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Session 8: Continuous
Performance Improvement
Through Lean Six Sigma in the
Military Health System
 COL Angela Koelsch, FACHE, MBB,
 Process Improvement Specialist
 Strategy & Innovation Knowledge Management Officer
 angela.koelsch@us.army.mil



                                                      1
Agenda

•   Military Health System (MHS) Decision




                                            2
Agenda

•   Military Health System (MHS) Decision
•   Lean Six Sigma (LSS) Basics




                                            3
Agenda

•  Military Health System (MHS) Decision
• Lean Six Sigma (LSS) Basics
• LSS “Fits” in Strategic Performance
  Execution




                                           4
Agenda

•  Military Health System (MHS) Decision
• Lean Six Sigma (LSS) Basics
• LSS “Fits” in Strategic Performance
  Execution
• Linking Strategy to Performance Improvement




                                           5
Agenda

•  Military Health System (MHS) Decision
• Lean Six Sigma (LSS) Basics
• LSS “Fits” in Strategic Performance
  Execution
• Linking Strategy to Performance Improvement

•   Leveraging Learning Across the Organization


                                              6
Agenda

•  Military Health System (MHS) Decision
• Lean Six Sigma (LSS) Basics
• LSS “Fits” in Strategic Performance
  Execution
• Linking Strategy to Performance Improvement

•   Leveraging Learning Across the Organization
•   Early Lessons Learned

                                              7
MHS QDR Mandate




                  8
MHS QDR Mandate

 •   Select the CPI method most appropriate for
     the MHS




                                              9
MHS QDR Mandate

 •   Select the CPI method most appropriate for
     the MHS— common vocabulary, toolsets




                                             10
MHS QDR Mandate

 •   Select the CPI method most appropriate for
     the MHS— common vocabulary, toolsets
 •   Implement across all MHS components in a
     consistent fashion




                                             11
MHS QDR Mandate

 •   Select the CPI method most appropriate for
     the MHS— common vocabulary, toolsets
 •   Implement across all MHS components in a
     consistent fashion— learn, grow together




                                             12
MHS QDR Mandate

 •   Select the CPI method most appropriate for
     the MHS— common vocabulary, toolsets
 •   Implement across all MHS components in a
     consistent fashion— learn, grow together
 •   Accelerate MHS’ CPI “journey” from current
     stage



                                             13
MHS QDR Mandate

 •   Select the CPI method most appropriate for
     the MHS— common vocabulary, toolsets
 •   Implement across all MHS components in a
     consistent fashion— learn, grow together
 •   Accelerate MHS’ CPI “journey” from current
     stage— improve sooner rather than later



                                             14
Pathway to MHS Decision




                          15
Pathway to MHS Decision
• MHS QDR-9 PI Tiger Team Coordination
  • Throughout Summer 06, teeing up for SMMAC
    decision
  • No implementation consensus; LSS fait-accompli by
    Fall




                                                  16
Pathway to MHS Decision
• MHS QDR-9 PI Tiger Team Coordination
  • Throughout Summer 06, teeing up for SMMAC
    decision
  • No implementation consensus; LSS fait-accompli by
    Fall
• Execution in the Services:
  • USA: Lean Six Sigma
  • USAF: AFSO-21 (Air Force Smart Operations-21st
    Century)
  • USN/USMC: Lean Six Sigma
                                                  17
Lean Six Sigma Basics




                        18
LSS Basics
• Industry best practice management framework
  combines “Lean” and “Six Sigma” strategies




                                                19
LSS Basics
• Industry best practice management framework
  combines “Lean” and “Six Sigma” strategies
• “Lean” methods…




                                                20
LSS Basics
• Industry best practice management framework
  combines “Lean” and “Six Sigma” strategies
• “Lean” methods…
  • Remove non-value added waste from processes
  • Thus, reduce process cycle time
  • Happy customers—reduced cost!




                                                  21
LSS Basics
• Industry best practice management framework
  combines “Lean” and “Six Sigma” strategies
• “Lean” methods…
  • Remove non-value added waste from processes
  • Thus, reduce process cycle time
  • Happy customers—reduced cost!
• “Six Sigma” methods…




                                                  22
LSS Basics
• Industry best practice management framework
  combines “Lean” and “Six Sigma” strategies
• “Lean” methods…
  • Remove non-value added waste from processes
  • Thus, reduce process cycle time
  • Happy customers—reduced cost!
• “Six Sigma” methods…
  • Analyze and reduce variability in processes
  • Thus, improve quality
  • More happy customers—more reduced cost!


                                                  23
What’s Different About LSS?




                              24
Craft               Taylor –
 Eli Whitney -                                   Time/Motion
                            Production
    Product                                        Studies



                                                             …                                  LSS Builds Upon a
  Standards                                              Gilbreth
                     Industrial     Scientific
 Shewhart –         Production     Management
  Statistical


                                                                                                 Foundation
                                                        Ford –
  Methods                                               Work
                Statistical                            Analysis
             Process Control
  Juran –                              Assembly                      Simplified


                                                                                                  of Continuous
  Process                         Line Manufacturing
                                                                    Manufacturing
  Analysis
                  Quality     Organized                 Sloan –
                  Control                                                       Tunner –
                               Labor –                  Modern
 Taguchi –                                                                     Berlin Airlift
                              Worker’s                Management
 Customer


                                                                                                   Performance
                                Rights
  Focus                                    Mass                    Simplified
               Quality                   Production             Service/Process
             Engineering
                                                         Zero


                                                                                                    Improvement!
 Deming –                       Toyoda,
                                                        Defects
 Systems                         Ohno,
 Thinking                       Shingo

                TQM -
                                             Toyota              Simplified
             Total Quality                 Production           Product Line
             Management
    Smith                                   System
                             Harry –
 (Motorola) –                DMAIC
  Statistical                                         Womack
    Rigor          Six                                & Jones
                                                                          George & Wilson –
                Sigma v1                                                     Optimized
    Welch/                       Lean           George, ITT
                               Enterprise                                    Complexity
  Bossidy –                                      Industries,
Organizational                                  CAT, Xerox
Infrastructure      Six
                 Sigma v2
                                         Lean Six
                                         Sigma v1
                                                                    Lean Six
                                                                    Sigma v2


                                                                                                                25
What’s Different About LSS?
This is…




                              26
What’s Different About LSS?
This is…

• Prescriptive framework
     …vs descriptive framework




                                 27
What’s Different About LSS?
This is…

• Prescriptive framework
     …vs descriptive framework
• Trained experts leading trained project teams
     …vs reading a book and trying it on the fly




                                                   28
What’s Different About LSS?
This is…

• Prescriptive framework
     …vs descriptive framework
• Trained experts leading trained project teams
     …vs reading a book and trying it on the fly
• Execution pervades the organization
     …vs “that’s the QA Department’s job”




                                                   29
What’s Different About LSS?
This is…

• Prescriptive framework
     …vs descriptive framework
• Trained experts leading trained project teams
     …vs reading a book and trying it on the fly
• Execution pervades the organization
     …vs “that’s the QA Department’s job”
• Data-driven project selection and improvements
     …vs guessing, windage, shooting from the hip


                                                30
LSS Basics: Infrastructure
Needed to Succeed!
                                                                               Executive Steering Committee

 At each level of organizations:                                               • Senior Leader
                                                                               • Deployment Director
                                                                               • Senior Financial Mgr
                                                                               • Critical Process Owners
                                                            Organization’s     • Master Black Belt (Advisor)
                                                            Senior Leader
              Deployment
                Director

               Master             Process Owner                 Process           Process Owner
              Black Belt                                         Owner


 Black Belt                                                                  Green Belt        Green Belt
                           Black Belt
                                                  Full-time Positions         Project Team Member(s)
   Green Belt(s)                                                              Financial Analyst
   Project Team Member(s)                         Project Support             …
   Financial Analyst                              Mentor
   …

   Recommended LSS Infrastructure Based on Industry Best Practice

                                                                                                              31
LSS Basics: Training/Certification
 Multi-level/multi-phased training:
  Training:                           Training & Certification
    Executive Leader                    Green Belt
    Project Sponsor                     Black Belt
    Project ID/Selection                Master Black Belt
    Project Team/Yellow Belt
    Organizational Awareness




                                                                 32
LSS Basics: Training/Certification
 Multi-level/multi-phased training:
  Training:                                                         Training & Certification
    Executive Leader                                                  Green Belt
    Project Sponsor                                                   Black Belt
    Project ID/Selection                                              Master Black Belt
    Project Team/Yellow Belt
    Organizational Awareness
                                                                                  MBB Trng




                                                                                               Harvest Results and Share Knowledge
             Contractor Mentoring & Consulting
                                                                  Project Team Trng

                                                                BB/GB Trng

                                          Project ID & Selection Wksp

                                   Project Sponsor Trng

                           Organizational Awareness Trng

                       Executive Leader Trng

            Assessment
                               Stand-up Program                    Perform Projects

           Month 1   Month 2   Month 3   Month 4   Month 5   Month 6 Month 12 Month 18 Month 24+

                                                                                                                                     33
LSS Basics: Project Execution




                                34
LSS Basics: Project Execution
• Customer Issues/Opportunities
• Business Strategy
• Goals/Objectives
• Priorities
             Project
          Candidates




 Structured Project Selection




                                  35
LSS Basics: Project Execution
• Customer Issues/Opportunities
• Business Strategy
• Goals/Objectives
• Priorities                   Prioritized by
             Project          Leader/Mgmt
          Candidates               Team




    Structured Project Selection
          High
BENEFIT
          Med
          Low




                 EFFORT
          Low     Med     High
                                                36
LSS Basics: Project Execution
• Customer Issues/Opportunities
• Business Strategy
• Goals/Objectives
                                                Assign Project
• Priorities                   Prioritized by
                                                 to Sponsor
             Project          Leader/Mgmt
                                                 and Select
          Candidates               Team
                                                    Belt




    Structured Project Selection
          High
BENEFIT
          Med
          Low




                 EFFORT
          Low     Med     High
                                                                 37
LSS Basics: Project Execution
• Customer Issues/Opportunities
• Business Strategy
• Goals/Objectives
                                                    Assign Project
• Priorities                   Prioritized by
                                                     to Sponsor
             Project          Leader/Mgmt
                                                     and Select
          Candidates               Team
                                                        Belt




    Structured Project Selection                   DMAIC Project Management Framework
          High




                                                Define     Measure     Analyze    Improve     Control


                                        Sponsor               Define project purpose and scope
BENEFIT




                                        inspects              Measure current performance
          Med




                                        deliverables          Analyze causes & confirm with data
                                        & checkpoints         Improve by removing variation and
                                        for each
                                                                          non-value added activities
          Low




                                        phase
                 EFFORT
                                                              Control gains by standardizing
          Low     Med     High
                                                                                                       38
LSS Basics: Project Execution
• Customer Issues/Opportunities
• Business Strategy
• Goals/Objectives
                                                    Assign Project
• Priorities                   Prioritized by
                                                     to Sponsor
             Project          Leader/Mgmt
                                                     and Select
          Candidates               Team
                                                        Belt




    Structured Project Selection                   DMAIC Project Management Framework
          High




                                                Define     Measure     Analyze    Improve     Control


                                        Sponsor               Define project purpose and scope
BENEFIT




                                        inspects              Measure current performance
          Med




                                        deliverables          Analyze causes & confirm with data
                                        & checkpoints         Improve by removing variation and
                                        for each
                                                                          non-value added activities
          Low




                                        phase
                 EFFORT
                                                              Control gains by standardizing
          Low     Med     High
                                                                                                       39
LSS Basics: Project Execution
• Customer Issues/Opportunities
• Business Strategy
• Goals/Objectives
                                                    Assign Project
• Priorities                   Prioritized by
                                                     to Sponsor
             Project          Leader/Mgmt
                                                     and Select
          Candidates               Team
                                                        Belt




    Structured Project Selection                   DMAIC Project Management Framework
          High




                                                Define     Measure     Analyze    Improve     Control


                                        Sponsor               Define project purpose and scope
BENEFIT




                                        inspects              Measure current performance
          Med




                                        deliverables          Analyze causes & confirm with data
                                        & checkpoints         Improve by removing variation and
                                        for each
                                                                          non-value added activities
          Low




                                        phase
                 EFFORT
                                                              Control gains by standardizing
          Low     Med     High
                                                                                                       40
LSS Basics: Project Execution
• Customer Issues/Opportunities
• Business Strategy
• Goals/Objectives
                                                    Assign Project
• Priorities                   Prioritized by
                                                     to Sponsor
             Project          Leader/Mgmt
                                                     and Select
          Candidates               Team
                                                        Belt




    Structured Project Selection                   DMAIC Project Management Framework
          High




                                                Define     Measure     Analyze    Improve     Control


                                        Sponsor               Define project purpose and scope
BENEFIT




                                        inspects              Measure current performance
          Med




                                        deliverables          Analyze causes & confirm with data
                                        & checkpoints         Improve by removing variation and
                                        for each
                                                                          non-value added activities
          Low




                                        phase
                 EFFORT
                                                              Control gains by standardizing
          Low     Med     High
                                                                                                       41
LSS Basics: Project Execution
• Customer Issues/Opportunities
• Business Strategy
• Goals/Objectives
                                                    Assign Project
• Priorities                   Prioritized by
                                                     to Sponsor
             Project          Leader/Mgmt
                                                     and Select
          Candidates               Team
                                                        Belt




    Structured Project Selection                   DMAIC Project Management Framework
          High




                                                Define     Measure     Analyze    Improve     Control


                                        Sponsor               Define project purpose and scope
BENEFIT




                                        inspects              Measure current performance
          Med




                                        deliverables          Analyze causes & confirm with data
                                        & checkpoints         Improve by removing variation and
                                        for each
                                                                          non-value added activities
          Low




                                        phase
                 EFFORT
                                                              Control gains by standardizing
          Low     Med     High
                                                                                                       42
LSS Basics: Project Execution
• Customer Issues/Opportunities
• Business Strategy
• Goals/Objectives
                                                    Assign Project
• Priorities                   Prioritized by                            Sponsor
                                                     to Sponsor
             Project          Leader/Mgmt                                Inspects
                                                     and Select
          Candidates               Team                                  Progress
                                                        Belt




    Structured Project Selection                   DMAIC Project Management Framework
          High




                                                Define     Measure     Analyze      Improve   Control


                                        Sponsor               Define project purpose and scope
BENEFIT




                                        inspects              Measure current performance
          Med




                                        deliverables          Analyze causes & confirm with data
                                        & checkpoints         Improve by removing variation and
                                        for each
                                                                          non-value added activities
          Low




                                        phase
                 EFFORT
                                                              Control gains by standardizing
          Low     Med     High
                                                                                                       43
LSS Basics: Project Execution
• Customer Issues/Opportunities
• Business Strategy
• Goals/Objectives
                                                    Assign Project
• Priorities                   Prioritized by                            Sponsor           Results are
                                                     to Sponsor
             Project          Leader/Mgmt                                Inspects         Captured and
                                                     and Select
          Candidates               Team                                  Progress          Sustained
                                                        Belt




    Structured Project Selection                   DMAIC Project Management Framework
          High




