data, and identify risk factors and patterns of disease occurrence, contributing to the development of effective prevention and control strategies.
Health Economist
Health Economist
Health Economists apply economic principles and methods to healthcare systems and policies. The course, Using Data for Healthcare Improvement, provides a valuable foundation for individuals seeking to become Health Economists. By developing a deep understanding of data analysis and improvement techniques, you will be well-equipped to evaluate the cost-effectiveness of healthcare interventions, analyze healthcare markets, and inform policy decisions that aim to improve the efficiency and equity of healthcare systems.
Biostatistician
Biostatistician
Biostatisticians apply statistical methods to the analysis of biological data. The course, Using Data for Healthcare Improvement, may be useful for individuals seeking to become Biostatisticians. By gaining a foundation in data analysis, statistical process control, and quality improvement methodologies, you will be better prepared to collaborate with researchers in the design and analysis of biological studies, contributing to the advancement of scientific knowledge and healthcare outcomes.
Data Scientist
Data Scientist
Data Scientists use scientific methods, processes, algorithms, and systems to extract knowledge and insights from data. The course, Using Data for Healthcare Improvement, may be useful for individuals seeking to become Data Scientists in the healthcare field. By gaining a foundation in data analysis, statistical process control, and quality improvement methodologies, you will be better equipped to handle healthcare data, identify patterns and trends, and develop predictive models that can improve patient care and healthcare operations.
Software Engineer
Software Engineer
Software Engineers design, develop, and maintain software systems. The course, Using Data for Healthcare Improvement, may be useful for individuals seeking to become Software Engineers in the healthcare field. By gaining a foundation in data analysis and statistical process control, you will be better equipped to understand the healthcare domain, develop software solutions that meet specific needs, and ensure the quality and reliability of healthcare software systems.
Business Analyst
Business Analyst
Business Analysts analyze business needs and develop solutions that improve business processes. The course, Using Data for Healthcare Improvement, may be useful for individuals seeking to become Business Analysts in the healthcare field. By gaining a foundation in data analysis and improvement techniques, you will be better equipped to understand healthcare operations, identify areas for improvement, and develop data-driven recommendations that enhance efficiency and patient outcomes.
Project Manager
Project Manager
Project Managers plan, execute, and close projects. The course, Using Data for Healthcare Improvement, may be useful for individuals seeking to become Project Managers in the healthcare field. By gaining a foundation in data analysis and improvement methodologies, you will be better equipped to manage healthcare projects, track progress, and ensure that projects are completed successfully, contributing to the delivery of quality healthcare services.
Healthcare Executive
Healthcare Executive
Healthcare Executives oversee the operations and strategic direction of healthcare organizations. The course, Using Data for Healthcare Improvement, may be useful for individuals seeking to become Healthcare Executives. By gaining a foundation in data analysis and improvement techniques, you will be better equipped to make informed decisions, allocate resources effectively, and lead healthcare organizations towards improved patient outcomes and financial sustainability.
For more career information including salaries, visit:
OpenCourser.com/course/ne9y3r/using
Reading list
We've selected seven books
that we think will supplement your
learning. Use these to
develop background knowledge, enrich your coursework, and gain a
deeper understanding of the topics covered in
Using Data for Healthcare Improvement.
Is more focused on the practical nuts and bolts of quality improvement, such as how to run improvement projects, how to sustain gains, and how to measure improvement. It good resource for people who are actually doing improvement work.
Many of the methods taught in the course are covered in this book, and with much greater detail and coverage of theory and mathematical background. There is also much discussion of practical issues which arise when applying these methods in the real world.
Provides a comprehensive overview of medical statistics, from basic concepts to more advanced methods. It good resource for people who want to learn more about the statistical methods used in healthcare.
Provides a good overview of qualitative research methods and how to use them in healthcare settings. It good resource for people who are new to qualitative research or who want to learn more about how to use it to improve care.
Is not specifically about quality improvement, but it provides a useful framework for understanding the challenges of innovation and change. It can be helpful for people who are trying to implement new quality improvement ideas in a complex healthcare system.
Save
Provides an overview of clinical epidemiology, which is the study of the distribution and determinants of health-related states and events in populations. It good resource for people who want to learn more about the methods used to study health and disease.
Provides a comprehensive overview of the research process, from developing a research question to writing up the results. It good resource for people who are new to research or who want to learn more about how to conduct research in healthcare.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/ne9y3r/using
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Level
Introductory
Via
Coursera
Institution
Imperial College London
Instructor
Dr Thomas Woodcock
Language
English
This course belongs to a
collection
called
Quality Improvement in Healthcare. It's comprised of three courses:
- Using Data for Healthcare Improvement (viewing)
- Introduction to Quality Improvement in Healthcare
- Quality Improvement for Population Health
Good to know
Provides insights into methods appropriate for improvement initiatives
Emphasizes the significance of data in identifying areas for improvement
Combines quantitative and qualitative data to evaluate change
Incorporates qualitative research methods to drive and evaluate improvement
Offers hands-on experience with statistical process control techniques
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