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Introducing:
B – SOR – E
Booking System for Operating Room Emergencies
PARTICIPATING PHYSICIANS AND SURGEONS
FEBRUARY 2017
Dr. Simon Treissman MD FRCSC
Royal Inland Hospital
Kamloops, BC, Canada
We have a problem…
“Too many” emergency
Cases…….
(eight per day)
….”not enough” OR time
3. Unsatisfactory
outcomes
1. Delays
2. Longer
wait times
We have a problem…
…Disruptive physicians
Surgeons were gaming the static ER booking system
…surgeons were
“wigging out”.
…surgeons were acting in an
immature manner…..
We have a problem….
Understanding the problem…
Part of the problem is inefficiency
•Static “pen on paper” system
•Illegible writing
•Inflexible system
•Poor archiving / integration
•Unnecessary phone calls
”fix it”…..
We need a solution…
 We needed a digital emergency OR
booking system that get’s into the DNA of the
problem….
Display
Notification
Analytics and Archiving...
….we needed a solution….
How?
“B – SOR - E” Materials & Methods
Design and preparation of booking system.
Screen # 1
(pre-op)
Screen # 2
(post-op)
Cases added at the bottom
Cases travel up
Colour coded
Cases travel down
Completed cases
Archived to USB stick
Every 24 hrs for analytics
Notification
We have flow!
“B – SOR - E” Materials & Methods
Achieving Notification via SMS.
Short Message System (SMS) gateway by SwiftR
for
notification of stakeholders.
We called for your patient !
“B – SOR - E” materials & methods
Achieving Analytics on the acquired data
Analytics software by TableauR
for real time analytics
(About 5 s)
Software
“B - SOR – E” Materials and Methods
The booking planetary system…
 Why is it better to look at emergency surgery wait
lists first?
Urology Elective cases
(Several hundred different cases)
Cancer
Non-obstructing Kidney Stones
Benign Prostate Disorders
Scrotal Abnormalities
Benign Kidney Disorders
Elective Sterilization / Reversal
Incontinence
Urology Emergency Cases
(Seven different basic cases)
Obstructing Stone
Acute scrotum
Bladder Outlet Obstruction
Trauma
Gross Hematuria
Priapism
Emergency cases tend to be large in number low in variability.
…some advantages to the emergency booking environment
“B – SOR - E” Materials & Methods
Design and preparation of a booking system.
Ortho (8)
G Surgery (8)
N Surgery (4)
Obstetrics (6)
Vascular (2)
Graphical Data Stream
“B – SOR - E” Materials & methods
“Statistical control” through real time data analytics…..
We can continue to operate safely in marginal or
high demand conditions Anaesthesia Monitor
Dashboard 2005 Ford Taurus
Mmmmmmm purple….
“B – SOR - E” materials & methods
TableauR
analytics:
Rapid graphical evaluation
•Cluster detection
•Outlier detection
•Rapid trend detection
•Seasonal variation
•Detect “gaming”
Outlier detected
One example of ‘abnormal variance’
“B – SOR -E” materials & methods
Data analytics:
3. Insight courtesy of Mahesh Nagarajan Sauder module # 3
Basic process analysis: Variability, Capacity, Flow time
Limited
Capacity
System
Reduce
Input 5%
Increase
flow
35%
Outliers have been removed
Elective cases
“B – SOR - E” What did we learn?
Safe Assumption:
‘Some orthopaedic surgeons are faster than others’
 Average time per ER case: 116 min
 Dr. Red 199 170% 268 min.
 Dr. Orange 140
 Dr. Yellow 131
 Dr. Green 99
 Dr. Blue 95
 Dr. Indigo 81
 Dr. Violet 69 59% 56 min.
 Average = 116 minutes
We learned to mix fast and slow surgeons
(reduced variability = improved flow)
“B – SOR - E”
Average time taken to perform hip hemi-arthoplasty (minutes)
Average time
= 116 minutes
268 min.
“B – SOR - E”
Reducing overall variability by mixing
surgical work types “surgical smoothing”
(mixing fast with slow)
T
(Hrs)
Average time
Hemi A Tibia Femur
What can HA do with the data?
“B – SOR - E”
What did we learn?
New Metrics
Case activity : Call ratio
Analytics + Theory = Power to “adjust”
Here’s a practical example……….
Adjustments for procedure time
• (Mix fast surgeons with slow surgeons)
Adjustments for case activity rate
• (Mix more active surgeons with less active surgeons)
Adjustments for weekend / weekday activity
• (Mix more active surgeons with less active surgeons)
“B – SOR – E’” (New & Old)
Ready?