                                                Define     Measure     Analyze      Improve   Control


                                        Sponsor               Define project purpose and scope
BENEFIT




                                        inspects              Measure current performance
          Med




                                        deliverables          Analyze causes & confirm with data
                                        & checkpoints         Improve by removing variation and
                                        for each
                                                                          non-value added activities
          Low




                                        phase
                 EFFORT
                                                              Control gains by standardizing
          Low     Med     High
                                                                                                       44
LSS Basics: Project Execution
• Customer Issues/Opportunities
• Business Strategy
• Goals/Objectives
                                                    Assign Project
• Priorities                   Prioritized by                            Sponsor           Results are
                                                     to Sponsor
             Project          Leader/Mgmt                                Inspects         Captured and
                                                     and Select
          Candidates               Team                                  Progress          Sustained
                                                        Belt




    Structured Project Selection                   DMAIC Project Management Framework
          High




                                                Define     Measure     Analyze      Improve   Control


                                        Sponsor               Define project purpose and scope
BENEFIT




                                        inspects              Measure current performance
          Med




                                        deliverables          Analyze causes & confirm with data
                                        & checkpoints         Improve by removing variation and
                                        for each
                                                                          non-value added activities
          Low




                                        phase
                 EFFORT
                                                              Control gains by standardizing
          Low     Med     High
                                                                                                       45
How LSS Could “Fit” in Your
Business Innovation Toolkit

• BSC defines USAMEDCOM’s org strategy




                                         46
How LSS Could “Fit” in Your
Business Innovation Toolkit

• BSC defines USAMEDCOM’s org strategy
  • Yours may be defined by another strategy tool




                                                    47
How LSS Could “Fit” in Your
Business Innovation Toolkit

• BSC defines USAMEDCOM’s org strategy
  • Yours may be defined by another strategy tool
• LSS fits as Performance Improvement
  Engine…




                                                    48
How LSS Could “Fit” in Your
Business Innovation Toolkit

• BSC defines USAMEDCOM’s org strategy
  • Yours may be defined by another strategy tool
• LSS fits as Performance Improvement
  Engine…
  • Evaluate objective targets, performance gaps to
    reach them




                                                      49
How LSS Could “Fit” in Your
Business Innovation Toolkit

• BSC defines USAMEDCOM’s org strategy
  • Yours may be defined by another strategy tool
• LSS fits as Performance Improvement
  Engine…
  • Evaluate objective targets, performance gaps to
    reach them
  • ID initiatives to close performance gaps




                                                      50
How LSS Could “Fit” in Your
Business Innovation Toolkit

• BSC defines USAMEDCOM’s org strategy
  • Yours may be defined by another strategy tool
• LSS fits as Performance Improvement
  Engine…
  • Evaluate objective targets, performance gaps to
    reach them
  • ID initiatives to close performance gaps
  • Those initiatives become LSS projects!



                                                      51
How LSS Could “Fit” in Your
Business Innovation Toolkit

• BSC defines USAMEDCOM’s org strategy
  • Yours may be defined by another strategy tool
• LSS fits as Performance Improvement
  Engine…
  • Evaluate objective targets, performance gaps to
    reach them
  • ID initiatives to close performance gaps
  • Those initiatives become LSS projects
• Aligns commitment, resources, and effort
  against strategically-focused projects

                                                      52
How LSS Could “Fit” in Your
Business Innovation Toolkit
 ……
• Aligns commitment, resources, and effort
  against strategically-focused projects
• The MHS is ahead of the rest of the DoD!
  • Strategy and objectives defined…MHS BSC, other
    tools
  • Data-driven decision-making is routine
  • Data-mining already part of our infrastructure




                                                 53
Challenge: Leveraging
 Learning Across the
    Organization




                        54
Knowledge
       Management
(its Best Practice Transfer component)


       our next big challenge…

                                         55
Think about it…



                  56
“Cave dwellers froze to
death on beds of coal…



          - Adapted from Carla O’Dell, If Only We Knew What We Know, p. ix.
                                                                      57
Coal was right under them!

but they couldn’t see it…
                             mine it…
                                 or use it…
             - Adapted from Carla O’Dell, If Only We Knew What We Know, p. ix.
                                                                         58
What you don’t know
really can hurt you!



        - Adapted from Carla O’Dell, If Only We Knew What We Know, p. ix.
                                                                    59
But it’s happening all over
again in the 21st Century!



            - Adapted from Carla O’Dell, If Only We Knew What We Know, p. ix.
                                                                        60
Now it’s not beds of coal…

  …it’s beds of knowledge




            - Adapted from Carla O’Dell, If Only We Knew What We Know, p. ix.
                                                                        61
they exist in all organizations!
  relatively untapped…
     relatively unmined…
         relatively unused…

              - Adapted from Carla O’Dell, If Only We Knew What We Know, p. ix.
                                                                          62
Unwarranted variation...

                     Unpredictability for patients…
     Sub-optimized
transactional outcomes…

Poor Knowledge Management
  can hurt us…here’s how…
                                   Sub-optimized
   Best Practice Transfer       clinical outcomes…
measured in years vs months…

   Misdirected (wasted) resources…
                  Incremental improvement vs
                 enterprise-wide improvement…
                                                63
Why Best Practices Don’t
Get…from If Only We Knew What We Know: The Transfer of Internal Knowledge and Best Practice, Carla O’Dell, author
    Transferred




  Why Don’t
   Why Don’t
 Best Practices
  Best Practices
       Get
 Get Transferred?
 Transferred?


                                                                                                            64
Why Best Practices Don’t
Get…from If Only We Knew What We Know: The Transfer of Internal Knowledge and Best Practice, Carla O’Dell, author
    Transferred

 • Reason #1: Ignorance…




                                                                                                            65
Why Best Practices Don’t
Get…from If Only We Knew What We Know: The Transfer of Internal Knowledge and Best Practice, Carla O’Dell, author
    Transferred

• Reason #1: Ignorance…
     • People with knowledge don’t realize others may find it useful
     • People who could benefit from knowledge don’t know others have it




                                                                                                            66
Why Best Practices Don’t
Get…from If Only We Knew What We Know: The Transfer of Internal Knowledge and Best Practice, Carla O’Dell, author
    Transferred

• Reason #1: Ignorance…
     • People with knowledge don’t realize others may find it useful
     • People who could benefit from knowledge don’t know others have it

• Reason #2: No absorptive capacity…




                                                                                                            67
Why Best Practices Don’t
Get…from If Only We Knew What We Know: The Transfer of Internal Knowledge and Best Practice, Carla O’Dell, author
    Transferred

 • Reason #1: Ignorance…
       – People with knowledge don’t realize others may find it useful
       – People who could benefit from knowledge don’t know others have it

 • Reason #2: No absorptive capacity…
       – People lack the money, time, and to make it useful to their work




                                                                                                            68
Why Best Practices Don’t
Get…from If Only We Knew What We Know: The Transfer of Internal Knowledge and Best Practice, Carla O’Dell, author
    Transferred

 • Reason #1: Ignorance…
       – People with knowledge don’t realize others may find it useful
       – People who could benefit from knowledge don’t know others have it

 • Reason #2: No absorptive capacity…
       – People lack the money, time, and resources to make it useful to their work

 • Reason #3: The lack of preexisting relationships…




                                                                                                            69
Why Best Practices Don’t
Get…from If Only We Knew What We Know: The Transfer of Internal Knowledge and Best Practice, Carla O’Dell, author
    Transferred

 • Reason #1: Ignorance…
       – People with knowledge don’t realize others may find it useful
       – People who could benefit from knowledge don’t know others have it

 • Reason #2: No absorptive capacity…
       – People lack the money, time, and resources to make it useful to their work

 • Reason #3: The lack of preexisting relationships…
       – People absorb knowledge & practice from people they know, respect, trust




                                                                                                            70
Why Best Practices Don’t
Get…from If Only We Knew What We Know: The Transfer of Internal Knowledge and Best Practice, Carla O’Dell, author
    Transferred

• Reason #1: Ignorance…
     – People with knowledge don’t realize others may find it useful
     – People who could benefit from knowledge don’t know others have it

• Reason #2: No absorptive capacity…
     – People lack the money, time, and resources to make it useful to their work

• Reason #3: The lack of preexisting relationships…
     – People absorb knowledge & practice from people they know, respect, trust

• Reason #4: Lack of motivation…




                                                                                                            71
Why Best Practices Don’t
Get…from If Only We Knew What We Know: The Transfer of Internal Knowledge and Best Practice, Carla O’Dell, author
    Transferred

 • Reason #1: Ignorance…
       – People with knowledge don’t realize others may find it useful
       – People who could benefit from knowledge don’t know others have it

 • Reason #2: No absorptive capacity…
       – People lack the money, time, and resources to make it useful to their work

 • Reason #3: The lack of preexisting relationships…
       – People absorb knowledge & practice from people they know, respect, trust

 • Reason #4: Lack of motivation…
       – People may not perceive a clear reason for pursuing the transfer




                                                                                                            72
Why Best Practices Don’t
Get…from If Only We Knew What We Know: The Transfer of Internal Knowledge and Best Practice, Carla O’Dell, author
    Transferred
• Reason #1: Ignorance…
     – People with knowledge don’t realize others may find it useful
     – People who could benefit from knowledge don’t know others have it

• Reason #2: No absorptive capacity…
     – People lack the money, time, and resources to make it useful to their work

• Reason #3: The lack of preexisting relationships…
     – People absorb knowledge & practice from people they know, respect, trust

• Reason #4: Lack of motivation…
     – People may not perceive a clear reason for pursuing the transfer
     – People must have a sense of urgency!



                                                                                                            73
An Army Medicine example:

         at a high level…
linking Organizational Strategy
  to Performance Improvement
                using
          Lean Six Sigma
                 and
     Best Practice Transfer!

                               74
75
We align all MEDCOM
 LSS projects to our
    organization’s
    strategy…our
Balanced Scorecard…




                       76
We recognize we have
a performance gap in
  Access to Care…




                   77
Value Stream #9: Improve Access & Continuity of Care
PVC #1: Maximize Value in Health Services

    Suppliers                         Inputs                              Process                             Outputs                     Customer
  • Patients                    • Need for Care                • Customer Service                     • Satisfied beneficiary        • DOD Title 10 patients
                                  (preventive, acute)                                                 • Accessible                     (e.g., Soldiers,
                                                               • Telephone Services
  • DOD                                                                                                 appointments                   retirees, families)
                                • Healthcare staff
    Healthcare                                                 • Provider Support Staff Utilization   • Standardized, utilized
                                                                                                                                     • Non-Title 10 patients
    Professionals               • Facilities and                                                        support staff
                                                               • Primary Care Exam Room                                                (e.g., civilian
                                  infrastructure                                                      • Optimized provider
                                                                 Utilization                                                           emergencies,
  • IMCOM                                                                                               productivity
                                                                                                                                       contractors, foreign
                                                               • Patient Appointing, Referral Mgt.    • Optimized referral
                                                                                                                                       officers and families,
                                                                                                        execution, delivery
                                                               • TRICARE Online Appointment                                            etc.)
                                                                                                      • Increased utilization of
                                                                                                        on-line appointment
                                                                                                        system


                                 High level process maps
                    Customer (SIPOCs) help us better focus
                                         Input Metrics           Process Metrics                                           Output Metrics

               • DOD Title 10
                              onCall Volume
                               • the problem/s in our work…
                                                       • Call Hold and Handle Times,
                                                                                                                     • Patient Satisfaction

                patients                • # of Appts. Requested               Call Abandon Rate                      • Access to Care Standards (e.g.,
                                                                                                                       achieve acute care appt. within
               • Non-Title 10           • Type of Care Requested            • Care Appointment Availability            24 hours)
                 patients
                                                                            • Schedule Availability                  • Support Staff to Primary Care
                                        • Staff Availability                                                           Provider Utilization ratio
                                        • Facility Scheduling               • Facility Availability




                                                                                                                                                                78
Value Stream #9: Improve Access & Continuity of Care
PVC #1: Maximize Value in Health Services

    Suppliers                         Inputs                              Process                             Outputs                     Customer
  • Patients                    • Need for Care                • Customer Service                     • Satisfied beneficiary        • DOD Title 10 patients
                                  (preventive, acute)                                                 • Accessible                     (e.g., Soldiers,
                                                               • Telephone Services
  • DOD                                                                                                 appointments                   retirees, families)
                                • Healthcare staff
    Healthcare                                                 • Provider Support Staff Utilization   • Standardized, utilized
                                                                                                                                     • Non-Title 10 patients
    Professionals               • Facilities and                                                        support staff
                                                               • Primary Care Exam Room                                                (e.g., civilian
                                  infrastructure                                                      • Optimized provider
                                                                 Utilization                                                           emergencies,
  • IMCOM                                                                                               productivity
                                                                                                                                       contractors, foreign
                                                               • Patient Appointing, Referral Mgt.    • Optimized referral
  …and we decided to start by
                           • TRICARE Online Appointment
                                                                                                        execution, delivery
                                                                                                                                       officers and families,
                                                                                                                                       etc.)
                                                                                                      • Increased utilization of
   improving the Telephone                                                                              on-line appointment
                                                                                                        system
     Appointing Process

                      Customer                       Input Metrics                     Process Metrics                     Output Metrics
                                        • Call Volume                                                                • Patient Satisfaction
               • DOD Title 10                                               • Call Hold and Handle Times,
                 patients               • # of Appts. Requested               Call Abandon Rate                      • Access to Care Standards (e.g.,
                                                                                                                       achieve acute care appt. within
               • Non-Title 10           • Type of Care Requested            • Care Appointment Availability            24 hours)
                 patients
                                                                            • Schedule Availability                  • Support Staff to Primary Care
                                        • Staff Availability                                                           Provider Utilization ratio
                                        • Facility Scheduling               • Facility Availability




                                                                                                                                                                79
LSS Project LD00373:
Access to Care— Improve Telephone
Appointing Process at Darnall Army Medical Center




                                 Documented in PowerSteering!

