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A Better Hospital
                       In Five Days
                  Jay Arthur  (888) 468-1537

                      Webinar:
www.qimacros.com/training/qi-macros-webinar/#healthcare

           Lean Six Sigma for Hospitals!
© MMIX KnowWare            www.qimacros.com           1
A Better Hospital in Five Days

          2 Sigma 30% defects 300,000PPM
You Are
 Here     3-4 Sigma 3% defects   30,000 PPM
          5 Sigma .03 defects    300 PPM
          6 Sigma .00003 defects 3 PPM




  © MMIX KnowWarewww.qimacros.com   2
Preventable Deaths per Week
                                      1 in 6 Patients suffers a
                                  complication from their treatment
                                            -Don Berwick
                                         1 in 100 die from it.




     Surgical      Medication Errors     Infections
© MMIX KnowWarewww.qimacros.com                3
Your Hospital Factory

                 Marketing and Sales


                   Your “Factory”


      Orders, Invoicing, Purchasing and Payments




© MMIX KnowWarewww.qimacros.com          4
The Fix-It Factory


      Your Hospital        Your Patients & Payors


                 The Fix-It Factory


              $ $ $ $ $ $ $ $ $ $


© MMIX KnowWarewww.qimacros.com         5
Defects - The 4-50 Rule
 Myth: The wider you spread it, the greater the returns
   To increase returns, narrow your focus
   4-50 rule - (20/80)2
   4% of business causes over 50% of waste and rework



                                                    Rule #3:
                                                    To increase returns,
                                                    narrow your focus.




                Power Distribution
© MMIX KnowWarewww.qimacros.com                           6
The Long Tail of LSS Tools
                    Hospitals do not need every tool
                       in the Six Sigma toolbox,
                      only the Magnificent Seven!




                 Master the Top 4%
© MMIX KnowWarewww.qimacros.com              7
Six Sigma Process
              Defects                Deviation

Count                                              Measure
                                                    (time)
             Control Chart      Control Chart
                               LSL           USL


Categorize

               Pareto            Histogram

Correct

          Fishbone               Fishbone
 © MMIX KnowWarewww.qimacros.com      8
Focus (Define and Measure)
     Focus your efforts in ways that achieve
     breakthrough improvements in speed,
     quality and cost.




          Control Chart           Pareto




© MMIX KnowWarewww.qimacros.com            9
Improve (Analyze and Improve)
     Use data to identify and eliminate root causes
     of problems involving time, defects and cost.
     4% of your business causes 50% of the waste,
     rework and lost profit.


Tools – Why? Why? Why? Why? Why?

                                  Action


                              Countermeasures
        Fishbone                  Matrix

© MMIX KnowWarewww.qimacros.com            10
Focus on Performance
Start with a control chart of defects, mistakes, errors or cost:




                                                    In 2005, the Mayo
                                                    Clinic Rochester
                                                    averaged one RFO
                                                    every 16 days.




© MMIX KnowWarewww.qimacros.com                      11
Use Paretos to Find What to Fix



                   Sponges accounted for
                   67.6% of RFOs




© MMIX KnowWarewww.qimacros.com            12
Initiate Root Cause Teams
 Identify subject experts to analyze the problem
 Schedule half or one day root cause analysis
 sessions for each “big bar” of the pareto chart.
 Analyze the root causes, validate they really are
 the root causes, and identify solutions.
 Develop action plan to implement the solutions
 Measure and validate the results as you
 implement solutions
                         Rule #4:
                         Use SWAT teams of experts.
© MMIX KnowWarewww.qimacros.com       13
Root Cause Analysis (RCA)
                 Materials             Process
       Sponges
                             Counting Supplies    Problem
                                  In/Out         Statement
                                                    Sponges
                                                   accounted
                                                   for 67.6%
                                                    of RFOs




           People                    Machines



© MMIX KnowWarewww.qimacros.com                  14
Verify Results (Before vs After)
Changed
process for
counting and
tracking
surgical
supplies and
instruments.
 Extended
time between
RFOs to 69
days.




