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Wait Time
Reduction Project
By Andrew Phillips
July 16, 2012
Situation
              Three (3) new Medical Oncologists (Doctors) joined the practice six weeks ago,
               increasing the number of Medical Oncologists at the Practice from 5 to 8. Since the
               addition of the 3 new oncologists, patient wait times for Exam visits have risen sharply
               from an average of 13 minutes to 31 minutes. This is a 140% increase.
              Reduce average wait time to x number of minutes (see what the customer would like
               to see as a minimum, an average, and maximum wait time.)
              The patients are scheduled in 15 minute intervals for each physician.
              There was increase from 140 to 224 opportunities for patients. This represents a 60%
               increase in patient load.
              Assumption: Percentage of the number of patients per physician was constant.
              The laboratory employs 3 full time phlebotomists who draw blood, and each draw takes
               7.5 minutes on average.
              Assumption: The Laboratory will need another 10 minutes to deliver the results to the
               physician.



 Copyright © 2010 US Oncology, Inc. All rights reserved.   2
Problem
     The patients have complained about the increase wait time.
     This backlog increases throughout the day which causes
      overtime and working through lunch and breaks.
     Patients may leave, causing decrease in revenue.
     Workers are overworked.




Copyright © 2010 US Oncology, Inc. All rights reserved.
Measurements
     Using Lean Six Sigma tool set of statistics analysis see how to
      better manage the patient flow and find solutions
     Map the process with Swim lanes.
     Develop a CTQ tree to see what is important to the customers
     Measure Lab process times and the time it takes to get the data
      to the physician.
     Individual Moving Range (IMR) chart – showing the variance in
      the process and how we can reduce the variance. This is using
      variable data and sample size of 1.
     Measure the wait times more closely and see if there is a
      correlation between physician and number of patients scheduled.

Copyright © 2010 US Oncology, Inc. All rights reserved.
8 :0




                                                                           0
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                                                                  0A
                                                           8 :1        M
                                                                  5A
                                                           8 :3        M
                                                                  0A
                                                           8 :4        M




                                                                                   LCL=2.4188
                                                                                                                             UCL=8.1329



                                                                                                            CEN=5.2759
                                                                  5A
                                                           9 :0        M




Copyright © 2010 US Oncology, Inc. All rights reserved.
                                                                  0A
                                                           9 :1        M
                                                                  5A
                                                           9 :3        M
                                                                  0A
                                                           9 :4        M
                                                                  5A
                                                          10      M
                                                               :00
                                                          10    AM
                                                            :15
                                                          10 AM
                                                            :30
                                                          10 AM
                                                            :45
                                                          11 AM
                                                            :00
                                                          11 AM
                                                            :15
                                                          11 AM
                                                            :30
                                                          11 AM
                                                            :45
                                                          12 AM
                                                            :00
                                                          12 PM
                                                            :15
                                                                                                                                          Individuals Chart




                                                          12 PM
                                                            :30
                                                          12 PM
                                                            :45
                                                                P
                                                           1 :0 M
                                                               0P
                                                           1 :1 M
                                                               5P
                                                           1 :3 M
                                                               0P
                                                           1 :4 M
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                                                               0P
                                                           2 :1 M
                                                               5P
                                                           2 :3 M
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                                                               5P
                                                           4 :0 M
                                                                                                                                                              Individual Moving Range Chart




                                                               0P
                                                                  M
Current Data Analyses
             Average (Mean) patients per time slot is 5.27.
             Standard deviation is 2.4.
             Total number of patients for the day is 153.
             Total number of time slots is 224.
             Usage 68.3%.
             Mode 7.
             Median 6.
             Average wait time 31 minutes.
             Data needed:
                         Wait time per lab process.
                         Wait time per drawing blood.
                         Wait time per patient/per physician.
                         Wait time per patient load.