                                                            80
Project Summary: Carl R. Darnall AMC
Telephone Appointing Mark Hernandez – Black Belt Candidate

          • PROBLEM / BASELINE / GOAL                                                           • IMPROVEMENTS
   PROBLEM STATEMENT
    The telephone appointing process at CRDAMC has observed low patient            Agent scheduling changes to handle peak times
    satisfaction scores and long process hold times. Over the last six months,
                                                                                   Agent training, area setup, shift change by SOP
    it takes an average of 3:14 minutes to answer customer calls to make an
    appointment. This has led to numerous customer complaints which have           Phone menu tree and call handling improved
    led to lower patient satisfaction scores for telephone appointing services.
   BASELINE                                                                        Future ACD design requirements specified
     Army’s largest call center: 10,000+ calls a week
     Low customer satisfaction: 68%                                                               BEFORE            AFTER




                                                                                    Hold Time
     Average wait time: 3:14 minutes
     Calls answered under 90 seconds: 65%
   GOAL
     Overall call abandon rate: 26%; Peak time: 49%
     Decrease process hold time to less than 90 seconds per call
     Decrease overall abandoned call rate to less than 10%
     Decrease peak time call abandon rate to less than 25%
                   • RESULTS / BENEFITS                                            • REPLICATION / WAY-AHEAD
     Overall average hold time reduced to 33 seconds                              Performance Action Plan Completed; Access to Care
     Overall call abandon rate reduced: 3%                                         Initiative 17.2
                                                                                   Adjust MEDCOM BSC telephone appting standards NLT 20
     Peak time call abandon rate reduced: 22%
                                                                                    Apr 07
     Call volume reduced 20% due to less call backs
                                                                                   Establish CMS metric for telephone appting NLT 1 May 07
     Calls handled increased from 4700 to 7300 / week
                                                                                   Publish MEDCOM Telephone Appting Policy NLT 1 May 07
     Agent training time reduced from 6 weeks to 4 weeks
                                                                                   Replicate LSS projects across MEDCOM MTFs NLT Dec 08
     Agent turnover reduced

                                                                                                                                              81
Project Summary: Carl R. Darnall AMC
Telephone Appointing Mark Hernandez – Black Belt Candidate

          • PROBLEM / BASELINE / GOAL                                                           • IMPROVEMENTS
   PROBLEM STATEMENT
    The telephone appointing process at CRDAMC has observed low patient            Agent scheduling changes to handle peak times
    satisfaction scores and long process hold times. Over the last six months,
                                                                                   Agent training, area setup, shift change by SOP
    it takes an average of 3:14 minutes to answer customer calls to make an
    appointment. This has led to numerous customer complaints which have           Phone menu tree and call handling improved
    led to lower patient satisfaction scores for telephone appointing services.
   BASELINE                                                                        Future ACD design requirements specified
     Army’s largest call center: 10,000+ calls a week
     Low customer satisfaction: 68%
                                                                         …the initialBEFORE
                                                                                      project was
                                                                                              AFTER




                                                                                    Hold Time
     Average wait time: 3:14 minutes
     Calls answered under 90 seconds: 65%                           conducted at Fort Hood’s Carl
   GOAL
     Overall call abandon rate: 26%; Peak time: 49%
     Decrease process hold time to less than 90 seconds per call
                                                                     R. Darnall Army Medical Center
     Decrease overall abandoned call rate to less than 10%                   (CRDAMC)…
     Decrease peak time call abandon rate to less than 25%
                   • RESULTS / BENEFITS                                            • REPLICATION / WAY-AHEAD
     Overall average hold time reduced to 33 seconds                              Performance Action Plan Completed; Access to Care
     Overall call abandon rate reduced: 3%                                         Initiative 17.2
                                                                                   Adjust MEDCOM BSC telephone appting standards NLT 20
     Peak time call abandon rate reduced: 22%
                                                                                    Apr 07
     Call volume reduced 20% due to less call backs
                                                                                   Establish CMS metric for telephone appting NLT 1 May 07
     Calls handled increased from 4700 to 7300 / week
                                                                                   Publish MEDCOM Telephone Appting Policy NLT 1 May 07
     Agent training time reduced from 6 weeks to 4 weeks
                                                                                   Replicate LSS projects across MEDCOM MTFs NLT Dec 08
     Agent turnover reduced

                                                                                                                                              82
Project Summary: Carl R. Darnall AMC
Telephone Appointing Mark Hernandez – Black Belt Candidate

          • PROBLEM / BASELINE / GOAL                                                           • IMPROVEMENTS
   PROBLEM STATEMENT
    The telephone appointing process at CRDAMC has observed low patient            Agent scheduling changes to handle peak times
    satisfaction scores and long process hold times. Over the last six months,
                                                                                   Agent training, area setup, shift change by SOP
    it takes an average of 3:14 minutes to answer customer calls to make an
    appointment. This has led to numerous customer complaints which have           Phone menu tree and call handling improved
    led to lower patient satisfaction scores for telephone appointing services.
   BASELINE                                                                        Future ACD design requirements specified
     Army’s largest call center: 10,000+ calls a week
     Low customer satisfaction: 68%                                                               BEFORE            AFTER




                                                                                    Hold Time
     Average wait time: 3:14 minutes                                …high call volume, low patient
     Calls answered under 90 seconds: 65%
   GOAL
     Overall call abandon rate: 26%; Peak time: 49%
                                                                     satisfaction, long process cycle
     Decrease process hold time to less than 90 seconds per call
                                                                           time, high variation…
     Decrease overall abandoned call rate to less than 10%
     Decrease peak time call abandon rate to less than 25%
                   • RESULTS / BENEFITS                                            • REPLICATION / WAY-AHEAD
     Overall average hold time reduced to 33 seconds                              Performance Action Plan Completed; Access to Care
     Overall call abandon rate reduced: 3%                                         Initiative 17.2
                                                                                   Adjust MEDCOM BSC telephone appting standards NLT 20
     Peak time call abandon rate reduced: 22%
                                                                                    Apr 07
     Call volume reduced 20% due to less call backs
                                                                                   Establish CMS metric for telephone appting NLT 1 May 07
     Calls handled increased from 4700 to 7300 / week
                                                                                   Publish MEDCOM Telephone Appting Policy NLT 1 May 07
     Agent training time reduced from 6 weeks to 4 weeks
                                                                                   Replicate LSS projects across MEDCOM MTFs NLT Dec 08
     Agent turnover reduced

                                                                                                                                              83
Project Summary: Carl R. Darnall AMC
Telephone Appointing Mark Hernandez – Black Belt Candidate

          • PROBLEM / BASELINE / GOAL                                                           • IMPROVEMENTS
   PROBLEM STATEMENT
    The telephone appointing process at CRDAMC has observed low patient            Agent scheduling changes to handle peak times
    satisfaction scores and long process hold times. Over the last six months,
                                                                                   Agent training, area setup, shift change by SOP
    it takes an average of 3:14 minutes to answer customer calls to make an
    appointment. This has led to numerous customer complaints which have           Phone menu tree and call handling improved
    led to lower patient satisfaction scores for telephone appointing services.
   BASELINE                                                                        Future ACD design requirements specified
     Army’s largest call center: 10,000+ calls a week
     Low customer satisfaction: 68%                                                               BEFORE            AFTER




                                                                                    Hold Time
     Average wait time: 3:14 minutes                                            …the project sought to
     Calls answered under 90 seconds: 65%
   GOAL
     Overall call abandon rate: 26%; Peak time: 49%
                                                                               decrease process cycle time
     Decrease process hold time to less than 90 seconds per call
                                                                                 and call abandon rate to
     Decrease overall abandoned call rate to less than 10%
     Decrease peak time call abandon rate to less than 25%                   improve patient satisfaction…
                  • RESULTS / BENEFITS                                             • REPLICATION / WAY-AHEAD
     Overall average hold time reduced to 33 seconds                              Performance Action Plan Completed; Access to Care
     Overall call abandon rate reduced: 3%                                         Initiative 17.2
                                                                                   Adjust MEDCOM BSC telephone appting standards NLT 20
     Peak time call abandon rate reduced: 22%
                                                                                    Apr 07
     Call volume reduced 20% due to less call backs
                                                                                   Establish CMS metric for telephone appting NLT 1 May 07
     Calls handled increased from 4700 to 7300 / week
                                                                                   Publish MEDCOM Telephone Appting Policy NLT 1 May 07
     Agent training time reduced from 6 weeks to 4 weeks
                                                                                   Replicate LSS projects across MEDCOM MTFs NLT Dec 08
     Agent turnover reduced

                                                                                                                                              84
Project Summary: Carl R. Darnall AMC
Telephone Appointing Mark Hernandez – Black Belt Candidate

          • PROBLEM / BASELINE / GOAL                                                           • IMPROVEMENTS
   PROBLEM STATEMENT
    The telephone appointing process at CRDAMC has observed low patient            Agent scheduling changes to handle peak times
    satisfaction scores and long process hold times. Over the last six months,
                                                                                   Agent training, area setup, shift change by SOP
    it takes an average of 3:14 minutes to answer customer calls to make an
    appointment. This has led to numerous customer complaints which have           Phone menu tree and call handling improved
    led to lower patient satisfaction scores for telephone appointing services.
   BASELINE                                                                        Future ACD design requirements specified
     Army’s largest call center: 10,000+ calls a week                                                                           WOW
     Low customer satisfaction: 68%                                                               BEFORE            AFTER




                                                                                    Hold Time
     Average wait time: 3:14 minutes
     Calls answered under 90 seconds: 65%
   GOAL
     Overall call abandon rate: 26%; Peak time: 49%
     Decrease process hold time to less than 90 seconds per call
     Decrease overall abandoned call rate to less than 10%
     Decrease peak time call abandon rate to less than 25%
                   • RESULTS / BENEFITS                                            • REPLICATION / WAY-AHEAD
     Overall average hold time reduced to 33 seconds                              Performance Action Plan Completed; Access to Care
     Overall call abandon rate reduced: 3%                                         Initiative 17.2
                                                                                   Adjust MEDCOM BSC telephone appting standards NLT 20
     Peak time call abandon rate reduced: 22%
                                                                                    Apr 07
     Call volume reduced 20% due to less call backs
                                                                                   Establish CMS metric for telephone appting NLT 1 May 07
     Calls handled increased from 4700 to 7300 / week
                                                                                   Publish MEDCOM Telephone Appting Policy NLT 1 May 07
     Agent training time reduced from 6 weeks to 4 weeks
                                                                                   Replicate LSS projects across MEDCOM MTFs NLT Dec 08
     Agent turnover reduced

                                                                                                                                              85
Project Summary: Carl R. Darnall AMC
Telephone Appointing Mark Hernandez – Black Belt Candidate

          • PROBLEM / BASELINE / GOAL                                                           • IMPROVEMENTS
   PROBLEM STATEMENT
    The telephone appointing process at CRDAMC has observed low patient            Agent scheduling changes to handle peak times
    satisfaction scores and long process hold times. Over the last six months,
                                                                                   Agent training, area setup, shift change by SOP
    it takes an average of 3:14 minutes to answer customer calls to make an
    appointment. This has led to numerous customer complaints which have           Phone menu tree and call handling improved
    led to lower patient satisfaction scores for telephone appointing services.
   BASELINE                                                                        Future ACD design requirements specified
     Army’s largest call center: 10,000+ calls a week
     Low customer satisfaction: 68%                                                               BEFORE            AFTER




                                                                                    Hold Time
     Average wait time: 3:14 minutes                                    7-Fold
     Calls answered under 90 seconds: 65%
   GOAL                                                               Improvement
     Overall call abandon rate: 26%; Peak time: 49%
     Decrease process hold time to less than 90 seconds per call
     Decrease overall abandoned call rate to less than 10%
     Decrease peak time call abandon rate to less than 25%
                  • RESULTS / BENEFITS                                             • REPLICATION / WAY-AHEAD
     Overall average hold time reduced to 33 seconds                              Performance Action Plan Completed; Access to Care
     Overall call abandon rate reduced: 3%                                         Initiative 17.2
                                                                                   Adjust MEDCOM BSC telephone appting standards NLT 20
     Peak time call abandon rate reduced: 22%
                                                                                    Apr 07
     Call volume reduced 20% due to less call backs
                                                                                   Establish CMS metric for telephone appting NLT 1 May 07
     Calls handled increased from 4700 to 7300 / week
                                                                                   Publish MEDCOM Telephone Appting Policy NLT 1 May 07
     Agent training time reduced from 6 weeks to 4 weeks
                                                                                   Replicate LSS projects across MEDCOM MTFs NLT Dec 08
     Agent turnover reduced

                                                                                                                                              86
Project Summary: Carl R. Darnall AMC
Telephone Appointing Mark Hernandez – Black Belt Candidate

          • PROBLEM / BASELINE / GOAL                                                           • IMPROVEMENTS
   PROBLEM STATEMENT
    The telephone appointing process at CRDAMC has observed low patient            Agent scheduling changes to handle peak times
    satisfaction scores and long process hold times. Over the last six months,
                                                                                   Agent training, area setup, shift change by SOP
    it takes an average of 3:14 minutes to answer customer calls to make an
    appointment. This has led to numerous customer complaints which have           Phone menu tree and call handling improved
    led to lower patient satisfaction scores for telephone appointing services.
   BASELINE                                                                        Future ACD design requirements specified
     Army’s largest call center: 10,000+ calls a week
     Low customer satisfaction: 68%                                                               BEFORE            AFTER




                                                                                    Hold Time
     Average wait time: 3:14 minutes
     Calls answered under 90 seconds: 65%
   GOAL
     Overall call abandon rate: 26%; Peak time: 49%
                                                                    10-Fold
     Decrease process hold time to less than 90 seconds per call Improvement
     Decrease overall abandoned call rate to less than 10%
     Decrease peak time call abandon rate to less than 25%
                  • RESULTS / BENEFITS                                             • REPLICATION / WAY-AHEAD
     Overall average hold time reduced to 33 seconds                              Performance Action Plan Completed; Access to Care
     Overall call abandon rate reduced: 3%                                         Initiative 17.2
                                                                                   Adjust MEDCOM BSC telephone appting standards NLT 20
     Peak time call abandon rate reduced: 22%
                                                                                    Apr 07
     Call volume reduced 20% due to less call backs
                                                                                   Establish CMS metric for telephone appting NLT 1 May 07
     Calls handled increased from 4700 to 7300 / week
                                                                                   Publish MEDCOM Telephone Appting Policy NLT 1 May 07
     Agent training time reduced from 6 weeks to 4 weeks
                                                                                   Replicate LSS projects across MEDCOM MTFs NLT Dec 08
     Agent turnover reduced

                                                                                                                                              87
Project Summary: Carl R. Darnall AMC
Telephone Appointing Mark Hernandez – Black Belt Candidate

          • PROBLEM / BASELINE / GOAL                                                           • IMPROVEMENTS
   PROBLEM STATEMENT
    The telephone appointing process at CRDAMC has observed low patient            Agent scheduling changes to handle peak times
    satisfaction scores and long process hold times. Over the last six months,
                                                                                   Agent training, area setup, shift change by SOP
    it takes an average of 3:14 minutes to answer customer calls to make an
    appointment. This has led to numerous customer complaints which have           Phone menu tree and call handling improved
    led to lower patient satisfaction scores for telephone appointing services.
   BASELINE                                                                        Future ACD design requirements specified
     Army’s largest call center: 10,000+ calls a week
     Low customer satisfaction: 68%                                                               BEFORE            AFTER




                                                                                    Hold Time
     Average wait time: 3:14 minutes
     Calls answered under 90 seconds: 65%
   GOAL
     Overall call abandon rate: 26%; Peak time: 49%
     Decrease process hold time to less than 90 seconds per call
                                                                       >2-Fold
     Decrease overall abandoned call rate to less than 10%          Improvement
     Decrease peak time call abandon rate to less than 25%
                   • RESULTS / BENEFITS                                            • REPLICATION / WAY-AHEAD
     Overall average hold time reduced to 33 seconds                              Performance Action Plan Completed; Access to Care
     Overall call abandon rate reduced: 3%                                         Initiative 17.2
                                                                                   Adjust MEDCOM BSC telephone appting standards NLT 20
     Peak time call abandon rate reduced: 22%
                                                                                    Apr 07
     Call volume reduced 20% due to less call backs
                                                                                   Establish CMS metric for telephone appting NLT 1 May 07
     Calls handled increased from 4700 to 7300 / week
                                                                                   Publish MEDCOM Telephone Appting Policy NLT 1 May 07
     Agent training time reduced from 6 weeks to 4 weeks
                                                                                   Replicate LSS projects across MEDCOM MTFs NLT Dec 08
     Agent turnover reduced

