Table 2 System performance metrics under different scenarios

From: A simulation framework for evaluating electronic order workflows in integrated health records

Metric

max_capacity baseline

max_capacity arrival_+20%

2000_capacity baseline

2000_capacity arrival_+20%

1000_capacity baseline

1000_capacity arrival_+20%

Total Generated Order #

106,262

127,269

106,007

126,013

103,245

124,798

Ended Order #

100,586

121,023

100,573

116,225

82,689

95,093

Ready Trans. Ratio

109.44%

109.53%

109.57%

109.68%

109.32%

108.91%

Reserved Trans. Ratio

67.23%

67.40%

67.52%

67.75%

59.78%

52.90%

InProgress Trans. Ratio

45.95%

46.39%

46.11%

43.68%

30.34%

25.40%

Completed Trans. Ratio

74.84%

75.37%

74.97%

72.39%

60.75%

57.43%

Failed Trans. Ratio

0.45%

0.47%

0.44%

0.40%

0.36%

0.34%

Exited Trans. Ratio

11.49%

11.54%

11.59%

11.53%

11.06%

10.68%

Error Trans. Ratio

9.02%

9.04%

9.01%

9.12%

8.98%

8.88%

Avg. Number-in-System

5007.97

6052.28

5016.01

7538.15

11,479.63

15,986.88

InProgress Queue Mean (h)

0.00

0.00

0.00

0.00

2804.46

6420.90

Completed Queue Mean (h)

0.00

0.00

1.02

1714.91

4758.50

5340.15

  1. Summary of simulation-derived metrics, including transition ratios, average number-in-system (L), and queue waiting times. Transition ratios are computed as the number of occurrences of leaving each state divided by total orders, and it can exceed 1 due to loop back transitions.