  © MMIX KnowWarewww.qimacros.com   15
Eliminating Never Events
  Track each Never Event with g chart
  Use Pareto Charts to analyze most
  common contributor to Never Event
  Analyze root causes of “big bar” of Never
  Event.
  Implement countermeasures and verify
  results.
  Monitor improvement forever.
© MMIX KnowWarewww.qimacros.com   16
A Better OR in Two Minutes




  WHO Surgical Checklist: www.who.int/patientsafety/safesurgery/en/
© MMIX KnowWarewww.qimacros.com                         17
OR Checklist Results
  Reduced major complications by 36%,
  Reduced deaths by 47%
  Reduced patients returning to the OR by
  25%.
  OR nurse turnover, dropped from 23
  percent to 7 percent
  Employee satisfaction rose 19%

© MMIX KnowWarewww.qimacros.com   18
A Cheaper (More Profitable)
         Hospital in Five Days
        Sales   $$
                  $$



                             Delay            33%
                             Defects $
25%
         $
       People               Deviation
60%
                                              67%
                            $
                        Expenses

© MMIX KnowWarewww.qimacros.com          19
Focus on Performance
Start with a control chart of defects, mistakes, errors or costs:
                                                         Charges Coded as Denials

                  $3,000,000

                                        UCL                                                              $2,552,122
                  $2,500,000


                  $2,000,000


                  $1,500,000                                                                                                  Denials (E)
                                                                                                                              UCL
                                        CL                                                               $1,071,509           +2 Sigma
        Charges




                                                                                                                              +1 Sigma
                  $1,000,000
                                                                                                                              Average
                                                                                                                              -1 Sigma
                                                                                                                              -2 Sigma
                    $500,000                                                                                                  LCL



                        $-

                                        LCL                                                              $(409,103)
                   $(500,000)10/02   11/02    12/02   01/03   02/03   03/03   04/03   05/03   06/03   07/03   08/03   09/03



                  $(1,000,000)
                                                                       2002-2003


© MMIX KnowWarewww.qimacros.com                                                                                20
Go Deeper – Apply the 4-50 Rule




   4% of the Process Results in over 50% of the Errors


© MMIX KnowWarewww.qimacros.com                21
Use Paretos to Find What to Fix
                                                  Denial-No Appeal Charges
             n=12858108.93
           $12,858,109                                                                           99%         100%     100%
                                                                                  97%
                                                                   91%                                                90%
           $11,250,845
                                                      81%                                                             80%
            $9,643,582
                                                                                                                      70%
                          $7,849,569
            $8,036,318                   61%                                                                          60%
                                                            61% of Denied Claims
  Amount




            $6,429,054                                                                                                50%
                                                            Due to Untimely Filing
                                                                                                                      40%
            $4,821,791

                                                                                                                      30%
            $3,214,527                   $2,516,508
                                                                                                                      20%

            $1,607,264                                $1,295,032
                                                                    $750,766                                          10%
                                                                                   $336,270       $109,813     $150
                 $-                                                                                                   0%
                         Timely Filing    Medical      No Auth     Partial Auth   Invalid Auth         ET       ES
                                          Necessity
                                                                   Memo Code



© MMIX KnowWarewww.qimacros.com                                                                              22
Use Paretos to Find What to Fix
                                                          Denials for Timely Filing by Insurer
                          n=778
                         778                                                                           99%   99%    100% 100% 100% 100%
                                                                                          96%   98%
                                                                                    94%
                                                                              93%
                                                                        90%                                                              90%
                       680.75                                     87%
                                                           84%
                                                    81%                                                                                  80%
                        583.5                 75%
                                                                                                                                         70%
                                  501
                                        64%
                       486.25
   Number of Denials




                                                                                                                                         60%
                                                                 64% of Denied Due to
                         389                                                                                                             50%
                                                                 Timely Filing Claims Due
                                                                                                                                         40%
                       291.75
                                                                 to one Insurer
                                                                                                                                         30%
                        194.5
                                                                                                                                         20%

                        97.25           81
                                              45                                                                                         10%
                                                    27      24    24    18    15    14     11     7     4      4     1      1     1
                           0                                                                                                             0%
                                Ins 1 Ins 2 Ins 3 Ins 4 Ins 5 Ins 6 Ins 7 Ins 8 Ins 9 Ins 10 Ins 11 Ins 12 Ins 13 Ins 14 Ins 15 Ins 16
                                                                               Payer