                                                                                                                                              88
Project Summary: Carl R. Darnall AMC
Telephone Appointing Mark Hernandez – Black Belt Candidate

          • PROBLEM / BASELINE / GOAL                                                           • IMPROVEMENTS
   PROBLEM STATEMENT
    The telephone appointing process at CRDAMC has observed low patient            Agent scheduling changes to handle peak times
    satisfaction scores and long process hold times. Over the last six months,
                                                                                   Agent training, area setup, shift change by SOP
    it takes an average of 3:14 minutes to answer customer calls to make an
    appointment. This has led to numerous customer complaints which have           Phone menu tree and call handling improved
    led to lower patient satisfaction scores for telephone appointing services.
   BASELINE            Disciplined, Corporate                                      Future ACD design requirements specified

                       Action to Harvest and
     Army’s largest call center: 10,000+ calls a week
     Low customer satisfaction: 68%                                                               BEFORE                AFTER
                             Replicate Across




                                                                                    Hold Time
     Average wait time: 3:14 minutes
                                   MEDCOM
     Calls answered under 90 seconds: 65%
   GOAL
     Overall call abandon rate: 26%; Peak time: 49%
     Decrease process hold time to less than 90 seconds per call
     Decrease overall abandoned call rate to less than 10%
     Decrease peak time call abandon rate to less than 25%
                   • RESULTS / BENEFITS                                            • REPLICATION / WAY-AHEAD
     Overall average hold time reduced to 33 seconds                              Performance Action Plan Completed; Access to Care
     Overall call abandon rate reduced: 3%                                         Initiative 17.2
                                                                                   Adjust MEDCOM BSC telephone appting standards
     Peak time call abandon rate reduced: 22%
                                                                                   Establish CMS metric for telephone
     Call volume reduced 20% due to less call backs
                                                                                   Publish MEDCOM Telephone Appting Policy NLT 1 May 08
     Calls handled increased from 4700 to 7300 / week
                                                                                   Replicate LSS projects across MEDCOM MTFs NLT Jun 09
     Agent training time reduced from 6 weeks to 4 weeks
     Agent turnover reduced

                                                                                                                                           89
Project Summary: Carl R. Darnall AMC
Telephone Appointing Mark Hernandez – Black Belt Candidate

          • PROBLEM / BASELINE / GOAL                                                           • IMPROVEMENTS
   PROBLEM STATEMENT
    The telephone appointing process at CRDAMC has observed low patient            Agent scheduling changes to handle peak times
    satisfaction scores and long process hold times. Over the last six months,
                                                                                   Agent training, area setup, shift change by SOP
    it takes an average of 3:14 minutes to answer customer calls to make an
                                          A project result not anticipated… and call handling improved
                                                                 Phone menu tree
    appointment. This has led to numerous customer complaints which have
    led to lower patient satisfaction scores for telephone appointing services.
   BASELINE                                                                        Future ACD design requirements specified
     Army’s largest call center: 10,000+ calls a week
     Low customer satisfaction: 68%                                                               BEFORE            AFTER




                                                                                    Hold Time
     Average wait time: 3:14 minutes
     Calls answered under 90 seconds: 65%
   GOAL
     Overall call abandon rate: 26%; Peak time: 49%
     Decrease process hold time to less than 90 seconds per call
     Decrease overall abandoned call rate to less than 10%
     Decrease peak time call abandon rate to less than 25%
                   • RESULTS / BENEFITS                                            • REPLICATION / WAY-AHEAD
     Overall average hold time reduced to 33 seconds                              Performance Action Plan Completed; Access to Care
     Overall call abandon rate reduced: 3%                                         Initiative 17.2
                                                                                   Adjust MEDCOM BSC telephone appting standards NLT 20
     Peak time call abandon rate reduced: 22%
                                                                                    Apr 07
     Call volume reduced 20% due to less call backs
                                                                                   Establish CMS metric for telephone appting NLT 1 May 07
     Calls handled increased from 4700 to 7300 / week
                                                                                   Publish MEDCOM Telephone Appting Policy NLT 1 May 07
     Agent training time reduced from 6 weeks to 4 weeks
                                                                                   Replicate LSS projects across MEDCOM MTFs NLT Dec 08
     Agent turnover reduced

                                                                                                                                              90
Project Summary: Carl R. Darnall AMC
Telephone Appointing Mark Hernandez – Black Belt Candidate

          • PROBLEM / BASELINE / GOAL                                                           • IMPROVEMENTS
   PROBLEM STATEMENT
    The telephone appointing process at CRDAMC has observed low patient            Agent scheduling changes to handle peak times
    satisfaction scores and long process hold times. Over the last six months,
                                                                                   Agent training, area setup, shift change by SOP
    it takes an average of 3:14 minutes to answer customer calls to make an
                                          A project result not anticipated… and call handling improved
                                                                 Phone menu tree
    appointment. This has led to numerous customer complaints which have
    led to lower patient satisfaction scores for telephone appointing services.
   BASELINE                                                                        Future ACD design requirements specified
                                        Although patient satisfaction with
     Army’s largest call center: 10,000+ calls a week
     Low customer satisfaction: 68% telephone appointing improved,    BEFORE                                        AFTER




                                                                                    Hold Time
     Average wait time: 3:14 minutes overall patient satisfaction at
     Calls answered under 90 seconds: 65%
   GOAL                                 Darnall decreased!
     Overall call abandon rate: 26%; Peak time: 49%
     Decrease process hold time to less than 90 seconds per call
     Decrease overall abandoned call rate to less than 10%
     Decrease peak time call abandon rate to less than 25%
                   • RESULTS / BENEFITS                                            • REPLICATION / WAY-AHEAD
     Overall average hold time reduced to 33 seconds                              Performance Action Plan Completed; Access to Care
     Overall call abandon rate reduced: 3%                                         Initiative 17.2
                                                                                   Adjust MEDCOM BSC telephone appting standards NLT 20
     Peak time call abandon rate reduced: 22%
                                                                                    Apr 07
     Call volume reduced 20% due to less call backs
                                                                                   Establish CMS metric for telephone appting NLT 1 May 07
     Calls handled increased from 4700 to 7300 / week
                                                                                   Publish MEDCOM Telephone Appting Policy NLT 1 May 07
     Agent training time reduced from 6 weeks to 4 weeks
                                                                                   Replicate LSS projects across MEDCOM MTFs NLT Dec 08
     Agent turnover reduced

                                                                                                                                              91
Project Summary: Carl R. Darnall AMC
Telephone Appointing Mark Hernandez – Black Belt Candidate

          • PROBLEM / BASELINE / GOAL                                                           • IMPROVEMENTS
   PROBLEM STATEMENT
    The telephone appointing process at CRDAMC has observed low patient            Agent scheduling changes to handle peak times
    satisfaction scores and long process hold times. Over the last six months,
                                                                                   Agent training, area setup, shift change by SOP
    it takes an average of 3:14 minutes to answer customer calls to make an
                                          A project result not anticipated… and call handling improved
                                                                 Phone menu tree
    appointment. This has led to numerous customer complaints which have
    led to lower patient satisfaction scores for telephone appointing services.
   BASELINE                                                                        Future ACD design requirements specified
                                        Although patient satisfaction with
     Army’s largest call center: 10,000+ calls a week
     Low customer satisfaction: 68% telephone appointing improved,    BEFORE                                        AFTER




                                                                                    Hold Time
     Average wait time: 3:14 minutes overall patient satisfaction at
     Calls answered under 90 seconds: 65%
   GOAL                                 Darnall decreased!
     Overall call abandon rate: 26%; Peak time: 49%
     Decrease process hold time to less than 90 seconds per call
                                          Patients’ phone calls were now
     Decrease overall abandoned call rate to less than 10%
                                          being answered quicker, only to be
     Decrease peak time call abandon rate to less than 25%
                    • RESULTS / BENEFITS                          • REPLICATION / WAY-AHEAD
                                          told Darnall had no appointment
     Overall average hold time reduced to 33 seconds            Performance Action Plan Completed; Access to Care
                                          available!
     Overall call abandon rate reduced: 3%                       Initiative 17.2
                                                                                   Adjust MEDCOM BSC telephone appting standards NLT 20
     Peak time call abandon rate reduced: 22%
                                                                                    Apr 07
     Call volume reduced 20% due to less call backs
                                                                                   Establish CMS metric for telephone appting NLT 1 May 07
     Calls handled increased from 4700 to 7300 / week
                                                                                   Publish MEDCOM Telephone Appting Policy NLT 1 May 07
     Agent training time reduced from 6 weeks to 4 weeks
                                                                                   Replicate LSS projects across MEDCOM MTFs NLT Dec 08
     Agent turnover reduced

                                                                                                                                              92
Project Summary: Carl R. Darnall AMC
Telephone Appointing Mark Hernandez – Black Belt Candidate

          • PROBLEM / BASELINE / GOAL                                                           • IMPROVEMENTS
   PROBLEM STATEMENT
    The telephone appointing process at CRDAMC has observed low patient            Agent scheduling changes to handle peak times
    satisfaction scores and long process hold times. Over the last six months,
                                                                                   Agent training, area setup, shift change by SOP
    it takes an average of 3:14 minutes to answer customer calls to make an
                                          Teaching Point:
    appointment. This has led to numerous customer complaints which have
    led to lower patient satisfaction scores for telephone appointing services.
                                                                                   Phone menu tree and call handling improved

   BASELINE                                                                        Future ACD design requirements specified
                                          Ofttimes you must consider the
     Army’s largest call center: 10,000+ calls a week
     Low customer satisfaction: 68%      project dependencies along the BEFORE                                      AFTER




                                                                                    Hold Time
     Average wait time: 3:14 minutes     value stream…
     Calls answered under 90 seconds: 65%
   GOAL
     Overall call abandon rate: 26%; Peak time: solution
                                        The 49%                 set from Project B
     Decrease process hold time to less than 90 seconds per call
     Decrease overall abandoned call rate to less than 10% be realized before the
                                          may best
                                          solution set from Project A!
     Decrease peak time call abandon rate to less than 25%
                   • RESULTS / BENEFITS                                            • REPLICATION / WAY-AHEAD
     Overall average hold time reduced to 33 seconds                              Performance Action Plan Completed; Access to Care
     Overall call abandon rate reduced: 3%                                         Initiative 17.2
                                                                                   Adjust MEDCOM BSC telephone appting standards NLT 20
     Peak time call abandon rate reduced: 22%
                                                                                    Apr 07
     Call volume reduced 20% due to less call backs
                                                                                   Establish CMS metric for telephone appting NLT 1 May 07
     Calls handled increased from 4700 to 7300 / week
                                                                                   Publish MEDCOM Telephone Appting Policy NLT 1 May 07
     Agent training time reduced from 6 weeks to 4 weeks
                                                                                   Replicate LSS projects across MEDCOM MTFs NLT Dec 08
     Agent turnover reduced

                                                                                                                                              93
Project Summary: Carl R. Darnall AMC
Telephone Appointing Mark Hernandez – Black Belt Candidate

          • PROBLEM / BASELINE / GOAL                                                           • IMPROVEMENTS
   PROBLEM STATEMENT
    The telephone appointing process at CRDAMC has observed low patient            Agent scheduling changes to handle peak times
    satisfaction scores and long process hold times. Over the last six months,
                                                                                   Agent training, area setup, shift change by SOP
    it takes an average of 3:14 minutes to answer customer calls to make an
    appointment. This has led to numerous customer complaints which have           Phone menu tree and call handling improved
    led to lower patient satisfaction scores for telephone appointing services.
   BASELINE                                                                        Future ACD design requirements specified
     Army’s largest call center: 10,000+ calls a week
     Low customer satisfaction: 68%                                                               BEFORE            AFTER




                                                                                    Hold Time
     Average wait time: 3:14 minutes



                                           And Today?
     Calls answered under 90 seconds: 65%
   GOAL
     Overall call abandon rate: 26%; Peak time: 49%
     Decrease process hold time to less than 90 seconds per call
     Decrease overall abandoned call rate to less than 10%
     Decrease peak time call abandon rate to less than 25%
                   • RESULTS / BENEFITS                                            • REPLICATION / WAY-AHEAD
     Overall average hold time reduced to 33 seconds                              Performance Action Plan Completed; Access to Care
     Overall call abandon rate reduced: 3%                                         Initiative 17.2
                                                                                   Adjust MEDCOM BSC telephone appting standards NLT 20
     Peak time call abandon rate reduced: 22%
                                                                                    Apr 07
     Call volume reduced 20% due to less call backs
                                                                                   Establish CMS metric for telephone appting NLT 1 May 07
     Calls handled increased from 4700 to 7300 / week
                                                                                   Publish MEDCOM Telephone Appting Policy NLT 1 May 07
     Agent training time reduced from 6 weeks to 4 weeks
                                                                                   Replicate LSS projects across MEDCOM MTFs NLT Dec 08
     Agent turnover reduced

                                                                                                                                              94
Project Summary: Carl R. Darnall AMC
Telephone Appointing Mark Hernandez – Black Belt Candidate

          • PROBLEM / BASELINE / GOAL                                                           • IMPROVEMENTS
   PROBLEM STATEMENT
    The telephone appointing process at CRDAMC has observed low patient            Agent scheduling changes to handle peak times
    satisfaction scores and long process hold times. Over the last six months,
                                                                                   Agent training, area setup, shift change by SOP
    it takes an average of 3:14 minutes to answer customer calls to make an
    appointment. This has led to numerous customer complaints which have           Phone menu tree and call handling improved
    led to lower patient satisfaction scores for telephone appointing services.
   BASELINE                                                                        Future ACD design requirements specified


                                            Mean Hold Time at BEFORE
     Army’s largest call center: 10,000+ calls a week
     Low customer satisfaction: 68%                                                                                 AFTER
                                              CRDAMC =




                                                                                    Hold Time
     Average wait time: 3:14 minutes
     Calls answered under 90 seconds: 65%
   GOAL
                                               3 seconds!
     Overall call abandon rate: 26%; Peak time: 49%
     Decrease process hold time to less than 90 seconds per call
     Decrease overall abandoned call rate to less than 10%
     Decrease peak time call abandon rate to less than 25%
                   • RESULTS / BENEFITS                                            • REPLICATION / WAY-AHEAD
     Overall average hold time reduced to 33 seconds                              Performance Action Plan Completed; Access to Care
     Overall call abandon rate reduced: 3%                                         Initiative 17.2
                                                                                   Adjust MEDCOM BSC telephone appting standards NLT 20
     Peak time call abandon rate reduced: 22%
                                                                                    Apr 07
     Call volume reduced 20% due to less call backs
                                                                                   Establish CMS metric for telephone appting NLT 1 May 07
     Calls handled increased from 4700 to 7300 / week
                                                                                   Publish MEDCOM Telephone Appting Policy NLT 1 May 07
     Agent training time reduced from 6 weeks to 4 weeks
                                                                                   Replicate LSS projects across MEDCOM MTFs NLT Dec 08
     Agent turnover reduced