Copyright © 2010 US Oncology, Inc. All rights reserved.
Data Analyses
     Other tools which we need to use:
                   Cause and Effect Diagram.
                   Design of Experiment (DOE) to see what impacts the wait
                    time the most.
                   Scatter Diagram to show relationship between wait time,
                    physician, patient load, and time of day.
                   Hypothesis testing to prove or disprove any hypothesis.




Copyright © 2010 US Oncology, Inc. All rights reserved.
Improve
     Continue collecting data to see if patient wait time has improve.
     Example of how we might improve the patient wait time.
                   Increase Average (Mean) patients per time slot is 5.27 to 6
                   Hire 1-2 phlebotomists.
                   Increase total number of patients 194 74% usage instead of
                    58.8% (48% increase)
                   Reduce - Standard deviation from 2.4 to 1.




Copyright © 2010 US Oncology, Inc. All rights reserved.
Control
     Document new process and new procedures for reduced wait
      time.
     Communicate this to customers as well as physicians and
      workers.
     Communicate improve and savings to everyone.
     Share success.




Copyright © 2010 US Oncology, Inc. All rights reserved.
Process Map




Copyright © 2010 US Oncology, Inc. All rights reserved.
8 :0




                                                                           0
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                                                                                                                                      9
                                                                  0A
                                                           8 :1        M
                                                                  5A
                                                           8 :3        M
                                                                  0A
                                                           8 :4        M




                                                                                   LCL=2.4188
                                                                                                                             UCL=8.1329



                                                                                                            CEN=5.2759
                                                                  5A
                                                           9 :0        M




Copyright © 2010 US Oncology, Inc. All rights reserved.
                                                                  0A
                                                           9 :1        M
                                                                  5A
                                                           9 :3        M
                                                                  0A
                                                           9 :4        M
                                                                  5A
                                                          10      M
                                                               :00
                                                          10    AM
                                                            :15
                                                          10 AM
                                                            :30
                                                          10 AM
                                                            :45
                                                          11 AM
                                                            :00
                                                          11 AM
                                                            :15
                                                          11 AM
                                                            :30
                                                          11 AM
                                                            :45
                                                          12 AM
                                                            :00
                                                          12 PM
                                                            :15
                                                                                                                                          Individuals Chart




                                                          12 PM
                                                            :30
                                                          12 PM
                                                            :45
                                                                P
                                                           1 :0 M
                                                               0P
                                                           1 :1 M
                                                               5P
                                                           1 :3 M
                                                               0P
                                                           1 :4 M
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                                                                                                                                                              Individual Moving Range




                                                               0P
                                                           2 :1 M
                                                               5P
                                                           2 :3 M
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                                                           2 :4 M
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                                                           3 :0 M
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                                                           3 :3 M
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                                                               5P
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                                                               0P
                                                                  M