© MMIX KnowWarewww.qimacros.com                                                                                          23
Identify Root Causes
     Use the fishbone diagram to perform root cause analysis:
              Medical Necessity            ER
                                  In Patient          Problem
                                                     Statement
                                    No Auth            Timely
                                                        Filing
                                                       64% of
 One Payor accounted for 64%       Reauthorization     Denials




                Payor                    Psych



© MMIX KnowWarewww.qimacros.com                      24
Countermeasures
                (Mistake Proofing)

  Countermeasure
      Work with insurance company to resolve
       excessive denials
   
       Reduce delays that contribute to timely filling
       denials




© MMIX KnowWarewww.qimacros.com           25
Verify Results




    Reduced denials by 35% starting the
     following Monday ($380,000/month)
© MMIX KnowWarewww.qimacros.com   26
Tips for a Good Improvement Story



     Control Chart                     Paretos

                              Action


                         Countermeasures
                                                 Control Chart with
Root Cause Analysis          Matrix
                                                  Process Change

 Make Sure Your Story Contains all of the Critical Elements
© MMIX KnowWarewww.qimacros.com                  27
Sustain (Control)
 Statistical Process Control (SPC)
Tools
      Control Charts –
       Analyze your data to determine process stability. Is your
                                                                                                                                                             X a C a t T le
                                                                                                                                                              B r h r it

                                                                                     0 6
                                                                                      .8


                                                                                                                                                                                                                                                                U L 0 1
                                                                                                                                                                                                                                                                 C = .8 9




       process consistent and predictable? Identify and research
                                                                                     0 1
                                                                                      .8


                                                                                                                                                                                                                                                                                        X v g
                                                                                                                                                                                                                                                                                         A era e




                                                                        u br
                                                                                                                                                                                                                                                                                        U L
                                                                                                                                                                                                                                                                                         C




                                                                       Nme
                                                                                     0 6
                                                                                      .7
                                                                                                                                                                                                                                                                                        A
                                                                                                                                                                                                                                                                                        B
                                                                                                                                                                                                                                                                                        A rag
                                                                                                                                                                                                                                                                                         ve  e
                                                                                                                                                                                                                                                                C = .7 6
                                                                                                                                                                                                                                                                 L 0 1




       unstable points and conditions.
                                                                                                                                                                                                                                                                                        B
                                                                                     0 1
                                                                                      .7                                                                                                                                                                                                A
                                                                                                                                                                                                                                                                                        L L
                                                                                                                                                                                                                                                                                         C




                                                                                     0 6
                                                                                      .6



                                                                                                                                                                                                                                                                L L 0 1
                                                                                                                                                                                                                                                                 C = .6 3




       Histograms–




                                                                                                                                                   6 08 m




                                                                                                                                                                                  6 18 m




                                                                                                                                                                                                                 6 28 m




                                                                                                                                                                                                                                              6 58 m




                                                                                                                                                                                                                                                                               6 68 m
                                                                                           6 8m




                                                                                                                       6 8m
                                                                                     0 1
                                                                                      .6




                                                                                                     0m




                                                                                                                                0m

                                                                                                                                     12 m




                                                                                                                                                             0m

                                                                                                                                                                    1 m




                                                                                                                                                                                                    1 pm
                                                                                                           2 m




                                                                                                                                                                                               0m




                                                                                                                                                                                                                           0m

                                                                                                                                                                                                                                  2 m




                                                                                                                                                                                                                                                           0m

                                                                                                                                                                                                                                                                   2 m
                                                                                                                                                                              m




                                                                                                                                                                                                            pm
                                                                                                                 2 m




                                                                                                                                             2 m




                                                                                                                                                                                                                                        2 m




                                                                                                                                                                                                                                                                         2 m
                                                                                                                                                    /1 a




                                                                                                                                                                                   /1 a




                                                                                                                                                                                                                  /1 a




                                                                                                                                                                                                                                               /1 a




                                                                                                                                                                                                                                                                                /1 a
                                                                                            /8 a