                                                                                                                                              95
Session 8 - Introduction to Lean Six Sigma
Session 8 - Introduction to Lean Six Sigma
Session 8 - Introduction to Lean Six Sigma
Session 8 - Introduction to Lean Six Sigma
Session 8 - Introduction to Lean Six Sigma
Session 8 - Introduction to Lean Six Sigma
Session 8 - Introduction to Lean Six Sigma
Session 8 - Introduction to Lean Six Sigma
Session 8 - Introduction to Lean Six Sigma
Session 8 - Introduction to Lean Six Sigma
Session 8 - Introduction to Lean Six Sigma
Session 8 - Introduction to Lean Six Sigma
Session 8 - Introduction to Lean Six Sigma
Session 8 - Introduction to Lean Six Sigma
Session 8 - Introduction to Lean Six Sigma
Session 8 - Introduction to Lean Six Sigma
Session 8 - Introduction to Lean Six Sigma
Session 8 - Introduction to Lean Six Sigma
Session 8 - Introduction to Lean Six Sigma
Session 8 - Introduction to Lean Six Sigma
Session 8 - Introduction to Lean Six Sigma
Session 8 - Introduction to Lean Six Sigma
Session 8 - Introduction to Lean Six Sigma
Session 8 - Introduction to Lean Six Sigma
Session 8 - Introduction to Lean Six Sigma
Session 8 - Introduction to Lean Six Sigma
Session 8 - Introduction to Lean Six Sigma
Session 8 - Introduction to Lean Six Sigma
Session 8 - Introduction to Lean Six Sigma
Session 8 - Introduction to Lean Six Sigma
Session 8 - Introduction to Lean Six Sigma
Session 8 - Introduction to Lean Six Sigma
Session 8 - Introduction to Lean Six Sigma
Session 8 - Introduction to Lean Six Sigma
Session 8 - Introduction to Lean Six Sigma
Session 8 - Introduction to Lean Six Sigma
Session 8 - Introduction to Lean Six Sigma
Session 8 - Introduction to Lean Six Sigma
Session 8 - Introduction to Lean Six Sigma
Session 8 - Introduction to Lean Six Sigma
Session 8 - Introduction to Lean Six Sigma
Session 8 - Introduction to Lean Six Sigma
Session 8 - Introduction to Lean Six Sigma
Session 8 - Introduction to Lean Six Sigma
Session 8 - Introduction to Lean Six Sigma
Session 8 - Introduction to Lean Six Sigma
Session 8 - Introduction to Lean Six Sigma
Session 8 - Introduction to Lean Six Sigma

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Session 8 - Introduction to Lean Six Sigma

