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Using optimization to minimize 
NURSING CARE 
w a i t l i s t t i m e 
By Nor Hameed, Merisa Lee, Masa Shaban & Yahya Wahbeh
PROBLEM 
Between 2005 and 2012, the median wait 
time for people trying to get into an 
Ontario nursing home almost tripled  
from 36 to 98 days. 
15% of people on nursing home wait lists 
die before they can be placed.
Projected number of Canadians over 65 in percentage 
Life expectancy is steadily increasing due to improved health 
services and the retirement of baby boomers.
DEMAND IS GOING UP FAST 
Whereas supply is going up a mere 3%
HOW DO WE FIX THIS?
Basic Deluxe Private 
Licensed 
Beds 
# on 
Waitlist 
Average 
days 
waiting 
# on 
Waitlist 
Average days 
waiting 
# on 
Waitlist 
Average days 
waiting 
Cambridge 
Country Manor 
79 6 55 0 34 0 26 
Chateau 
Gardens Elmira 
48 14 151 14 102 28 199 
Columbia 
Forest Centre 
156 79 672 0 0 79 580 
Derbeckers 
Heritage House 
72 21 536 13 138 26 0 
Fairview 
Mennonite 
Home 
84 121 1352 0 0 70 1079
22 elderly homes in four different cities within KW region
Elmira 
(3) 
Cambridge 
(8) 
Waterloo 
(3) 
Kitchener 
(8) 
Split into 4 different clusters based on location
Basic Deluxe Private 
Cluster 
Total # 
available 
beds 
# waiting 
Average 
waiting 
time 
# waiting 
Average 
waiting 
time 
# waiting 
Average 
waiting 
time 
Cambridge 336 486 917 29 190 180 591 
Kitchener 468 1178 917 85 331 912 679 
Waterloo 108 268 677 2 168 311 1305 
Elmira 60 36 357 12 127 12 171
Objective function: 
Minimize waiting time 
subject to: 
0<xT<0.4*total capacity 
xB*cB + xD*cD + xP*cP <xT 
cB + cD + cP = 1 
2 
=0 
 
=0 
訣
XT 
1 AB0 
M1 M2 
W0 
DW0 
D0 0 
AB1 
W1 
DW1 
D1 
M0 
ABi = average of available beds at year i 
Wi = average number of waiting days at year i 
DWi = average days waiting per patient at year i 
Di = demand at year i 
Mi = mortality at year i 
2
What percentage for new capacity added 
should we allocate each bed type? 
? ? ? 
Demand Capacity 
xB 
xD xP 
xB 
xD 
xP
Demand Mortality
Thank you!

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Msci 332 presentation - Minimizing Elderly Care Wait list Time

  • 1. Using optimization to minimize NURSING CARE w a i t l i s t t i m e By Nor Hameed, Merisa Lee, Masa Shaban & Yahya Wahbeh
  • 2. PROBLEM Between 2005 and 2012, the median wait time for people trying to get into an Ontario nursing home almost tripled from 36 to 98 days. 15% of people on nursing home wait lists die before they can be placed.
  • 3. Projected number of Canadians over 65 in percentage Life expectancy is steadily increasing due to improved health services and the retirement of baby boomers.
  • 4. DEMAND IS GOING UP FAST Whereas supply is going up a mere 3%
  • 5. HOW DO WE FIX THIS?
  • 6. Basic Deluxe Private Licensed Beds # on Waitlist Average days waiting # on Waitlist Average days waiting # on Waitlist Average days waiting Cambridge Country Manor 79 6 55 0 34 0 26 Chateau Gardens Elmira 48 14 151 14 102 28 199 Columbia Forest Centre 156 79 672 0 0 79 580 Derbeckers Heritage House 72 21 536 13 138 26 0 Fairview Mennonite Home 84 121 1352 0 0 70 1079
  • 7. 22 elderly homes in four different cities within KW region
  • 8. Elmira (3) Cambridge (8) Waterloo (3) Kitchener (8) Split into 4 different clusters based on location
  • 9. Basic Deluxe Private Cluster Total # available beds # waiting Average waiting time # waiting Average waiting time # waiting Average waiting time Cambridge 336 486 917 29 190 180 591 Kitchener 468 1178 917 85 331 912 679 Waterloo 108 268 677 2 168 311 1305 Elmira 60 36 357 12 127 12 171
  • 10. Objective function: Minimize waiting time subject to: 0<xT<0.4*total capacity xB*cB + xD*cD + xP*cP <xT cB + cD + cP = 1 2 =0 =0 訣
  • 11. XT 1 AB0 M1 M2 W0 DW0 D0 0 AB1 W1 DW1 D1 M0 ABi = average of available beds at year i Wi = average number of waiting days at year i DWi = average days waiting per patient at year i Di = demand at year i Mi = mortality at year i 2
  • 12. What percentage for new capacity added should we allocate each bed type? ? ? ? Demand Capacity xB xD xP xB xD xP