1. Implementation phase
2. Funding
3. Consent from IHA-SET
4. Single site pilot

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Kamloops Emergency Surgery Booking System (project staff presentation: surgeons)

  • 1. Introducing: B – SOR – E Booking System for Operating Room Emergencies PARTICIPATING PHYSICIANS AND SURGEONS FEBRUARY 2017 Dr. Simon Treissman MD FRCSC Royal Inland Hospital Kamloops, BC, Canada
  • 2. We have a problem… “Too many” emergency Cases……. (eight per day) ….”not enough” OR time 3. Unsatisfactory outcomes 1. Delays 2. Longer wait times
  • 3. We have a problem… …Disruptive physicians Surgeons were gaming the static ER booking system …surgeons were “wigging out”. …surgeons were acting in an immature manner…..
  • 4. We have a problem…. Understanding the problem… Part of the problem is inefficiency •Static “pen on paper” system •Illegible writing •Inflexible system •Poor archiving / integration •Unnecessary phone calls ”fix it”…..
  • 5. We need a solution…  We needed a digital emergency OR booking system that get’s into the DNA of the problem…. Display Notification Analytics and Archiving... ….we needed a solution…. How?
  • 6. “B – SOR - E” Materials & Methods Design and preparation of booking system. Screen # 1 (pre-op) Screen # 2 (post-op) Cases added at the bottom Cases travel up Colour coded Cases travel down Completed cases Archived to USB stick Every 24 hrs for analytics Notification We have flow!
  • 7. “B – SOR - E” Materials & Methods Achieving Notification via SMS. Short Message System (SMS) gateway by SwiftR for notification of stakeholders. We called for your patient !
  • 8. “B – SOR - E” materials & methods Achieving Analytics on the acquired data Analytics software by TableauR for real time analytics (About 5 s) Software
  • 9. “B - SOR – E” Materials and Methods The booking planetary system…  Why is it better to look at emergency surgery wait lists first? Urology Elective cases (Several hundred different cases) Cancer Non-obstructing Kidney Stones Benign Prostate Disorders Scrotal Abnormalities Benign Kidney Disorders Elective Sterilization / Reversal Incontinence Urology Emergency Cases (Seven different basic cases) Obstructing Stone Acute scrotum Bladder Outlet Obstruction Trauma Gross Hematuria Priapism Emergency cases tend to be large in number low in variability. …some advantages to the emergency booking environment
  • 10. “B – SOR - E” Materials & Methods Design and preparation of a booking system. Ortho (8) G Surgery (8) N Surgery (4) Obstetrics (6) Vascular (2) Graphical Data Stream
  • 11. “B – SOR - E” Materials & methods “Statistical control” through real time data analytics….. We can continue to operate safely in marginal or high demand conditions Anaesthesia Monitor Dashboard 2005 Ford Taurus Mmmmmmm purple….
  • 12. “B – SOR - E” materials & methods TableauR analytics: Rapid graphical evaluation •Cluster detection •Outlier detection •Rapid trend detection •Seasonal variation •Detect “gaming” Outlier detected One example of ‘abnormal variance’
  • 13. “B – SOR -E” materials & methods Data analytics: 3. Insight courtesy of Mahesh Nagarajan Sauder module # 3 Basic process analysis: Variability, Capacity, Flow time Limited Capacity System Reduce Input 5% Increase flow 35% Outliers have been removed Elective cases
  • 14. “B – SOR - E” What did we learn? Safe Assumption: ‘Some orthopaedic surgeons are faster than others’  Average time per ER case: 116 min  Dr. Red 199 170% 268 min.  Dr. Orange 140  Dr. Yellow 131  Dr. Green 99  Dr. Blue 95  Dr. Indigo 81  Dr. Violet 69 59% 56 min.  Average = 116 minutes We learned to mix fast and slow surgeons (reduced variability = improved flow)
  • 15. “B – SOR - E” Average time taken to perform hip hemi-arthoplasty (minutes) Average time = 116 minutes 268 min.
  • 16. “B – SOR - E” Reducing overall variability by mixing surgical work types “surgical smoothing” (mixing fast with slow) T (Hrs) Average time Hemi A Tibia Femur What can HA do with the data?
  • 17. “B – SOR - E” What did we learn? New Metrics Case activity : Call ratio Analytics + Theory = Power to “adjust” Here’s a practical example………. Adjustments for procedure time • (Mix fast surgeons with slow surgeons) Adjustments for case activity rate • (Mix more active surgeons with less active surgeons) Adjustments for weekend / weekday activity • (Mix more active surgeons with less active surgeons)
  • 18. “B – SOR – E’” (New & Old) Ready? 1. Implementation phase 2. Funding 3. Consent from IHA-SET 4. Single site pilot