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
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
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
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
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
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
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
September 2009
September 2009
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
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
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
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
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
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
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
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
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
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
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
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
September 2009 This is why we do Strategic Planning….
September 2009 This is why we do Strategic Planning….
September 2009 This is why we do Strategic Planning….
September 2009 This is why we do Strategic Planning….
September 2009 This is why we do Strategic Planning….
September 2009 This is why we do Strategic Planning….
September 2009 This is why we do Strategic Planning….
This is why we do Strategic Planning….
September 2009 16 Strategic Objectives. More streamlined, user-friendly, AMEDD-wide perspective.
September 2009 16 Strategic Objectives. More streamlined, user-friendly, AMEDD-wide perspective.
September 2009 16 Strategic Objectives. More streamlined, user-friendly, AMEDD-wide perspective.
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.
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.