                                                                                                                        /9 a



                                                                                                                                       p




                                                                                                                                                                     2p
                                                                                                    1 a




                                                                                                                               1 a




                                                                                                                                                            1 a




                                                                                                                                                                                              1 a




                                                                                                                                                                                                                          1 a




                                                                                                                                                                                                                                                          1 a
                                                                                                          1 p




                                                                                                                                                                                                                                 1 p




                                                                                                                                                                                                                                                                  1 p
                                                                                                                                                                            2p
                                                                                                                  p




                                                                                                                                              p




                                                                                                                                                                                                                                         p




                                                                                                                                                                                                                                                                          p
                                                                                                                                                                                                     2

                                                                                                                                                                                                           2
                                                                                                                                                      D te i e Pe i d u b r
                                                                                                                                                        a /Tm / r o /N m e




       Determine the distribution of measurable data and the                                                                                                              Histogram

       capability of your process to meet customer requirements.                n= 4 8
                                                                                25                 LSL= - 2 4


                                                                                                                                                                                   M e dia n = 0
                                                                                                                                                                                                                                                 USL= 2 4
                                                                                                                                                                                                                                 Cp( sigm a ) = 1 .0
                                                                                                                                                                                                                                 Cpk ( sigm a ) = 1 .0
                                                                                                                                                                                                                                 Cp( Rd 2 ) = 1 .2




       Flowcharts –
                                                                                                                                                                                                                                 Cpk ( Rd2 ) = 1 .2
                                                                                20

                                                                                                                                                                                                                                Pp= 1 .0
                                                                                                                                                                                                                                 Ppk = 1 .0
                                                                                                                                                                                                                                 Sigm a= 8 .0
                                                                                15



       Show the improved process including all activities, decisions




                                                                       Number
                                                                                                                                                       Mean= 0
                                                                                10




       and measurement points.                                                   5




                                                                                 0
                                                                                                    -24 to -18         -18 to -12           -12 to -6             -6 to 0                  0 to 6          6 to 12              12 to 18               18 to 24          24 to 30

                                                                                                                                                                                  Values




© MMIX KnowWarewww.qimacros.com                                        28
Secret to Faster, Better,
         Cheaper Healthcare
   Focus on “mission and profit critical” problems
   Set BHAGs -Big Hairy Audacious Goals to reduce
   defects, delay, deviation or cost by 50% or more
   in six months or less.
   Simplify and Streamline:
   Focus on removing NVA—Non-value added
   Optimize—Eliminate Defects and Deviation
   Implement solutions and verify results

© MMIX KnowWarewww.qimacros.com        29
Implementing Faster, Better, Cheaper
             Crawl-Walk-Run to Success




• Start small for big results
• Engage informal leaders
• Use the 3-57 and 4-50 rules


                                Power Laws (4-50 rule)

© MMIX KnowWarewww.qimacros.com              30
Patient Satisfaction = Profits

  To accelerate your speed…
      Eliminate unnecessary delay and movement
       (3-57 Rule)
  To increase your returns…
      Narrow your focus (4-50 rule)
  To engage your people..
   
       Reduce the number of people involved
      Engage informal not formal network


© MMIX KnowWarewww.qimacros.com        31
Resources for Faster, Better,
      Cheaper Healthcare
               QI Macros Software for Excel
               Control Charts, Paretos, Fishbones and more

                           Project and Data Analysis
                           Team Facilitation
                           Lean Six Sigma Training

                       Lean Six Sigma Systems
                       for Faster, Better,
                       Cheaper Healthcare

© MMIX KnowWarewww.qimacros.com            32
Free Resources and Contact Info
Lean Six Sigma Money Belt Training: www.lssmb.com
Lean Six Sigma for Hospitals Linkedin Group
30 Day Eval Copy of the QI Macros –qimacros.com/freestuff.html
Action Plan: qimacros.com/pdf/six-sigma-action-plan.pdf
Lean Six Sigma Reference Card: qimacros.com/JobAid.pdf
Dirty 30 Process for Six Sigma Software: qimacros.com/pdf/dirty30.pdf
Handout: qimacros.com/pdf/faster-better-cheaper-healthcare.pdf




