Lean Six Sigma for Healthcare

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1 Lean for Healthcare Yellow Belt Green Belt Black Belt Lean Fundamentals Advanced Lean for Healthcare The Lean for Healthcare Yellow Belt program is designed to provide a basic introducti to Lean Six Sigma ccepts. This program will provide participants with the skills needed to be active team members. The Lean for Healthcare Green Belt program is designed to with a working knowledge of Lean & Six Sigma. This program will provide participants with the skills needed to cduct for and facilitate routine Lean. The Lean for Healthcare Black Belt program is designed to with a in-depth understanding of Lean &. This program will provide participants with the skills needed to perform advanced statistical and facilitate complex Lean. The Lean Fundamentals for Healthcare program will introduce participates to the basic ccepts of lean manufacturing as they apply to healthcare. This program will with the skills needed to participate in basic lean or kaizen. The Advanced Lean for Healthcare program will ctinue where the Lean Fundamental for Healthcare program leaves off and will with the advanced knowledge, tools and skills need to address difficult value stream issues. Introducti: Introducti: Introducti: Introducti Introducti What is Six What is Lean What is Lean Six Brief history of What is Six What is Lean What is Lean Six Brief history of What is Six What is Lean What is Lean Six Brief history of What is Lean? Why Lean and Waste Value Value Stream Mapping Value Stream Mapping Managing the 5- S Audit Lean Math Advance flow ccepts

2 Define: problems Approaches to DMAIC Role of the Yellow between Balanced Scorecard Team dynamics Assessing the Voice of the customer (VOC) Critical to quality/one meaningful challenge Managing Stakeholder surveys Mapping the proces Define: problems Approaches to DMAIC Infrastructure to support Role of the Green Belt between Balanced Scorecard Team dynamics Facilitati skills Assessing the Voice of the customer (VOC) Critical to quality/one meaningful challenge Creating Project Charters Managing Define: problems Approaches to DMAIC Infrastructure to support Role of the Black Belt between Balanced Scorecard Team dynamics Facilitati skills Assessing the Voice of the customer (VOC) Critical to quality/one meaningful challenge Creating Project Charters Managing Ctinuous flow Theory of Cstraints Visual Ctrols Workplace design Poke-Yoke (Error Proofing) Kaizen Events (Experiments) Advance kanban and scheduling Advance errorproofing

3 Measure: : data distributis measures system Data collecti behavior Baseline performance Histograms capability Takt time 5 whys exercise Cause and effect diagrams Using Visual exploratory data o Scatter plot o Pareto Measure: Stakeholder surveys the value stream Mapping the value stream data distributis measures Sampling system -1 Data collecti Data cleaning behavior Baseline performance Histograms Ratial subgrouping capability Takt time Measure: Stakeholder surveys the value stream Mapping the value stream data distributis measures Sampling system -1 system 2 Data collecti Data cleaning behavior Baseline performance Histograms Ratial subgrouping

4 Improve: Ctrol: o Box o Mosaic o Charts and graphs What is Cfirmatory data o 4 Type of Data 4 Approac hes Brainstorming Ctinuous flow design of Error proofing Change : 5 whys exercise Cause and effect diagrams Cstructing Visual exploratory data o Scatter plot o Pareto o Box o Mosaic o Charts and graphs Cducting Cfirmatory data o Hypoth esis testing o Student s t test o ANOVA : capability Takt time 5 whys exercise Cause and effect diagrams Visual exploratory data o Scatter plot o Pareto o Box o Mosaic o Charts and graphs Cfirmatory data o Hypoth esis testing o Student s t test

5 Statistical process ctrol (SPC) Type of SPC Ctrol plans What are Best practices Improve: Ctrol: o Correlat i o Regressi o Multiple regressi o 2 Failure mode effect (FMEA) Brainstorming Ctinuous flow design of Single factor Error proofing Leading Statistical Improve: o ANOVA o Correlat i o Regressi o Multiple regressi o Logistic Regressi o o Nparamet ric testing Failure mode effect (FMEA) Brainstorming Ctinuous flow design of

6 process ctrol (SPC) between type of SPC Develop a ctrol plan Best practices Single factor Experiments Full factorial Fractial factorial Un-designed Experiments Error proofing Leading Immunities to Systems thinking Ctrol: Statistical process ctrol (SPC) between type of SPC Develop a ctrol plan Using Best practices

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