Lean Six Sigma Green Belt for Healthcare - Blended

Anyone interested in service-oriented processes typically found in healthcare industries.

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On-Site Training
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Develop a comprehensive set of Six Sigma Green Belt skills. This Lean Six Sigma Green Belt course focuses the Define-Measure-Analyze-Improve-Control (DMAIC) approach to process improvement on service-oriented processes typically found in healthcare industries. These processes include facility operations, insurance, medical device manufacturing, and financial administration, to name a few. The Green Belt body of knowledge includes techniques for both quantitative and non-quantitative analysis, as well as the team leadership skills necessary to get projects across the goal line. The lean enterprise content includes techniques for waste reduction and process acceleration.Use this course for Green Belt training or as preparation for the ASQ Six Sigma Green Belt certification exam. Numerous case studies and examples present the DMAIC methodology in healthcare, service, business process, and manufacturing applications. Selected lean enterprise and system dynamics concepts integrate with Six Sigma in this course, including value stream mapping, Takt time, line balancing, standardized work, continuous flow, Little's law, kaizen, quick changeovers, and pull scheduling. The course design has a heavy practice orientation, so you spend half of your time working through interactive practice exercises and online assessments.Note: Attendance limited to 15 attendees.

  • Learning Objectives
    • Describe the Six Sigma philosophy and methodology.
    • Define a Six Sigma project opportunity.
    • Measure a process utilizing Six Sigma techniques.
    • Analyze measurement results utilizing basic statistical concepts.
    • Apply Six Sigma techniques in the course of performance improvement work.
    • Assist others engaged in performance improvement to apply the Six Sigma concept and methodology.
    • Transition successful project outcomes to managers that will take on responsibility for monitoring and controlling process performance.
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