Jay Arthur
KnowWare® International
2253 S. Oneida St. Ste 3D
Denver, CO 80224
(888) 468-1537
jay@qimacros.com
www.qimacros.com

© MMIX KnowWarewww.qimacros.com                                         33

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A Better Hospital in Five Days

  • 1. A Better Hospital In Five Days Jay Arthur (888) 468-1537 Webinar: www.qimacros.com/training/qi-macros-webinar/#healthcare Lean Six Sigma for Hospitals! © MMIX KnowWare www.qimacros.com 1
  • 2. A Better Hospital in Five Days 2 Sigma 30% defects 300,000PPM You Are Here 3-4 Sigma 3% defects 30,000 PPM 5 Sigma .03 defects 300 PPM 6 Sigma .00003 defects 3 PPM © MMIX KnowWarewww.qimacros.com 2
  • 3. Preventable Deaths per Week 1 in 6 Patients suffers a complication from their treatment -Don Berwick 1 in 100 die from it. Surgical Medication Errors Infections © MMIX KnowWarewww.qimacros.com 3
  • 4. Your Hospital Factory Marketing and Sales Your “Factory” Orders, Invoicing, Purchasing and Payments © MMIX KnowWarewww.qimacros.com 4
  • 5. The Fix-It Factory Your Hospital Your Patients & Payors The Fix-It Factory $ $ $ $ $ $ $ $ $ $ © MMIX KnowWarewww.qimacros.com 5
  • 6. Defects - The 4-50 Rule Myth: The wider you spread it, the greater the returns To increase returns, narrow your focus 4-50 rule - (20/80)2 4% of business causes over 50% of waste and rework Rule #3: To increase returns, narrow your focus. Power Distribution © MMIX KnowWarewww.qimacros.com 6
  • 7. The Long Tail of LSS Tools Hospitals do not need every tool in the Six Sigma toolbox, only the Magnificent Seven! Master the Top 4% © MMIX KnowWarewww.qimacros.com 7
  • 8. Six Sigma Process Defects Deviation Count Measure (time) Control Chart Control Chart LSL USL Categorize Pareto Histogram Correct Fishbone Fishbone © MMIX KnowWarewww.qimacros.com 8
  • 9. Focus (Define and Measure) Focus your efforts in ways that achieve breakthrough improvements in speed, quality and cost. Control Chart Pareto © MMIX KnowWarewww.qimacros.com 9
  • 10. Improve (Analyze and Improve) Use data to identify and eliminate root causes of problems involving time, defects and cost. 4% of your business causes 50% of the waste, rework and lost profit. Tools – Why? Why? Why? Why? Why? Action Countermeasures Fishbone Matrix © MMIX KnowWarewww.qimacros.com 10
  • 11. Focus on Performance Start with a control chart of defects, mistakes, errors or cost: In 2005, the Mayo Clinic Rochester averaged one RFO every 16 days. © MMIX KnowWarewww.qimacros.com 11
  • 12. Use Paretos to Find What to Fix Sponges accounted for 67.6% of RFOs © MMIX KnowWarewww.qimacros.com 12
  • 13. Initiate Root Cause Teams Identify subject experts to analyze the problem Schedule half or one day root cause analysis sessions for each “big bar” of the pareto chart. Analyze the root causes, validate they really are the root causes, and identify solutions. Develop action plan to implement the solutions Measure and validate the results as you implement solutions Rule #4: Use SWAT teams of experts. © MMIX KnowWarewww.qimacros.com 13
  • 14. Root Cause Analysis (RCA) Materials Process Sponges Counting Supplies Problem In/Out Statement Sponges accounted for 67.6% of RFOs People Machines © MMIX KnowWarewww.qimacros.com 14
  • 15. Verify Results (Before vs After) Changed process for counting and tracking surgical supplies and instruments. Extended time between RFOs to 69 days. © MMIX KnowWarewww.qimacros.com 15
