Lean Six Sigma Green Belt - Healthcare

Spring Session: Jan. 27 - March 29, 2020 - REGISTER HERE

Fall Session: Sep. 7 - Nov. 8, 2020  - REGISTER HERE

Training Via Online Distance Learning: 

"The goal is to make healthcare more efficient, more effective, with higher quality and fewer errors - and, in the process, save lives." - Dr. Mohammad Khasawneh

  • Pre-recorded rebroadcast of our September 2014 program
  • Open-book, open-note assignments due by the last day of session to be eligible for certification
  • Only through distance learning
  • Pre-recorded lectures and slides are available on our Blackboard course management system 24/7
  • Emphasize why implementation of Lean Six Sigma is vital to the continuous improvement of hospital operations, in specific; and healthcare delivery systems, in general
  • Several healthcare case studies and applications of Lean Six Sigma concepts will be presented
  • Educational games and group activities will be used
  • Recommend minimum of 30 to 40 hours for completing assignments
  • Notification of course completion will be approximately 6 weeks following the end of the session
Who Should Attend:
  • Healthcare Executives
  • Directors
  • Physicians
  • Nurses
  • Pharmaceutical Staff
  • Hospital and Office Administrative Staff
  • Industrial Management Engineers
  • Performance Improvement Specialists
  • Laboratory and Specialized Healthcare Services Staff
  • Clinical Staff
  • Insurance Company Staff
  • Anyone seeking Lean Six Sigma Green Belt certification
  • Continuous process improvement (CPI) in healthcare with emphasis on both Lean and Six Sigma concepts and methodologies;
  • Lean concepts and its applications in healthcare, such as 5s, waste reduction, value stream mapping, and error proofing;
  • DMAIC (Define, Measure, Analyze, Improve, and Control) to solve healthcare issues and transition CPI projects from one phase to another;
  • Basic statistical analysis methods and tools to determine key relationships between health system inputs and outputs;
  • The integration of both Lean and Six Sigma for achieving data-driven process improvement results in healthcare systems;
  • Team dynamics and leadership in healthcare domain to provide effectively successful healthcare projects.
Participants will be able to:
  • Recognize the need and key attributes of a successful Lean Six Sigma program in an organization; Describe the roles and responsibilities of a certified Lean Six Sigma Green Belt in a healthcare organization;
  • List the fundamentals of the DMAIC problem-solving methodology;
  • Use basic Lean Six Sigma tools for project definition and process baseline, and improvement analysis, implementation, and sustainability;
  • Define the need for advanced problem solving and improvement methodologies used by project teams;
  • Integrate Lean Six Sigma knowledge and tools to successfully implement, deploy, and sustain process improvements. 

Upon request, participants will also receive a certificate of continuing education credits for a total of 3.3 CEUs from the Thomas J. Watson School of Engineering and Applied Science at Binghamton University.

  • Computer with a high-speed internet connection and audio
  • Microsoft Excel
  • Trial version (free for 30 days) of the Minitab software (for statistical analysis) on or a day before the start of the training program. Minitab is available for free for all Binghamton students
  • Updated version of JAVA
  • A headset with microphone may be useful but is not necessary
Materials Provided:
  • Instruction via 33 hours of pre-recorded lectures
  • Soft copies of slides
  • Access to Blackboard course management system
  • Support via virtual office hours using Cisco WebEx (a tool within the Blackboard course management system) and email with the instructor and teaching assistant
  • Grading of take-home assignments
  • Healthcare Lean Six Sigma Green Belt Certificate of Completion
  • Continuous process improvement in healthcare
  • Introduction to Lean, Six Sigma, and Lean Six Sigma in healthcare
  • DMAIC (Define, Measure, Analyze, Improve, and Control):

    • Define: Project charter; process mapping; voice of the customer; 7 "new" management and planning tools; 7 "old" quality control tools; CTQ trees; SIPOC diagram; etc.
    • Measure: Basic probability and statistics for six sigma; measurement system analysis (MSA); Gauge R&R studies; process capability analysis; benchmarking; etc.
    • Analyze: Correlation analysis; regression analysis; confidence intervals; hypothesis testing; etc.
    • Improve: Design of experiments (DOE); analysis of variance (ANOVA); failure mode and effect analysis (FMEA); house of quality and quality function deployment (QFD); simulation software; action/communication plan; etc.
    • Control: Statistical process control; process capability analysis; cost savings and return on investment (ROI) calculations; mistake-proofing; control plan; etc.
  • Spreadsheet-based statistics for Six Sigma
  • Simulation for Lean Six Sigma
  • Case studies/projects


Dr. Mohammad T. Khasawneh

  • Professor and Chair in Systems Science & Industrial Engineering DepartmentDr. Khasawneh
  • Associate Director, Watson Institute for Systems Excellence
  • Director, Healthcare Systems Engineering Center
  • Director, Human Factors and Ergonomics Laboratory
  • Graduate Program Director, Executive Master of Science in Health Systems
  • SUNY Chancellor's Award for Excellence in Teaching
  • Ph.D., Industrial Engineering, Clemson University

Teaching Assistant - Lu He

B.M., Logistics Management, 2014, China, Southeast University
M.S., Industrial and Systems Engineering, 2016, Binghamton University
Ph.D. Student, Industrial and Systems Engineering, Binghamton University

Research Project Assistant, Watson Institute for Systems Excellence
Graduate Assistant, Lean Six Sigma Green Belt

      Lu He Picture     

Fees & Deadlines

We reserve the right to cancel our sessions.  If canceled, fees will be refunded in full.

 Registration Information Fall Session 2019
Sept. 10 - Nov. 11
Spring Session 2020
 Jan. 27 - Mar.  29
Register by September 2 January 20
$50 late registration fee starts September 3 January 21
Registrations Closes (5 p.m. Eastern Time) September 18 February 7
Standard Green Belt $1,500 $1,500

Standard Green Belt GROUP DISCOUNT (2 or more, verification required)

$1,400 $1,400
*University of Hawaii at Hilo GREEN BELT + **CPE $1,500 $1,500
*University of Hawaii GREEN BELT ONLY $1,250 $1,250
*University of Hawaii at Hilo **CPE ONLY $1,000 $1,000
Binghamton University Alumni, Faculty, Staff and Not for Profit org. $1,000 $1,000
Binghamton University Currently Enrolled Students $600 $600
logo Hawaii*The University of Hawaii Hilo Daniel K. Inouye College of Pharmacy is accredited by the Accreditation Council for Pharmacy Education as a provider of continuing pharmacy education. This is an application based continuing education activity of the University of Hawai'i Hilo. UAN: 0516-9999-16-010-H04-P. This activity is jointly provided by the University of Hawai'i at Hilo Daniel K. Inouye College of Pharmacy and the University of New York at Binghamton Watson School of Engineering & Applied Science. http://pharmacy.uhh.hawaii.edu/academics/continuing-education/health-lean-six-sigma-training
**32 CPE Credits for the University of Hawaii at Hilo Pharmacists


Registration confirmations will be sent by email. Detailed instructions about accessing the course will be sent by email a few days before the class starts.

If you have not received confirmation within seven days of registering, please contact the Office of Industrial Outreach to make sure we received your registration.

Cancellation and Refund Policy

  • $50 Refund Administrative Fee
  • All cancellations must be received in writing (email or letter) by noon on Friday, January 24, 2020 to receive a refund
  • No refunds will be issued after the course has begun. Substitutions may be made anytime before the beginning of the course by informing the Office of Industrial Outreach
  • If the course is cancelled, enrollees will be advised and receive a full refund
  • Allow up to 3 weeks to receive refunds