  • 1. Session 8: Continuous Performance Improvement Through Lean Six Sigma in the Military Health System COL Angela Koelsch, FACHE, MBB, Process Improvement Specialist Strategy & Innovation Knowledge Management Officer angela.koelsch@us.army.mil 1
  • 2. Agenda • Military Health System (MHS) Decision 2
  • 3. Agenda • Military Health System (MHS) Decision • Lean Six Sigma (LSS) Basics 3
  • 4. Agenda • Military Health System (MHS) Decision • Lean Six Sigma (LSS) Basics • LSS “Fits” in Strategic Performance Execution 4
  • 5. Agenda • Military Health System (MHS) Decision • Lean Six Sigma (LSS) Basics • LSS “Fits” in Strategic Performance Execution • Linking Strategy to Performance Improvement 5
  • 6. Agenda • Military Health System (MHS) Decision • Lean Six Sigma (LSS) Basics • LSS “Fits” in Strategic Performance Execution • Linking Strategy to Performance Improvement • Leveraging Learning Across the Organization 6
  • 7. Agenda • Military Health System (MHS) Decision • Lean Six Sigma (LSS) Basics • LSS “Fits” in Strategic Performance Execution • Linking Strategy to Performance Improvement • Leveraging Learning Across the Organization • Early Lessons Learned 7
  • 9. MHS QDR Mandate • Select the CPI method most appropriate for the MHS 9
  • 10. MHS QDR Mandate • Select the CPI method most appropriate for the MHS— common vocabulary, toolsets 10
  • 11. MHS QDR Mandate • Select the CPI method most appropriate for the MHS— common vocabulary, toolsets • Implement across all MHS components in a consistent fashion 11
  • 12. MHS QDR Mandate • Select the CPI method most appropriate for the MHS— common vocabulary, toolsets • Implement across all MHS components in a consistent fashion— learn, grow together 12
  • 13. MHS QDR Mandate • Select the CPI method most appropriate for the MHS— common vocabulary, toolsets • Implement across all MHS components in a consistent fashion— learn, grow together • Accelerate MHS’ CPI “journey” from current stage 13
  • 14. MHS QDR Mandate • Select the CPI method most appropriate for the MHS— common vocabulary, toolsets • Implement across all MHS components in a consistent fashion— learn, grow together • Accelerate MHS’ CPI “journey” from current stage— improve sooner rather than later 14
  • 15. Pathway to MHS Decision 15
  • 16. Pathway to MHS Decision • MHS QDR-9 PI Tiger Team Coordination • Throughout Summer 06, teeing up for SMMAC decision • No implementation consensus; LSS fait-accompli by Fall 16
  • 17. Pathway to MHS Decision • MHS QDR-9 PI Tiger Team Coordination • Throughout Summer 06, teeing up for SMMAC decision • No implementation consensus; LSS fait-accompli by Fall • Execution in the Services: • USA: Lean Six Sigma • USAF: AFSO-21 (Air Force Smart Operations-21st Century) • USN/USMC: Lean Six Sigma 17
  • 18. Lean Six Sigma Basics 18
  • 19. LSS Basics • Industry best practice management framework combines “Lean” and “Six Sigma” strategies 19
  • 20. LSS Basics • Industry best practice management framework combines “Lean” and “Six Sigma” strategies • “Lean” methods… 20
  • 21. LSS Basics • Industry best practice management framework combines “Lean” and “Six Sigma” strategies • “Lean” methods… • Remove non-value added waste from processes • Thus, reduce process cycle time • Happy customers—reduced cost! 21
  • 22. LSS Basics • Industry best practice management framework combines “Lean” and “Six Sigma” strategies • “Lean” methods… • Remove non-value added waste from processes • Thus, reduce process cycle time • Happy customers—reduced cost! • “Six Sigma” methods… 22
  • 23. LSS Basics • Industry best practice management framework combines “Lean” and “Six Sigma” strategies • “Lean” methods… • Remove non-value added waste from processes • Thus, reduce process cycle time • Happy customers—reduced cost! • “Six Sigma” methods… • Analyze and reduce variability in processes • Thus, improve quality • More happy customers—more reduced cost! 23
  • 25. Craft Taylor – Eli Whitney - Time/Motion Production Product Studies … LSS Builds Upon a Standards Gilbreth Industrial Scientific Shewhart – Production Management Statistical Foundation Ford – Methods Work Statistical Analysis Process Control Juran – Assembly Simplified of Continuous Process Line Manufacturing Manufacturing Analysis Quality Organized Sloan – Control Tunner – Labor – Modern Taguchi – Berlin Airlift Worker’s Management Customer Performance Rights Focus Mass Simplified Quality Production Service/Process Engineering Zero Improvement! Deming – Toyoda, Defects Systems Ohno, Thinking Shingo TQM - Toyota Simplified Total Quality Production Product Line Management Smith System Harry – (Motorola) – DMAIC Statistical Womack Rigor Six & Jones George & Wilson – Sigma v1 Optimized Welch/ Lean George, ITT Enterprise Complexity Bossidy – Industries, Organizational CAT, Xerox Infrastructure Six Sigma v2 Lean Six Sigma v1 Lean Six Sigma v2 25
  • 26. What’s Different About LSS? This is… 26
  • 27. What’s Different About LSS? This is… • Prescriptive framework …vs descriptive framework 27
  • 28. What’s Different About LSS? This is… • Prescriptive framework …vs descriptive framework • Trained experts leading trained project teams …vs reading a book and trying it on the fly 28
  • 29. What’s Different About LSS? This is… • Prescriptive framework …vs descriptive framework • Trained experts leading trained project teams …vs reading a book and trying it on the fly • Execution pervades the organization …vs “that’s the QA Department’s job” 29
  • 30. What’s Different About LSS? This is… • Prescriptive framework …vs descriptive framework • Trained experts leading trained project teams …vs reading a book and trying it on the fly • Execution pervades the organization …vs “that’s the QA Department’s job” • Data-driven project selection and improvements …vs guessing, windage, shooting from the hip 30
  • 31. LSS Basics: Infrastructure Needed to Succeed! Executive Steering Committee At each level of organizations: • Senior Leader • Deployment Director • Senior Financial Mgr • Critical Process Owners Organization’s • Master Black Belt (Advisor) Senior Leader Deployment Director Master Process Owner Process Process Owner Black Belt Owner Black Belt Green Belt Green Belt Black Belt Full-time Positions Project Team Member(s) Green Belt(s) Financial Analyst Project Team Member(s) Project Support … Financial Analyst Mentor … Recommended LSS Infrastructure Based on Industry Best Practice 31
  • 32. LSS Basics: Training/Certification Multi-level/multi-phased training: Training: Training & Certification Executive Leader Green Belt Project Sponsor Black Belt Project ID/Selection Master Black Belt Project Team/Yellow Belt Organizational Awareness 32
  • 33. LSS Basics: Training/Certification Multi-level/multi-phased training: Training: Training & Certification Executive Leader Green Belt Project Sponsor Black Belt Project ID/Selection Master Black Belt Project Team/Yellow Belt Organizational Awareness MBB Trng Harvest Results and Share Knowledge Contractor Mentoring & Consulting Project Team Trng BB/GB Trng Project ID & Selection Wksp Project Sponsor Trng Organizational Awareness Trng Executive Leader Trng Assessment Stand-up Program Perform Projects Month 1 Month 2 Month 3 Month 4 Month 5 Month 6 Month 12 Month 18 Month 24+ 33
  • 34. LSS Basics: Project Execution 34
  • 35. LSS Basics: Project Execution • Customer Issues/Opportunities • Business Strategy • Goals/Objectives • Priorities Project Candidates Structured Project Selection 35
  • 36. LSS Basics: Project Execution • Customer Issues/Opportunities • Business Strategy • Goals/Objectives • Priorities Prioritized by Project Leader/Mgmt Candidates Team Structured Project Selection High BENEFIT Med Low EFFORT Low Med High 36
  • 37. LSS Basics: Project Execution • Customer Issues/Opportunities • Business Strategy • Goals/Objectives Assign Project • Priorities Prioritized by to Sponsor Project Leader/Mgmt and Select Candidates Team Belt Structured Project Selection High BENEFIT Med Low EFFORT Low Med High 37
  • 38. LSS Basics: Project Execution • Customer Issues/Opportunities • Business Strategy • Goals/Objectives Assign Project • Priorities Prioritized by to Sponsor Project Leader/Mgmt and Select Candidates Team Belt Structured Project Selection DMAIC Project Management Framework High Define Measure Analyze Improve Control Sponsor Define project purpose and scope BENEFIT inspects Measure current performance Med deliverables Analyze causes & confirm with data & checkpoints Improve by removing variation and for each non-value added activities Low phase EFFORT Control gains by standardizing Low Med High 38
  • 39. LSS Basics: Project Execution • Customer Issues/Opportunities • Business Strategy • Goals/Objectives Assign Project • Priorities Prioritized by to Sponsor Project Leader/Mgmt and Select Candidates Team Belt Structured Project Selection DMAIC Project Management Framework High Define Measure Analyze Improve Control Sponsor Define project purpose and scope BENEFIT inspects Measure current performance Med deliverables Analyze causes & confirm with data & checkpoints Improve by removing variation and for each non-value added activities Low phase EFFORT Control gains by standardizing Low Med High 39
  • 40. LSS Basics: Project Execution • Customer Issues/Opportunities • Business Strategy • Goals/Objectives Assign Project • Priorities Prioritized by to Sponsor Project Leader/Mgmt and Select Candidates Team Belt Structured Project Selection DMAIC Project Management Framework High Define Measure Analyze Improve Control Sponsor Define project purpose and scope BENEFIT inspects Measure current performance Med deliverables Analyze causes & confirm with data & checkpoints Improve by removing variation and for each non-value added activities Low phase EFFORT Control gains by standardizing Low Med High 40
  • 41. LSS Basics: Project Execution • Customer Issues/Opportunities • Business Strategy • Goals/Objectives Assign Project • Priorities Prioritized by to Sponsor Project Leader/Mgmt and Select Candidates Team Belt Structured Project Selection DMAIC Project Management Framework High Define Measure Analyze Improve Control Sponsor Define project purpose and scope BENEFIT inspects Measure current performance Med deliverables Analyze causes & confirm with data & checkpoints Improve by removing variation and for each non-value added activities Low phase EFFORT Control gains by standardizing Low Med High 41
  • 42. LSS Basics: Project Execution • Customer Issues/Opportunities • Business Strategy • Goals/Objectives Assign Project • Priorities Prioritized by to Sponsor Project Leader/Mgmt and Select Candidates Team Belt Structured Project Selection DMAIC Project Management Framework High Define Measure Analyze Improve Control Sponsor Define project purpose and scope BENEFIT inspects Measure current performance Med deliverables Analyze causes & confirm with data & checkpoints Improve by removing variation and for each non-value added activities Low phase EFFORT Control gains by standardizing Low Med High 42
  • 43. LSS Basics: Project Execution • Customer Issues/Opportunities • Business Strategy • Goals/Objectives Assign Project • Priorities Prioritized by Sponsor to Sponsor Project Leader/Mgmt Inspects and Select Candidates Team Progress Belt Structured Project Selection DMAIC Project Management Framework High Define Measure Analyze Improve Control Sponsor Define project purpose and scope BENEFIT inspects Measure current performance Med deliverables Analyze causes & confirm with data & checkpoints Improve by removing variation and for each non-value added activities Low phase EFFORT Control gains by standardizing Low Med High 43
  • 44. LSS Basics: Project Execution • Customer Issues/Opportunities • Business Strategy • Goals/Objectives Assign Project • Priorities Prioritized by Sponsor Results are to Sponsor Project Leader/Mgmt Inspects Captured and and Select Candidates Team Progress Sustained Belt Structured Project Selection DMAIC Project Management Framework High Define Measure Analyze Improve Control Sponsor Define project purpose and scope BENEFIT inspects Measure current performance Med deliverables Analyze causes & confirm with data & checkpoints Improve by removing variation and for each non-value added activities Low phase EFFORT Control gains by standardizing Low Med High 44
  • 45. LSS Basics: Project Execution • Customer Issues/Opportunities • Business Strategy • Goals/Objectives Assign Project • Priorities Prioritized by Sponsor Results are to Sponsor Project Leader/Mgmt Inspects Captured and and Select Candidates Team Progress Sustained Belt Structured Project Selection DMAIC Project Management Framework High Define Measure Analyze Improve Control Sponsor Define project purpose and scope BENEFIT inspects Measure current performance Med deliverables Analyze causes & confirm with data & checkpoints Improve by removing variation and for each non-value added activities Low phase EFFORT Control gains by standardizing Low Med High 45
  • 46. How LSS Could “Fit” in Your Business Innovation Toolkit • BSC defines USAMEDCOM’s org strategy 46
  • 47. How LSS Could “Fit” in Your Business Innovation Toolkit • BSC defines USAMEDCOM’s org strategy • Yours may be defined by another strategy tool 47
  • 48. How LSS Could “Fit” in Your Business Innovation Toolkit • BSC defines USAMEDCOM’s org strategy • Yours may be defined by another strategy tool • LSS fits as Performance Improvement Engine… 48
  • 49. How LSS Could “Fit” in Your Business Innovation Toolkit • BSC defines USAMEDCOM’s org strategy • Yours may be defined by another strategy tool • LSS fits as Performance Improvement Engine… • Evaluate objective targets, performance gaps to reach them 49
  • 50. How LSS Could “Fit” in Your Business Innovation Toolkit • BSC defines USAMEDCOM’s org strategy • Yours may be defined by another strategy tool • LSS fits as Performance Improvement Engine… • Evaluate objective targets, performance gaps to reach them • ID initiatives to close performance gaps 50
  • 51. How LSS Could “Fit” in Your Business Innovation Toolkit • BSC defines USAMEDCOM’s org strategy • Yours may be defined by another strategy tool • LSS fits as Performance Improvement Engine… • Evaluate objective targets, performance gaps to reach them • ID initiatives to close performance gaps • Those initiatives become LSS projects! 51
  • 52. How LSS Could “Fit” in Your Business Innovation Toolkit • BSC defines USAMEDCOM’s org strategy • Yours may be defined by another strategy tool • LSS fits as Performance Improvement Engine… • Evaluate objective targets, performance gaps to reach them • ID initiatives to close performance gaps • Those initiatives become LSS projects • Aligns commitment, resources, and effort against strategically-focused projects 52
  • 53. How LSS Could “Fit” in Your Business Innovation Toolkit …… • Aligns commitment, resources, and effort against strategically-focused projects • The MHS is ahead of the rest of the DoD! • Strategy and objectives defined…MHS BSC, other tools • Data-driven decision-making is routine • Data-mining already part of our infrastructure 53
  • 54. Challenge: Leveraging Learning Across the Organization 54
  • 55. Knowledge Management (its Best Practice Transfer component) our next big challenge… 55
  • 57. “Cave dwellers froze to death on beds of coal… - Adapted from Carla O’Dell, If Only We Knew What We Know, p. ix. 57
  • 58. Coal was right under them! but they couldn’t see it… mine it… or use it… - Adapted from Carla O’Dell, If Only We Knew What We Know, p. ix. 58
  • 59. What you don’t know really can hurt you! - Adapted from Carla O’Dell, If Only We Knew What We Know, p. ix. 59
  • 60. But it’s happening all over again in the 21st Century! - Adapted from Carla O’Dell, If Only We Knew What We Know, p. ix. 60
  • 61. Now it’s not beds of coal… …it’s beds of knowledge - Adapted from Carla O’Dell, If Only We Knew What We Know, p. ix. 61
  • 62. they exist in all organizations! relatively untapped… relatively unmined… relatively unused… - Adapted from Carla O’Dell, If Only We Knew What We Know, p. ix. 62
  • 63. Unwarranted variation... Unpredictability for patients… Sub-optimized transactional outcomes… Poor Knowledge Management can hurt us…here’s how… Sub-optimized Best Practice Transfer clinical outcomes… measured in years vs months… Misdirected (wasted) resources… Incremental improvement vs enterprise-wide improvement… 63
  • 64. Why Best Practices Don’t Get…from If Only We Knew What We Know: The Transfer of Internal Knowledge and Best Practice, Carla O’Dell, author Transferred Why Don’t Why Don’t Best Practices Best Practices Get Get Transferred? Transferred? 64
  • 65. Why Best Practices Don’t Get…from If Only We Knew What We Know: The Transfer of Internal Knowledge and Best Practice, Carla O’Dell, author Transferred • Reason #1: Ignorance… 65
  • 66. Why Best Practices Don’t Get…from If Only We Knew What We Know: The Transfer of Internal Knowledge and Best Practice, Carla O’Dell, author Transferred • Reason #1: Ignorance… • People with knowledge don’t realize others may find it useful • People who could benefit from knowledge don’t know others have it 66
  • 67. Why Best Practices Don’t Get…from If Only We Knew What We Know: The Transfer of Internal Knowledge and Best Practice, Carla O’Dell, author Transferred • Reason #1: Ignorance… • People with knowledge don’t realize others may find it useful • People who could benefit from knowledge don’t know others have it • Reason #2: No absorptive capacity… 67
  • 68. Why Best Practices Don’t Get…from If Only We Knew What We Know: The Transfer of Internal Knowledge and Best Practice, Carla O’Dell, author Transferred • Reason #1: Ignorance… – People with knowledge don’t realize others may find it useful – People who could benefit from knowledge don’t know others have it • Reason #2: No absorptive capacity… – People lack the money, time, and to make it useful to their work 68
  • 69. Why Best Practices Don’t Get…from If Only We Knew What We Know: The Transfer of Internal Knowledge and Best Practice, Carla O’Dell, author Transferred • Reason #1: Ignorance… – People with knowledge don’t realize others may find it useful – People who could benefit from knowledge don’t know others have it • Reason #2: No absorptive capacity… – People lack the money, time, and resources to make it useful to their work • Reason #3: The lack of preexisting relationships… 69
  • 70. Why Best Practices Don’t Get…from If Only We Knew What We Know: The Transfer of Internal Knowledge and Best Practice, Carla O’Dell, author Transferred • Reason #1: Ignorance… – People with knowledge don’t realize others may find it useful – People who could benefit from knowledge don’t know others have it • Reason #2: No absorptive capacity… – People lack the money, time, and resources to make it useful to their work • Reason #3: The lack of preexisting relationships… – People absorb knowledge & practice from people they know, respect, trust 70
  • 71. Why Best Practices Don’t Get…from If Only We Knew What We Know: The Transfer of Internal Knowledge and Best Practice, Carla O’Dell, author Transferred • Reason #1: Ignorance… – People with knowledge don’t realize others may find it useful – People who could benefit from knowledge don’t know others have it • Reason #2: No absorptive capacity… – People lack the money, time, and resources to make it useful to their work • Reason #3: The lack of preexisting relationships… – People absorb knowledge & practice from people they know, respect, trust • Reason #4: Lack of motivation… 71
  • 72. Why Best Practices Don’t Get…from If Only We Knew What We Know: The Transfer of Internal Knowledge and Best Practice, Carla O’Dell, author Transferred • Reason #1: Ignorance… – People with knowledge don’t realize others may find it useful – People who could benefit from knowledge don’t know others have it • Reason #2: No absorptive capacity… – People lack the money, time, and resources to make it useful to their work • Reason #3: The lack of preexisting relationships… – People absorb knowledge & practice from people they know, respect, trust • Reason #4: Lack of motivation… – People may not perceive a clear reason for pursuing the transfer 72
  • 73. Why Best Practices Don’t Get…from If Only We Knew What We Know: The Transfer of Internal Knowledge and Best Practice, Carla O’Dell, author Transferred • Reason #1: Ignorance… – People with knowledge don’t realize others may find it useful – People who could benefit from knowledge don’t know others have it • Reason #2: No absorptive capacity… – People lack the money, time, and resources to make it useful to their work • Reason #3: The lack of preexisting relationships… – People absorb knowledge & practice from people they know, respect, trust • Reason #4: Lack of motivation… – People may not perceive a clear reason for pursuing the transfer – People must have a sense of urgency! 73
  • 74. An Army Medicine example: at a high level… linking Organizational Strategy to Performance Improvement using Lean Six Sigma and Best Practice Transfer! 74
  • 75. 75
  • 76. We align all MEDCOM LSS projects to our organization’s strategy…our Balanced Scorecard… 76
  • 77. We recognize we have a performance gap in Access to Care… 77
  • 78. Value Stream #9: Improve Access & Continuity of Care PVC #1: Maximize Value in Health Services Suppliers Inputs Process Outputs Customer • Patients • Need for Care • Customer Service • Satisfied beneficiary • DOD Title 10 patients (preventive, acute) • Accessible (e.g., Soldiers, • Telephone Services • DOD appointments retirees, families) • Healthcare staff Healthcare • Provider Support Staff Utilization • Standardized, utilized • Non-Title 10 patients Professionals • Facilities and support staff • Primary Care Exam Room (e.g., civilian infrastructure • Optimized provider Utilization emergencies, • IMCOM productivity contractors, foreign • Patient Appointing, Referral Mgt. • Optimized referral officers and families, execution, delivery • TRICARE Online Appointment etc.) • Increased utilization of on-line appointment system High level process maps Customer (SIPOCs) help us better focus Input Metrics Process Metrics Output Metrics • DOD Title 10 onCall Volume • the problem/s in our work… • Call Hold and Handle Times, • Patient Satisfaction patients • # of Appts. Requested Call Abandon Rate • Access to Care Standards (e.g., achieve acute care appt. within • Non-Title 10 • Type of Care Requested • Care Appointment Availability 24 hours) patients • Schedule Availability • Support Staff to Primary Care • Staff Availability Provider Utilization ratio • Facility Scheduling • Facility Availability 78
  • 79. Value Stream #9: Improve Access & Continuity of Care PVC #1: Maximize Value in Health Services Suppliers Inputs Process Outputs Customer • Patients • Need for Care • Customer Service • Satisfied beneficiary • DOD Title 10 patients (preventive, acute) • Accessible (e.g., Soldiers, • Telephone Services • DOD appointments retirees, families) • Healthcare staff Healthcare • Provider Support Staff Utilization • Standardized, utilized • Non-Title 10 patients Professionals • Facilities and support staff • Primary Care Exam Room (e.g., civilian infrastructure • Optimized provider Utilization emergencies, • IMCOM productivity contractors, foreign • Patient Appointing, Referral Mgt. • Optimized referral …and we decided to start by • TRICARE Online Appointment execution, delivery officers and families, etc.) • Increased utilization of improving the Telephone on-line appointment system Appointing Process Customer Input Metrics Process Metrics Output Metrics • Call Volume • Patient Satisfaction • DOD Title 10 • Call Hold and Handle Times, patients • # of Appts. Requested Call Abandon Rate • Access to Care Standards (e.g., achieve acute care appt. within • Non-Title 10 • Type of Care Requested • Care Appointment Availability 24 hours) patients • Schedule Availability • Support Staff to Primary Care • Staff Availability Provider Utilization ratio • Facility Scheduling • Facility Availability 79
  • 80. LSS Project LD00373: Access to Care— Improve Telephone Appointing Process at Darnall Army Medical Center Documented in PowerSteering! 80
  • 81. Project Summary: Carl R. Darnall AMC Telephone Appointing Mark Hernandez – Black Belt Candidate • PROBLEM / BASELINE / GOAL • IMPROVEMENTS PROBLEM STATEMENT The telephone appointing process at CRDAMC has observed low patient  Agent scheduling changes to handle peak times satisfaction scores and long process hold times. Over the last six months,  Agent training, area setup, shift change by SOP it takes an average of 3:14 minutes to answer customer calls to make an appointment. This has led to numerous customer complaints which have  Phone menu tree and call handling improved led to lower patient satisfaction scores for telephone appointing services. BASELINE  Future ACD design requirements specified  Army’s largest call center: 10,000+ calls a week  Low customer satisfaction: 68% BEFORE AFTER Hold Time  Average wait time: 3:14 minutes  Calls answered under 90 seconds: 65% GOAL  Overall call abandon rate: 26%; Peak time: 49%  Decrease process hold time to less than 90 seconds per call  Decrease overall abandoned call rate to less than 10%  Decrease peak time call abandon rate to less than 25% • RESULTS / BENEFITS • REPLICATION / WAY-AHEAD  Overall average hold time reduced to 33 seconds  Performance Action Plan Completed; Access to Care  Overall call abandon rate reduced: 3% Initiative 17.2  Adjust MEDCOM BSC telephone appting standards NLT 20  Peak time call abandon rate reduced: 22% Apr 07  Call volume reduced 20% due to less call backs  Establish CMS metric for telephone appting NLT 1 May 07  Calls handled increased from 4700 to 7300 / week  Publish MEDCOM Telephone Appting Policy NLT 1 May 07  Agent training time reduced from 6 weeks to 4 weeks  Replicate LSS projects across MEDCOM MTFs NLT Dec 08  Agent turnover reduced 81