  • 16. Eliminating Never Events Track each Never Event with g chart Use Pareto Charts to analyze most common contributor to Never Event Analyze root causes of “big bar” of Never Event. Implement countermeasures and verify results. Monitor improvement forever. © MMIX KnowWarewww.qimacros.com 16
  • 17. A Better OR in Two Minutes WHO Surgical Checklist: www.who.int/patientsafety/safesurgery/en/ © MMIX KnowWarewww.qimacros.com 17
  • 18. OR Checklist Results Reduced major complications by 36%, Reduced deaths by 47% Reduced patients returning to the OR by 25%. OR nurse turnover, dropped from 23 percent to 7 percent Employee satisfaction rose 19% © MMIX KnowWarewww.qimacros.com 18
  • 19. A Cheaper (More Profitable) Hospital in Five Days Sales $$ $$ Delay 33% Defects $ 25% $ People Deviation 60% 67% $ Expenses © MMIX KnowWarewww.qimacros.com 19
  • 20. Focus on Performance Start with a control chart of defects, mistakes, errors or costs: Charges Coded as Denials $3,000,000 UCL $2,552,122 $2,500,000 $2,000,000 $1,500,000 Denials (E) UCL CL $1,071,509 +2 Sigma Charges +1 Sigma $1,000,000 Average -1 Sigma -2 Sigma $500,000 LCL $- LCL $(409,103) $(500,000)10/02 11/02 12/02 01/03 02/03 03/03 04/03 05/03 06/03 07/03 08/03 09/03 $(1,000,000) 2002-2003 © MMIX KnowWarewww.qimacros.com 20
  • 21. Go Deeper – Apply the 4-50 Rule 4% of the Process Results in over 50% of the Errors © MMIX KnowWarewww.qimacros.com 21
  • 22. Use Paretos to Find What to Fix Denial-No Appeal Charges n=12858108.93 $12,858,109 99% 100% 100% 97% 91% 90% $11,250,845 81% 80% $9,643,582 70% $7,849,569 $8,036,318 61% 60% 61% of Denied Claims Amount $6,429,054 50% Due to Untimely Filing 40% $4,821,791 30% $3,214,527 $2,516,508 20% $1,607,264 $1,295,032 $750,766 10% $336,270 $109,813 $150 $- 0% Timely Filing Medical No Auth Partial Auth Invalid Auth ET ES Necessity Memo Code © MMIX KnowWarewww.qimacros.com 22
  • 23. Use Paretos to Find What to Fix Denials for Timely Filing by Insurer n=778 778 99% 99% 100% 100% 100% 100% 96% 98% 94% 93% 90% 90% 680.75 87% 84% 81% 80% 583.5 75% 70% 501 64% 486.25 Number of Denials 60% 64% of Denied Due to 389 50% Timely Filing Claims Due 40% 291.75 to one Insurer 30% 194.5 20% 97.25 81 45 10% 27 24 24 18 15 14 11 7 4 4 1 1 1 0 0% Ins 1 Ins 2 Ins 3 Ins 4 Ins 5 Ins 6 Ins 7 Ins 8 Ins 9 Ins 10 Ins 11 Ins 12 Ins 13 Ins 14 Ins 15 Ins 16 Payer © MMIX KnowWarewww.qimacros.com 23
  • 24. Identify Root Causes Use the fishbone diagram to perform root cause analysis: Medical Necessity ER In Patient Problem Statement No Auth Timely Filing 64% of One Payor accounted for 64% Reauthorization Denials Payor Psych © MMIX KnowWarewww.qimacros.com 24
  • 25. Countermeasures (Mistake Proofing) Countermeasure  Work with insurance company to resolve excessive denials  Reduce delays that contribute to timely filling denials © MMIX KnowWarewww.qimacros.com 25
  • 26. Verify Results Reduced denials by 35% starting the following Monday ($380,000/month) © MMIX KnowWarewww.qimacros.com 26
  • 27. Tips for a Good Improvement Story Control Chart Paretos Action Countermeasures Control Chart with Root Cause Analysis Matrix Process Change Make Sure Your Story Contains all of the Critical Elements © MMIX KnowWarewww.qimacros.com 27