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Wait time reduction

  • 1. Wait Time Reduction Project By Andrew Phillips July 16, 2012
  • 2. Situation  Three (3) new Medical Oncologists (Doctors) joined the practice six weeks ago, increasing the number of Medical Oncologists at the Practice from 5 to 8. Since the addition of the 3 new oncologists, patient wait times for Exam visits have risen sharply from an average of 13 minutes to 31 minutes. This is a 140% increase.  Reduce average wait time to x number of minutes (see what the customer would like to see as a minimum, an average, and maximum wait time.)  The patients are scheduled in 15 minute intervals for each physician.  There was increase from 140 to 224 opportunities for patients. This represents a 60% increase in patient load.  Assumption: Percentage of the number of patients per physician was constant.  The laboratory employs 3 full time phlebotomists who draw blood, and each draw takes 7.5 minutes on average.  Assumption: The Laboratory will need another 10 minutes to deliver the results to the physician. Copyright © 2010 US Oncology, Inc. All rights reserved. 2
  • 3. Problem  The patients have complained about the increase wait time.  This backlog increases throughout the day which causes overtime and working through lunch and breaks.  Patients may leave, causing decrease in revenue.  Workers are overworked. Copyright © 2010 US Oncology, Inc. All rights reserved.
  • 4. Measurements  Using Lean Six Sigma tool set of statistics analysis see how to better manage the patient flow and find solutions  Map the process with Swim lanes.  Develop a CTQ tree to see what is important to the customers  Measure Lab process times and the time it takes to get the data to the physician.  Individual Moving Range (IMR) chart – showing the variance in the process and how we can reduce the variance. This is using variable data and sample size of 1.  Measure the wait times more closely and see if there is a correlation between physician and number of patients scheduled. Copyright © 2010 US Oncology, Inc. All rights reserved.
  • 5. 8 :0 0 1 2 3 4 5 6 7 8 9 0A 8 :1 M 5A 8 :3 M 0A 8 :4 M LCL=2.4188 UCL=8.1329 CEN=5.2759 5A 9 :0 M Copyright © 2010 US Oncology, Inc. All rights reserved. 0A 9 :1 M 5A 9 :3 M 0A 9 :4 M 5A 10 M :00 10 AM :15 10 AM :30 10 AM :45 11 AM :00 11 AM :15 11 AM :30 11 AM :45 12 AM :00 12 PM :15 Individuals Chart 12 PM :30 12 PM :45 P 1 :0 M 0P 1 :1 M 5P 1 :3 M 0P 1 :4 M 5P 2 :0 M 0P 2 :1 M 5P 2 :3 M 0P 2 :4 M 5P 3 :0 M 0P 3 :1 M 5P 3 :3 M 0P 3 :4 M 5P 4 :0 M Individual Moving Range Chart 0P M
  • 6. Current Data Analyses  Average (Mean) patients per time slot is 5.27.  Standard deviation is 2.4.  Total number of patients for the day is 153.  Total number of time slots is 224.  Usage 68.3%.  Mode 7.  Median 6.  Average wait time 31 minutes.  Data needed:  Wait time per lab process.  Wait time per drawing blood.  Wait time per patient/per physician.  Wait time per patient load. Copyright © 2010 US Oncology, Inc. All rights reserved.
  • 7. Data Analyses  Other tools which we need to use:  Cause and Effect Diagram.  Design of Experiment (DOE) to see what impacts the wait time the most.  Scatter Diagram to show relationship between wait time, physician, patient load, and time of day.  Hypothesis testing to prove or disprove any hypothesis. Copyright © 2010 US Oncology, Inc. All rights reserved.
  • 8. Improve  Continue collecting data to see if patient wait time has improve.  Example of how we might improve the patient wait time.  Increase Average (Mean) patients per time slot is 5.27 to 6  Hire 1-2 phlebotomists.  Increase total number of patients 194 74% usage instead of 58.8% (48% increase)  Reduce - Standard deviation from 2.4 to 1. Copyright © 2010 US Oncology, Inc. All rights reserved.
  • 9. Control  Document new process and new procedures for reduced wait time.  Communicate this to customers as well as physicians and workers.  Communicate improve and savings to everyone.  Share success. Copyright © 2010 US Oncology, Inc. All rights reserved.
  • 10. Process Map Copyright © 2010 US Oncology, Inc. All rights reserved.
  • 11. 8 :0 0 1 2 3 4 5 6 7 8 9 0A 8 :1 M 5A 8 :3 M 0A 8 :4 M LCL=2.4188 UCL=8.1329 CEN=5.2759 5A 9 :0 M Copyright © 2010 US Oncology, Inc. All rights reserved. 0A 9 :1 M 5A 9 :3 M 0A 9 :4 M 5A 10 M :00 10 AM :15 10 AM :30 10 AM :45 11 AM :00 11 AM :15 11 AM :30 11 AM :45 12 AM :00 12 PM :15 Individuals Chart 12 PM :30 12 PM :45 P 1 :0 M 0P 1 :1 M 5P 1 :3 M 0P 1 :4 M 5P 2 :0 M Individual Moving Range 0P 2 :1 M 5P 2 :3 M 0P 2 :4 M 5P 3 :0 M 0P 3 :1 M 5P 3 :3 M 0P 3 :4 M 5P 4 :0 M 0P M