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Table 5 Effect of surgical volume on wait times (minutes) according to urgency classification

From: How many operating rooms are needed to manage non-elective surgical cases? A Monte Carlo simulation study

  

4, 2 (n = 4)

4, 2, +5 % (n = 4)

4, 2, +10 % (n = 4)

Emergent

Mean

29 ± 1

34 ± 1

39 ± 1

 

Median

0 ± 0

0 ± 0

2 ± 1

 

95th %ile

144 ± 3

157 ± 4

170 ± 5

Urgent1

Mean

44 ± 1

52 ± 1

59 ± 1

 

Median

0 ± 0

0 ± 0

2 ± 1

 

95th %ile

227 ± 9

254 ± 3

275 ± 6

Urgent2

Mean

138 ± 4

158 ± 7

173 ± 2

 

Median

41 ± 2

62 ± 4

80 ± 4

 

95th %ile

480 ± 7

534 ± 22

589 ± 11

Urgent3

Mean

159 ± 3

184 ± 11

222 ± 10

 

Median

44 ± 6

58 ± 10

79 ± 12

 

95th %ile

592 ± 20

705 ± 20

822 ± 27

Add-on Elect

Mean

194 ± 6

241 ± 26

301 ± 18

 

Median

45 ± 3

81 ± 12

122 ± 8

 

95th %ile

764 ± 57

937 ± 78

1233 ± 119

Utilization (%)

 

66.9 ± 0.2

70.2 ± 0.7

74.0 ± 0.1

  1. Data are Mean ± SD. The model assumes four operating rooms running during daytime (0600–2200; 16 h) and two ORs running at night time (2200–0600; 8 h). The model adds patients (5 % increased volume, middle column; 10 % increased volume, right column). The n in parentheses aside number of ORs refers to the number of simulation runs performed