  • 82. Project Summary: Carl R. Darnall AMC Telephone Appointing Mark Hernandez – Black Belt Candidate • PROBLEM / BASELINE / GOAL • IMPROVEMENTS PROBLEM STATEMENT The telephone appointing process at CRDAMC has observed low patient  Agent scheduling changes to handle peak times satisfaction scores and long process hold times. Over the last six months,  Agent training, area setup, shift change by SOP it takes an average of 3:14 minutes to answer customer calls to make an appointment. This has led to numerous customer complaints which have  Phone menu tree and call handling improved led to lower patient satisfaction scores for telephone appointing services. BASELINE  Future ACD design requirements specified  Army’s largest call center: 10,000+ calls a week  Low customer satisfaction: 68% …the initialBEFORE project was AFTER Hold Time  Average wait time: 3:14 minutes  Calls answered under 90 seconds: 65% conducted at Fort Hood’s Carl GOAL  Overall call abandon rate: 26%; Peak time: 49%  Decrease process hold time to less than 90 seconds per call R. Darnall Army Medical Center  Decrease overall abandoned call rate to less than 10% (CRDAMC)…  Decrease peak time call abandon rate to less than 25% • RESULTS / BENEFITS • REPLICATION / WAY-AHEAD  Overall average hold time reduced to 33 seconds  Performance Action Plan Completed; Access to Care  Overall call abandon rate reduced: 3% Initiative 17.2  Adjust MEDCOM BSC telephone appting standards NLT 20  Peak time call abandon rate reduced: 22% Apr 07  Call volume reduced 20% due to less call backs  Establish CMS metric for telephone appting NLT 1 May 07  Calls handled increased from 4700 to 7300 / week  Publish MEDCOM Telephone Appting Policy NLT 1 May 07  Agent training time reduced from 6 weeks to 4 weeks  Replicate LSS projects across MEDCOM MTFs NLT Dec 08  Agent turnover reduced 82
  • 83. Project Summary: Carl R. Darnall AMC Telephone Appointing Mark Hernandez – Black Belt Candidate • PROBLEM / BASELINE / GOAL • IMPROVEMENTS PROBLEM STATEMENT The telephone appointing process at CRDAMC has observed low patient  Agent scheduling changes to handle peak times satisfaction scores and long process hold times. Over the last six months,  Agent training, area setup, shift change by SOP it takes an average of 3:14 minutes to answer customer calls to make an appointment. This has led to numerous customer complaints which have  Phone menu tree and call handling improved led to lower patient satisfaction scores for telephone appointing services. BASELINE  Future ACD design requirements specified  Army’s largest call center: 10,000+ calls a week  Low customer satisfaction: 68% BEFORE AFTER Hold Time  Average wait time: 3:14 minutes …high call volume, low patient  Calls answered under 90 seconds: 65% GOAL  Overall call abandon rate: 26%; Peak time: 49% satisfaction, long process cycle  Decrease process hold time to less than 90 seconds per call time, high variation…  Decrease overall abandoned call rate to less than 10%  Decrease peak time call abandon rate to less than 25% • RESULTS / BENEFITS • REPLICATION / WAY-AHEAD  Overall average hold time reduced to 33 seconds  Performance Action Plan Completed; Access to Care  Overall call abandon rate reduced: 3% Initiative 17.2  Adjust MEDCOM BSC telephone appting standards NLT 20  Peak time call abandon rate reduced: 22% Apr 07  Call volume reduced 20% due to less call backs  Establish CMS metric for telephone appting NLT 1 May 07  Calls handled increased from 4700 to 7300 / week  Publish MEDCOM Telephone Appting Policy NLT 1 May 07  Agent training time reduced from 6 weeks to 4 weeks  Replicate LSS projects across MEDCOM MTFs NLT Dec 08  Agent turnover reduced 83
  • 84. Project Summary: Carl R. Darnall AMC Telephone Appointing Mark Hernandez – Black Belt Candidate • PROBLEM / BASELINE / GOAL • IMPROVEMENTS PROBLEM STATEMENT The telephone appointing process at CRDAMC has observed low patient  Agent scheduling changes to handle peak times satisfaction scores and long process hold times. Over the last six months,  Agent training, area setup, shift change by SOP it takes an average of 3:14 minutes to answer customer calls to make an appointment. This has led to numerous customer complaints which have  Phone menu tree and call handling improved led to lower patient satisfaction scores for telephone appointing services. BASELINE  Future ACD design requirements specified  Army’s largest call center: 10,000+ calls a week  Low customer satisfaction: 68% BEFORE AFTER Hold Time  Average wait time: 3:14 minutes …the project sought to  Calls answered under 90 seconds: 65% GOAL  Overall call abandon rate: 26%; Peak time: 49% decrease process cycle time  Decrease process hold time to less than 90 seconds per call and call abandon rate to  Decrease overall abandoned call rate to less than 10%  Decrease peak time call abandon rate to less than 25% improve patient satisfaction… • RESULTS / BENEFITS • REPLICATION / WAY-AHEAD  Overall average hold time reduced to 33 seconds  Performance Action Plan Completed; Access to Care  Overall call abandon rate reduced: 3% Initiative 17.2  Adjust MEDCOM BSC telephone appting standards NLT 20  Peak time call abandon rate reduced: 22% Apr 07  Call volume reduced 20% due to less call backs  Establish CMS metric for telephone appting NLT 1 May 07  Calls handled increased from 4700 to 7300 / week  Publish MEDCOM Telephone Appting Policy NLT 1 May 07  Agent training time reduced from 6 weeks to 4 weeks  Replicate LSS projects across MEDCOM MTFs NLT Dec 08  Agent turnover reduced 84
  • 85. Project Summary: Carl R. Darnall AMC Telephone Appointing Mark Hernandez – Black Belt Candidate • PROBLEM / BASELINE / GOAL • IMPROVEMENTS PROBLEM STATEMENT The telephone appointing process at CRDAMC has observed low patient  Agent scheduling changes to handle peak times satisfaction scores and long process hold times. Over the last six months,  Agent training, area setup, shift change by SOP it takes an average of 3:14 minutes to answer customer calls to make an appointment. This has led to numerous customer complaints which have  Phone menu tree and call handling improved led to lower patient satisfaction scores for telephone appointing services. BASELINE  Future ACD design requirements specified  Army’s largest call center: 10,000+ calls a week WOW  Low customer satisfaction: 68% BEFORE AFTER Hold Time  Average wait time: 3:14 minutes  Calls answered under 90 seconds: 65% GOAL  Overall call abandon rate: 26%; Peak time: 49%  Decrease process hold time to less than 90 seconds per call  Decrease overall abandoned call rate to less than 10%  Decrease peak time call abandon rate to less than 25% • RESULTS / BENEFITS • REPLICATION / WAY-AHEAD  Overall average hold time reduced to 33 seconds  Performance Action Plan Completed; Access to Care  Overall call abandon rate reduced: 3% Initiative 17.2  Adjust MEDCOM BSC telephone appting standards NLT 20  Peak time call abandon rate reduced: 22% Apr 07  Call volume reduced 20% due to less call backs  Establish CMS metric for telephone appting NLT 1 May 07  Calls handled increased from 4700 to 7300 / week  Publish MEDCOM Telephone Appting Policy NLT 1 May 07  Agent training time reduced from 6 weeks to 4 weeks  Replicate LSS projects across MEDCOM MTFs NLT Dec 08  Agent turnover reduced 85
  • 86. Project Summary: Carl R. Darnall AMC Telephone Appointing Mark Hernandez – Black Belt Candidate • PROBLEM / BASELINE / GOAL • IMPROVEMENTS PROBLEM STATEMENT The telephone appointing process at CRDAMC has observed low patient  Agent scheduling changes to handle peak times satisfaction scores and long process hold times. Over the last six months,  Agent training, area setup, shift change by SOP it takes an average of 3:14 minutes to answer customer calls to make an appointment. This has led to numerous customer complaints which have  Phone menu tree and call handling improved led to lower patient satisfaction scores for telephone appointing services. BASELINE  Future ACD design requirements specified  Army’s largest call center: 10,000+ calls a week  Low customer satisfaction: 68% BEFORE AFTER Hold Time  Average wait time: 3:14 minutes 7-Fold  Calls answered under 90 seconds: 65% GOAL Improvement  Overall call abandon rate: 26%; Peak time: 49%  Decrease process hold time to less than 90 seconds per call  Decrease overall abandoned call rate to less than 10%  Decrease peak time call abandon rate to less than 25% • RESULTS / BENEFITS • REPLICATION / WAY-AHEAD  Overall average hold time reduced to 33 seconds  Performance Action Plan Completed; Access to Care  Overall call abandon rate reduced: 3% Initiative 17.2  Adjust MEDCOM BSC telephone appting standards NLT 20  Peak time call abandon rate reduced: 22% Apr 07  Call volume reduced 20% due to less call backs  Establish CMS metric for telephone appting NLT 1 May 07  Calls handled increased from 4700 to 7300 / week  Publish MEDCOM Telephone Appting Policy NLT 1 May 07  Agent training time reduced from 6 weeks to 4 weeks  Replicate LSS projects across MEDCOM MTFs NLT Dec 08  Agent turnover reduced 86
  • 87. Project Summary: Carl R. Darnall AMC Telephone Appointing Mark Hernandez – Black Belt Candidate • PROBLEM / BASELINE / GOAL • IMPROVEMENTS PROBLEM STATEMENT The telephone appointing process at CRDAMC has observed low patient  Agent scheduling changes to handle peak times satisfaction scores and long process hold times. Over the last six months,  Agent training, area setup, shift change by SOP it takes an average of 3:14 minutes to answer customer calls to make an appointment. This has led to numerous customer complaints which have  Phone menu tree and call handling improved led to lower patient satisfaction scores for telephone appointing services. BASELINE  Future ACD design requirements specified  Army’s largest call center: 10,000+ calls a week  Low customer satisfaction: 68% BEFORE AFTER Hold Time  Average wait time: 3:14 minutes  Calls answered under 90 seconds: 65% GOAL  Overall call abandon rate: 26%; Peak time: 49% 10-Fold  Decrease process hold time to less than 90 seconds per call Improvement  Decrease overall abandoned call rate to less than 10%  Decrease peak time call abandon rate to less than 25% • RESULTS / BENEFITS • REPLICATION / WAY-AHEAD  Overall average hold time reduced to 33 seconds  Performance Action Plan Completed; Access to Care  Overall call abandon rate reduced: 3% Initiative 17.2  Adjust MEDCOM BSC telephone appting standards NLT 20  Peak time call abandon rate reduced: 22% Apr 07  Call volume reduced 20% due to less call backs  Establish CMS metric for telephone appting NLT 1 May 07  Calls handled increased from 4700 to 7300 / week  Publish MEDCOM Telephone Appting Policy NLT 1 May 07  Agent training time reduced from 6 weeks to 4 weeks  Replicate LSS projects across MEDCOM MTFs NLT Dec 08  Agent turnover reduced 87
  • 88. Project Summary: Carl R. Darnall AMC Telephone Appointing Mark Hernandez – Black Belt Candidate • PROBLEM / BASELINE / GOAL • IMPROVEMENTS PROBLEM STATEMENT The telephone appointing process at CRDAMC has observed low patient  Agent scheduling changes to handle peak times satisfaction scores and long process hold times. Over the last six months,  Agent training, area setup, shift change by SOP it takes an average of 3:14 minutes to answer customer calls to make an appointment. This has led to numerous customer complaints which have  Phone menu tree and call handling improved led to lower patient satisfaction scores for telephone appointing services. BASELINE  Future ACD design requirements specified  Army’s largest call center: 10,000+ calls a week  Low customer satisfaction: 68% BEFORE AFTER Hold Time  Average wait time: 3:14 minutes  Calls answered under 90 seconds: 65% GOAL  Overall call abandon rate: 26%; Peak time: 49%  Decrease process hold time to less than 90 seconds per call >2-Fold  Decrease overall abandoned call rate to less than 10% Improvement  Decrease peak time call abandon rate to less than 25% • RESULTS / BENEFITS • REPLICATION / WAY-AHEAD  Overall average hold time reduced to 33 seconds  Performance Action Plan Completed; Access to Care  Overall call abandon rate reduced: 3% Initiative 17.2  Adjust MEDCOM BSC telephone appting standards NLT 20  Peak time call abandon rate reduced: 22% Apr 07  Call volume reduced 20% due to less call backs  Establish CMS metric for telephone appting NLT 1 May 07  Calls handled increased from 4700 to 7300 / week  Publish MEDCOM Telephone Appting Policy NLT 1 May 07  Agent training time reduced from 6 weeks to 4 weeks  Replicate LSS projects across MEDCOM MTFs NLT Dec 08  Agent turnover reduced 88
  • 89. Project Summary: Carl R. Darnall AMC Telephone Appointing Mark Hernandez – Black Belt Candidate • PROBLEM / BASELINE / GOAL • IMPROVEMENTS PROBLEM STATEMENT The telephone appointing process at CRDAMC has observed low patient  Agent scheduling changes to handle peak times satisfaction scores and long process hold times. Over the last six months,  Agent training, area setup, shift change by SOP it takes an average of 3:14 minutes to answer customer calls to make an appointment. This has led to numerous customer complaints which have  Phone menu tree and call handling improved led to lower patient satisfaction scores for telephone appointing services. BASELINE Disciplined, Corporate  Future ACD design requirements specified Action to Harvest and  Army’s largest call center: 10,000+ calls a week  Low customer satisfaction: 68% BEFORE AFTER Replicate Across Hold Time  Average wait time: 3:14 minutes MEDCOM  Calls answered under 90 seconds: 65% GOAL  Overall call abandon rate: 26%; Peak time: 49%  Decrease process hold time to less than 90 seconds per call  Decrease overall abandoned call rate to less than 10%  Decrease peak time call abandon rate to less than 25% • RESULTS / BENEFITS • REPLICATION / WAY-AHEAD  Overall average hold time reduced to 33 seconds  Performance Action Plan Completed; Access to Care  Overall call abandon rate reduced: 3% Initiative 17.2  Adjust MEDCOM BSC telephone appting standards  Peak time call abandon rate reduced: 22%  Establish CMS metric for telephone  Call volume reduced 20% due to less call backs  Publish MEDCOM Telephone Appting Policy NLT 1 May 08  Calls handled increased from 4700 to 7300 / week  Replicate LSS projects across MEDCOM MTFs NLT Jun 09  Agent training time reduced from 6 weeks to 4 weeks  Agent turnover reduced 89
  • 90. Project Summary: Carl R. Darnall AMC Telephone Appointing Mark Hernandez – Black Belt Candidate • PROBLEM / BASELINE / GOAL • IMPROVEMENTS PROBLEM STATEMENT The telephone appointing process at CRDAMC has observed low patient  Agent scheduling changes to handle peak times satisfaction scores and long process hold times. Over the last six months,  Agent training, area setup, shift change by SOP it takes an average of 3:14 minutes to answer customer calls to make an A project result not anticipated… and call handling improved  Phone menu tree appointment. This has led to numerous customer complaints which have led to lower patient satisfaction scores for telephone appointing services. BASELINE  Future ACD design requirements specified  Army’s largest call center: 10,000+ calls a week  Low customer satisfaction: 68% BEFORE AFTER Hold Time  Average wait time: 3:14 minutes  Calls answered under 90 seconds: 65% GOAL  Overall call abandon rate: 26%; Peak time: 49%  Decrease process hold time to less than 90 seconds per call  Decrease overall abandoned call rate to less than 10%  Decrease peak time call abandon rate to less than 25% • RESULTS / BENEFITS • REPLICATION / WAY-AHEAD  Overall average hold time reduced to 33 seconds  Performance Action Plan Completed; Access to Care  Overall call abandon rate reduced: 3% Initiative 17.2  Adjust MEDCOM BSC telephone appting standards NLT 20  Peak time call abandon rate reduced: 22% Apr 07  Call volume reduced 20% due to less call backs  Establish CMS metric for telephone appting NLT 1 May 07  Calls handled increased from 4700 to 7300 / week  Publish MEDCOM Telephone Appting Policy NLT 1 May 07  Agent training time reduced from 6 weeks to 4 weeks  Replicate LSS projects across MEDCOM MTFs NLT Dec 08  Agent turnover reduced 90
  • 91. Project Summary: Carl R. Darnall AMC Telephone Appointing Mark Hernandez – Black Belt Candidate • PROBLEM / BASELINE / GOAL • IMPROVEMENTS PROBLEM STATEMENT The telephone appointing process at CRDAMC has observed low patient  Agent scheduling changes to handle peak times satisfaction scores and long process hold times. Over the last six months,  Agent training, area setup, shift change by SOP it takes an average of 3:14 minutes to answer customer calls to make an A project result not anticipated… and call handling improved  Phone menu tree appointment. This has led to numerous customer complaints which have led to lower patient satisfaction scores for telephone appointing services. BASELINE  Future ACD design requirements specified Although patient satisfaction with  Army’s largest call center: 10,000+ calls a week  Low customer satisfaction: 68% telephone appointing improved, BEFORE AFTER Hold Time  Average wait time: 3:14 minutes overall patient satisfaction at  Calls answered under 90 seconds: 65% GOAL Darnall decreased!  Overall call abandon rate: 26%; Peak time: 49%  Decrease process hold time to less than 90 seconds per call  Decrease overall abandoned call rate to less than 10%  Decrease peak time call abandon rate to less than 25% • RESULTS / BENEFITS • REPLICATION / WAY-AHEAD  Overall average hold time reduced to 33 seconds  Performance Action Plan Completed; Access to Care  Overall call abandon rate reduced: 3% Initiative 17.2  Adjust MEDCOM BSC telephone appting standards NLT 20  Peak time call abandon rate reduced: 22% Apr 07  Call volume reduced 20% due to less call backs  Establish CMS metric for telephone appting NLT 1 May 07  Calls handled increased from 4700 to 7300 / week  Publish MEDCOM Telephone Appting Policy NLT 1 May 07  Agent training time reduced from 6 weeks to 4 weeks  Replicate LSS projects across MEDCOM MTFs NLT Dec 08  Agent turnover reduced 91
  • 92. Project Summary: Carl R. Darnall AMC Telephone Appointing Mark Hernandez – Black Belt Candidate • PROBLEM / BASELINE / GOAL • IMPROVEMENTS PROBLEM STATEMENT The telephone appointing process at CRDAMC has observed low patient  Agent scheduling changes to handle peak times satisfaction scores and long process hold times. Over the last six months,  Agent training, area setup, shift change by SOP it takes an average of 3:14 minutes to answer customer calls to make an A project result not anticipated… and call handling improved  Phone menu tree appointment. This has led to numerous customer complaints which have led to lower patient satisfaction scores for telephone appointing services. BASELINE  Future ACD design requirements specified Although patient satisfaction with  Army’s largest call center: 10,000+ calls a week  Low customer satisfaction: 68% telephone appointing improved, BEFORE AFTER Hold Time  Average wait time: 3:14 minutes overall patient satisfaction at  Calls answered under 90 seconds: 65% GOAL Darnall decreased!  Overall call abandon rate: 26%; Peak time: 49%  Decrease process hold time to less than 90 seconds per call Patients’ phone calls were now  Decrease overall abandoned call rate to less than 10% being answered quicker, only to be  Decrease peak time call abandon rate to less than 25% • RESULTS / BENEFITS • REPLICATION / WAY-AHEAD told Darnall had no appointment  Overall average hold time reduced to 33 seconds  Performance Action Plan Completed; Access to Care available!  Overall call abandon rate reduced: 3% Initiative 17.2  Adjust MEDCOM BSC telephone appting standards NLT 20  Peak time call abandon rate reduced: 22% Apr 07  Call volume reduced 20% due to less call backs  Establish CMS metric for telephone appting NLT 1 May 07  Calls handled increased from 4700 to 7300 / week  Publish MEDCOM Telephone Appting Policy NLT 1 May 07  Agent training time reduced from 6 weeks to 4 weeks  Replicate LSS projects across MEDCOM MTFs NLT Dec 08  Agent turnover reduced 92
  • 93. Project Summary: Carl R. Darnall AMC Telephone Appointing Mark Hernandez – Black Belt Candidate • PROBLEM / BASELINE / GOAL • IMPROVEMENTS PROBLEM STATEMENT The telephone appointing process at CRDAMC has observed low patient  Agent scheduling changes to handle peak times satisfaction scores and long process hold times. Over the last six months,  Agent training, area setup, shift change by SOP it takes an average of 3:14 minutes to answer customer calls to make an Teaching Point: appointment. This has led to numerous customer complaints which have led to lower patient satisfaction scores for telephone appointing services.  Phone menu tree and call handling improved BASELINE  Future ACD design requirements specified Ofttimes you must consider the  Army’s largest call center: 10,000+ calls a week  Low customer satisfaction: 68% project dependencies along the BEFORE AFTER Hold Time  Average wait time: 3:14 minutes value stream…  Calls answered under 90 seconds: 65% GOAL  Overall call abandon rate: 26%; Peak time: solution The 49% set from Project B  Decrease process hold time to less than 90 seconds per call  Decrease overall abandoned call rate to less than 10% be realized before the may best solution set from Project A!  Decrease peak time call abandon rate to less than 25% • RESULTS / BENEFITS • REPLICATION / WAY-AHEAD  Overall average hold time reduced to 33 seconds  Performance Action Plan Completed; Access to Care  Overall call abandon rate reduced: 3% Initiative 17.2  Adjust MEDCOM BSC telephone appting standards NLT 20  Peak time call abandon rate reduced: 22% Apr 07  Call volume reduced 20% due to less call backs  Establish CMS metric for telephone appting NLT 1 May 07  Calls handled increased from 4700 to 7300 / week  Publish MEDCOM Telephone Appting Policy NLT 1 May 07  Agent training time reduced from 6 weeks to 4 weeks  Replicate LSS projects across MEDCOM MTFs NLT Dec 08  Agent turnover reduced 93
  • 94. Project Summary: Carl R. Darnall AMC Telephone Appointing Mark Hernandez – Black Belt Candidate • PROBLEM / BASELINE / GOAL • IMPROVEMENTS PROBLEM STATEMENT The telephone appointing process at CRDAMC has observed low patient  Agent scheduling changes to handle peak times satisfaction scores and long process hold times. Over the last six months,  Agent training, area setup, shift change by SOP it takes an average of 3:14 minutes to answer customer calls to make an appointment. This has led to numerous customer complaints which have  Phone menu tree and call handling improved led to lower patient satisfaction scores for telephone appointing services. BASELINE  Future ACD design requirements specified  Army’s largest call center: 10,000+ calls a week  Low customer satisfaction: 68% BEFORE AFTER Hold Time  Average wait time: 3:14 minutes And Today?  Calls answered under 90 seconds: 65% GOAL  Overall call abandon rate: 26%; Peak time: 49%  Decrease process hold time to less than 90 seconds per call  Decrease overall abandoned call rate to less than 10%  Decrease peak time call abandon rate to less than 25% • RESULTS / BENEFITS • REPLICATION / WAY-AHEAD  Overall average hold time reduced to 33 seconds  Performance Action Plan Completed; Access to Care  Overall call abandon rate reduced: 3% Initiative 17.2  Adjust MEDCOM BSC telephone appting standards NLT 20  Peak time call abandon rate reduced: 22% Apr 07  Call volume reduced 20% due to less call backs  Establish CMS metric for telephone appting NLT 1 May 07  Calls handled increased from 4700 to 7300 / week  Publish MEDCOM Telephone Appting Policy NLT 1 May 07  Agent training time reduced from 6 weeks to 4 weeks  Replicate LSS projects across MEDCOM MTFs NLT Dec 08  Agent turnover reduced 94
  • 95. Project Summary: Carl R. Darnall AMC Telephone Appointing Mark Hernandez – Black Belt Candidate • PROBLEM / BASELINE / GOAL • IMPROVEMENTS PROBLEM STATEMENT The telephone appointing process at CRDAMC has observed low patient  Agent scheduling changes to handle peak times satisfaction scores and long process hold times. Over the last six months,  Agent training, area setup, shift change by SOP it takes an average of 3:14 minutes to answer customer calls to make an appointment. This has led to numerous customer complaints which have  Phone menu tree and call handling improved led to lower patient satisfaction scores for telephone appointing services. BASELINE  Future ACD design requirements specified Mean Hold Time at BEFORE  Army’s largest call center: 10,000+ calls a week  Low customer satisfaction: 68% AFTER CRDAMC = Hold Time  Average wait time: 3:14 minutes  Calls answered under 90 seconds: 65% GOAL 3 seconds!  Overall call abandon rate: 26%; Peak time: 49%  Decrease process hold time to less than 90 seconds per call  Decrease overall abandoned call rate to less than 10%  Decrease peak time call abandon rate to less than 25% • RESULTS / BENEFITS • REPLICATION / WAY-AHEAD  Overall average hold time reduced to 33 seconds  Performance Action Plan Completed; Access to Care  Overall call abandon rate reduced: 3% Initiative 17.2  Adjust MEDCOM BSC telephone appting standards NLT 20  Peak time call abandon rate reduced: 22% Apr 07  Call volume reduced 20% due to less call backs  Establish CMS metric for telephone appting NLT 1 May 07  Calls handled increased from 4700 to 7300 / week  Publish MEDCOM Telephone Appting Policy NLT 1 May 07  Agent training time reduced from 6 weeks to 4 weeks  Replicate LSS projects across MEDCOM MTFs NLT Dec 08  Agent turnover reduced 95