  • 28. Sustain (Control) Statistical Process Control (SPC) Tools  Control Charts – Analyze your data to determine process stability. Is your X a C a t T le B r h r it 0 6 .8 U L 0 1 C = .8 9 process consistent and predictable? Identify and research 0 1 .8 X v g A era e u br U L C Nme 0 6 .7 A B A rag ve e C = .7 6 L 0 1 unstable points and conditions. B 0 1 .7 A L L C 0 6 .6 L L 0 1 C = .6 3 Histograms– 6 08 m 6 18 m 6 28 m 6 58 m 6 68 m 6 8m 6 8m 0 1 .6 0m 0m 12 m 0m 1 m 1 pm 2 m 0m 0m 2 m 0m 2 m m pm 2 m 2 m 2 m 2 m /1 a /1 a /1 a /1 a /1 a /8 a /9 a p 2p 1 a 1 a 1 a 1 a 1 a 1 a 1 p 1 p 1 p 2p p p p p 2 2  D te i e Pe i d u b r a /Tm / r o /N m e Determine the distribution of measurable data and the Histogram capability of your process to meet customer requirements. n= 4 8 25 LSL= - 2 4 M e dia n = 0 USL= 2 4 Cp( sigm a ) = 1 .0 Cpk ( sigm a ) = 1 .0 Cp( Rd 2 ) = 1 .2 Flowcharts – Cpk ( Rd2 ) = 1 .2 20  Pp= 1 .0 Ppk = 1 .0 Sigm a= 8 .0 15 Show the improved process including all activities, decisions Number Mean= 0 10 and measurement points. 5 0 -24 to -18 -18 to -12 -12 to -6 -6 to 0 0 to 6 6 to 12 12 to 18 18 to 24 24 to 30 Values © MMIX KnowWarewww.qimacros.com 28
  • 29. Secret to Faster, Better, Cheaper Healthcare Focus on “mission and profit critical” problems Set BHAGs -Big Hairy Audacious Goals to reduce defects, delay, deviation or cost by 50% or more in six months or less. Simplify and Streamline: Focus on removing NVA—Non-value added Optimize—Eliminate Defects and Deviation Implement solutions and verify results © MMIX KnowWarewww.qimacros.com 29
  • 30. Implementing Faster, Better, Cheaper Crawl-Walk-Run to Success • Start small for big results • Engage informal leaders • Use the 3-57 and 4-50 rules Power Laws (4-50 rule) © MMIX KnowWarewww.qimacros.com 30
  • 31. Patient Satisfaction = Profits To accelerate your speed…  Eliminate unnecessary delay and movement (3-57 Rule) To increase your returns…  Narrow your focus (4-50 rule) To engage your people..  Reduce the number of people involved  Engage informal not formal network © MMIX KnowWarewww.qimacros.com 31
  • 32. Resources for Faster, Better, Cheaper Healthcare QI Macros Software for Excel Control Charts, Paretos, Fishbones and more Project and Data Analysis Team Facilitation Lean Six Sigma Training Lean Six Sigma Systems for Faster, Better, Cheaper Healthcare © MMIX KnowWarewww.qimacros.com 32
  • 33. Free Resources and Contact Info Lean Six Sigma Money Belt Training: www.lssmb.com Lean Six Sigma for Hospitals Linkedin Group 30 Day Eval Copy of the QI Macros –qimacros.com/freestuff.html Action Plan: qimacros.com/pdf/six-sigma-action-plan.pdf Lean Six Sigma Reference Card: qimacros.com/JobAid.pdf Dirty 30 Process for Six Sigma Software: qimacros.com/pdf/dirty30.pdf Handout: qimacros.com/pdf/faster-better-cheaper-healthcare.pdf Jay Arthur KnowWare® International 2253 S. Oneida St. Ste 3D Denver, CO 80224 (888) 468-1537 jay@qimacros.com www.qimacros.com © MMIX KnowWarewww.qimacros.com 33

Editor's Notes

  1. The Centers for Disease Control and Prevention estimates these terrible, but preventable infections killed 10,000 of the 41,000 patients who acquired them while being cared for in U.S. intensive care units in 2009. Providing the additional care the infections required added $700 million to the healthcare bill. Perhaps because of dramatic implementation of Pronovost's checklist, these numbers are a dramatic reduction from two years ago when the CDC estimated 248,000 CLABSIs a year with between 31,000 to 60,000 deaths and a cost of $2.7 billion.