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Lean Six Sigma Green Belt Healthcare

Earn Your Green Belt from the University of Michigan - 100% online

Learn how to effectively solve problems by integrating Lean and Six Sigma within the DMAIC approach. Using case studies and examples primarily drawn from healthcare organizations, this online course will set you up with a structure to systematically frame problems, collect data productively, and implement sustainable solutions.


Key Information

Open Registration

$2350

GO BLUE Discounts

Start Date

Anytime

Timeline

180 days

Time Commitment

Approximately 60 self-paced hours

Format

Online

Continuing Education Units (CEU)

4

Healthcare Track

Using examples and case studies, this course focuses on applications primarily drawn from healthcare organizations, including office processes and healthcare operations. Project results include improved patient satisfaction scores, reduction of patient wait time, increased equipment utilization, fewer billing errors, and more.

view sample project

Program Overview

Course Outline

The following modules are required, and you will also receive access to optional supplemental material.

  1. Continuous Improvement Overview – Integrating Lean and Six Sigma, Classic Forms of Waste, Kaizen, Lean-Six Sigma in Healthcare
  2. DMAIC Problem Solving Process
  3. DEFINE: Requirements Flow Down, Linking Customers to Business Performance Metrics (VOC/VOB), Project Charters
  4. Process Maps: SIPOC, Swimlane, Process Mapping Diagram
  5. MEASURE: Exploring Data Patterns & Distributions (Run Charts, Histograms, Box Plots), Outliers (Supplement: Course Software Tutorial)
  6. Descriptive Statistics (Sampling, Mean, Median, Variation)
  7. Measuring Current State Capability (Yield, PPM Defective, DPMO)
  8. Rolled Yield Analysis (Types of Yield, Rolled Yield, Normalized Yield)
  9. Process Stability - Overview of Statistical Process Control (Variable and Attribute Control Charts)
  10. Measurement Systems Analysis (MSA)
  11. Value Stream Mapping – Part 1 (Current State Map, Value Add Timeline)
  12. Value Stream Mapping – Part 2 (Value Stream Productivity Analysis, Effective Process Time, Lean Levers: Pitch Interval, Volume/Mix Leveling, and Future State Maps)
  13. ANALYZE: Qualitative Analysis (Affinity, P-Diagram, Cause-Effect Diagram, 5 Whys)
  14. Stratification Analysis (Grouping Variables, Multiple Box Plots)
  15. Check Sheets and Pareto Analysis
  16. Two Group Hypothesis Tests (F-tests, t-tests, 2 proportion tests)
  17. Two-Variable Analysis: Scatter Plot/Linear Regression/Correlation
  18. Standardized Work Analysis (Time Observation, Capacity Planning Sheets, Detail Job Instructions, Leadership Standardized Work)
  19. IMPROVE: 5S Process, Standardized Work, Training, Error Proofing, Visual Aids, Process Monitoring
  20. Flow Improvements (Push vs. Pull Systems, Little's Law, Batch Size Reduction, Layout Improvement)
  21. Failure Mode and Effects (FMEA) Analysis
  22. CONTROL: Methods of Control
  23. Project Selection and Scoping
  24. Applying the Six Sigma Methodology and Course Summary

 

Time Commitment and Work Pace

Estimated: 60 self-paced hours

  • 40 hours (approximately) for lecture recordings and exercises
  • 10-30 hours for project work

All requirements must be completed within 180 days after your start date. If you do not complete the course within one year of your start date, you will be required to re-enroll at a reduced cost of $500.

This is a self-paced online course consisting of 24 lecture modules with 22 exercises (multiple choice tests to complete after each learning module). Most lecture tapes are approximately one hour in length. While the course is self-paced, we recommend completing two sessions/week. 

Project Information

Lean Six Sigma DMAIC analysis may be applied to a vast array of process improvement opportunities. Participants are expected to complete a project to practice and apply course concepts.

Learn More

 

Certification Requirements

Participants pursuing their University of Michigan Lean Six Sigma Green Belt Certification are required to:

  • Complete all required online lecture modules
  • Complete all testing exercises with an overall cumulative score > 80%
  • Successfully complete Green Belt Project (reviewed by U-M faculty)
Upon successful completion, you will be mailed your University of Michigan Lean Six Sigma Green Belt Certification.
Prerequisites & Technical Requirements

A basic understanding of statistical analysis methods is recommended, including:

  • Basic Microsoft Excel Skills
  • Basic Statistics

To view technical requirements, click here.

Support

Administrative/Online Technical Support

Support staff are available via phone and email to help with administrative and technical issues during our normal business hours (Monday through Friday 8:00 a.m. to 5:00 p.m. Eastern Time). 

Content Questions/Certification Project Support

Candidates are welcome to contact the course instructors for content questions and project support. The instructors will provide support via e-mail, phone consultation, and/or online videoconferencing.

Learning Objectives

  • Understand variability through the graphical representation of data
  • Describe a process visually through process mapping techniques
  • Apply DMAIC problem solving process toward process improvement at the Green Belt level
  • Interpret test results and draw conclusions based on data
  • Develop recommendations and control plans to improve processes
  • Complete a process improvement project outside of class that demonstrates the application of the full DMAIC methodology

Complimentary Software

U-M's Green Belt Certification courses include a copy of QE Tools statistical analysis software. QE Tools is a user-friendly Excel add-in tool designed for Lean Six Sigma Green Belts. Students will use QE Tools to apply the various problem solving and statistical analysis methods both within the course and for their Lean Six Sigma project.

Instructional Team

Patrick Hammett, PhD
Patrick Hammett, PhD
Lead Faculty, Six Sigma Programs
Lecturer, College of Engineering
Nicole Friedberg
Nicole Friedberg
Instructor, Nexus
Luis Guzman, PhD
Luis Guzman, PhD
Instructor, Nexus
Lecturer, College of Engineering
Don Lynch, PhD
Don Lynch, PhD
Instructor, Nexus
Vice President of Quality, Strategy, and Transformation, SKF USA Inc.

Post Program

Digital Badge

Earn a digital badge for your resume or professional profile:

A preview of what a digital badge for a course might look it. A blue, badge-shaped graphic with the Nexus logo and an icon corresponding to the field of study.

Certificate

A certificate in your course of study will be awarded upon successful completion of this program.

A preview of what a course certificate of completion might look like.

“The program was amazing; the video content, instruction, and format made it extremely user friendly.”

-Online Six Sigma Participant