Hinweis der Redaktion

  1. September 2009
  2. September 2009
  3. September 2009 Process starts with candidates for projects Projects are prioritized based on business or customer impact and anticipated effort Leadership team is responsible for actually selecting prioritized projects Projects are assigned to available Black Belt resource for execution Project Sponsor monitors progress, removes barriers, inspects phase gates and captures the benefits DMAIC is standard project management process Disciplined Process Structured Phase Gates Various Tools and Methods available
  4. September 2009 Process starts with candidates for projects Projects are prioritized based on business or customer impact and anticipated effort Leadership team is responsible for actually selecting prioritized projects Projects are assigned to available Black Belt resource for execution Project Sponsor monitors progress, removes barriers, inspects phase gates and captures the benefits DMAIC is standard project management process Disciplined Process Structured Phase Gates Various Tools and Methods available
  5. September 2009 Process starts with candidates for projects Projects are prioritized based on business or customer impact and anticipated effort Leadership team is responsible for actually selecting prioritized projects Projects are assigned to available Black Belt resource for execution Project Sponsor monitors progress, removes barriers, inspects phase gates and captures the benefits DMAIC is standard project management process Disciplined Process Structured Phase Gates Various Tools and Methods available
  6. September 2009 Process starts with candidates for projects Projects are prioritized based on business or customer impact and anticipated effort Leadership team is responsible for actually selecting prioritized projects Projects are assigned to available Black Belt resource for execution Project Sponsor monitors progress, removes barriers, inspects phase gates and captures the benefits DMAIC is standard project management process Disciplined Process Structured Phase Gates Various Tools and Methods available
  7. September 2009 Process starts with candidates for projects Projects are prioritized based on business or customer impact and anticipated effort Leadership team is responsible for actually selecting prioritized projects Projects are assigned to available Black Belt resource for execution Project Sponsor monitors progress, removes barriers, inspects phase gates and captures the benefits DMAIC is standard project management process Disciplined Process Structured Phase Gates Various Tools and Methods available
  8. September 2009 Process starts with candidates for projects Projects are prioritized based on business or customer impact and anticipated effort Leadership team is responsible for actually selecting prioritized projects Projects are assigned to available Black Belt resource for execution Project Sponsor monitors progress, removes barriers, inspects phase gates and captures the benefits DMAIC is standard project management process Disciplined Process Structured Phase Gates Various Tools and Methods available
  9. September 2009 Process starts with candidates for projects Projects are prioritized based on business or customer impact and anticipated effort Leadership team is responsible for actually selecting prioritized projects Projects are assigned to available Black Belt resource for execution Project Sponsor monitors progress, removes barriers, inspects phase gates and captures the benefits DMAIC is standard project management process Disciplined Process Structured Phase Gates Various Tools and Methods available
  10. September 2009 Process starts with candidates for projects Projects are prioritized based on business or customer impact and anticipated effort Leadership team is responsible for actually selecting prioritized projects Projects are assigned to available Black Belt resource for execution Project Sponsor monitors progress, removes barriers, inspects phase gates and captures the benefits DMAIC is standard project management process Disciplined Process Structured Phase Gates Various Tools and Methods available
  11. September 2009 Process starts with candidates for projects Projects are prioritized based on business or customer impact and anticipated effort Leadership team is responsible for actually selecting prioritized projects Projects are assigned to available Black Belt resource for execution Project Sponsor monitors progress, removes barriers, inspects phase gates and captures the benefits DMAIC is standard project management process Disciplined Process Structured Phase Gates Various Tools and Methods available
  12. September 2009 Process starts with candidates for projects Projects are prioritized based on business or customer impact and anticipated effort Leadership team is responsible for actually selecting prioritized projects Projects are assigned to available Black Belt resource for execution Project Sponsor monitors progress, removes barriers, inspects phase gates and captures the benefits DMAIC is standard project management process Disciplined Process Structured Phase Gates Various Tools and Methods available
  13. September 2009 Process starts with candidates for projects Projects are prioritized based on business or customer impact and anticipated effort Leadership team is responsible for actually selecting prioritized projects Projects are assigned to available Black Belt resource for execution Project Sponsor monitors progress, removes barriers, inspects phase gates and captures the benefits DMAIC is standard project management process Disciplined Process Structured Phase Gates Various Tools and Methods available
  14. September 2009 Process starts with candidates for projects Projects are prioritized based on business or customer impact and anticipated effort Leadership team is responsible for actually selecting prioritized projects Projects are assigned to available Black Belt resource for execution Project Sponsor monitors progress, removes barriers, inspects phase gates and captures the benefits DMAIC is standard project management process Disciplined Process Structured Phase Gates Various Tools and Methods available
  15. September 2009 This is why we do Strategic Planning….
  16. September 2009 This is why we do Strategic Planning….
  17. September 2009 This is why we do Strategic Planning….
  18. September 2009 This is why we do Strategic Planning….
  19. September 2009 This is why we do Strategic Planning….
  20. September 2009 This is why we do Strategic Planning….
  21. September 2009 This is why we do Strategic Planning….
  22. This is why we do Strategic Planning….
  23. September 2009 16 Strategic Objectives. More streamlined, user-friendly, AMEDD-wide perspective.
  24. September 2009 16 Strategic Objectives. More streamlined, user-friendly, AMEDD-wide perspective.
  25. September 2009 16 Strategic Objectives. More streamlined, user-friendly, AMEDD-wide perspective.
  26. September 2009 S upplier- I nput- P rocess- O utput- C ustomer (SIPOC) Chart Suppliers – Significant internal/external suppliers to the process Inputs – Significant inputs to the process i.e. material, forms, information, etc. Process – One block representing the entire process Outputs – Significant outputs to internal/external customers Customers – Significant internal/external customers to the process This chart is essential as it contains the necessary context for the process Value Stream being discussed. This context will provide clear boundaries for the scope of the improvement efforts. It also clearly lists the top level needed inputs and the target outputs as required buy a down-stream user or customer. The following steps briefly describe how to construct a SIPOC chart – establish the start and finish of the value stream; summarize the processes (3-6) that yield the product or service; identify stakeholders and prioritize the critical (1-3) customers and their significant outputs, identify significant inputs and the respective supplier define/refine metrics for inputs, process and outputs.
  27. September 2009 S upplier- I nput- P rocess- O utput- C ustomer (SIPOC) Chart Suppliers – Significant internal/external suppliers to the process Inputs – Significant inputs to the process i.e. material, forms, information, etc. Process – One block representing the entire process Outputs – Significant outputs to internal/external customers Customers – Significant internal/external customers to the process This chart is essential as it contains the necessary context for the process Value Stream being discussed. This context will provide clear boundaries for the scope of the improvement efforts. It also clearly lists the top level needed inputs and the target outputs as required buy a down-stream user or customer. The following steps briefly describe how to construct a SIPOC chart – establish the start and finish of the value stream; summarize the processes (3-6) that yield the product or service; identify stakeholders and prioritize the critical (1-3) customers and their significant outputs, identify significant inputs and the respective supplier define/refine metrics for inputs, process and outputs.
  28. September 2009