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Using Data for Healthcare Improvement

Learn to measure healthcare quality outcomes and utilize data analysis for effective quality improvement initiatives in healthcare settings.

Learn to measure healthcare quality outcomes and utilize data analysis for effective quality improvement initiatives in healthcare settings.

This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full Quality Improvement in Healthcare Specialization program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.

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Using Data for Healthcare Improvement

This course includes

15 Hours

Of Self-paced video lessons

Beginner Level

Completion Certificate

awarded on course completion

Free course

What you'll learn

  • Measure and evaluate healthcare quality outcomes effectively

  • Apply statistical process control methods to healthcare data

  • Analyze variation in healthcare processes using Shewhart charts

  • Implement qualitative research methods in quality improvement

  • Design measurement schemes for improvement initiatives

Skills you'll gain

Healthcare Analytics
Quality Improvement
Statistical Process Control
Data Analysis
Healthcare Metrics
Quality Measurement
R Programming
Research Methods
Healthcare Outcomes
Process Improvement

This course includes:

1 Hours PreRecorded video

7 quizzes

Access on Mobile, Tablet, Desktop

FullTime access

Shareable certificate

Get a Completion Certificate

Share your certificate with prospective employers and your professional network on LinkedIn.

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Certificate

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There are 4 modules in this course

This comprehensive course focuses on utilizing data for healthcare quality improvement. Students learn about measuring care quality and health outcomes, using both quantitative and qualitative data analysis methods. The curriculum covers statistical process control, research methodologies, and theoretical frameworks for implementation. Through practical examples and hands-on exercises using R software, learners develop skills in designing and evaluating healthcare improvement initiatives.

Measurement for Improvement

Module 1 · 3 Hours to complete

Statistical Process Control – part I

Module 2 · 5 Hours to complete

Statistical Process Control – part II

Module 3 · 2 Hours to complete

Qualitative Methods and Theoretical Frameworks in Quality Improvement

Module 4 · 3 Hours to complete

Fee Structure

Instructor

Dr Thomas Woodcock
Dr Thomas Woodcock

4.8 rating

25 Reviews

4,728 Students

4 Courses

Senior Research Fellow

Dr. Thomas Woodcock is a Senior Research Fellow at Imperial College London, where he leads initiatives in improvement science and information intelligence as part of the NIHR CLAHRC North West London program. His work focuses on enhancing measurement practices within healthcare improvement initiatives, aiming to foster effective strategies that can significantly impact patient care and outcomes. Dr. Woodcock is also an accomplished educator, teaching several online courses on Coursera, including "Introduction to Quality Improvement in Healthcare" and "Quality Improvement for Population Health," which aim to equip healthcare professionals with essential skills for quality enhancement.

Using Data for Healthcare Improvement

This course includes

15 Hours

Of Self-paced video lessons

Beginner Level

Completion Certificate

awarded on course completion

Free course

Testimonials

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Frequently asked questions

Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.