A New Scenario-Based Simulation Model for Cost Management of Healthcare Services through Improving the Efficiency of the Health Centers
Table 11
Differences resulted from application of the changes derived from the selected technicians’ scheduling scenario (A) and controlling the patient cancellation factors (B) compared to the current state.
Performance indexes
Change
Saturday
Sunday
Monday
Tuesday
Wednesday
Thursday
Average number of discharged patients
A
0
0.08
0.4
0.08
0.28
0
B
2.04
1.64
2.04
2.28
2.84
0.56
Average number of cancelled patients per day
A
0
−0.12
−0.12
0.2
−0.16
0
B
−1.72
−1.48
−1.48
−1.32
−1.76
−0.88
Average waiting time in the system
A
0
−216.56
−66.54
154.28
191.84
0
B
1632.33
1425.71
1833.78
2094.49
1478.31
279.06
Average time spent in the system
A
0
−275.27
−121.72
177.98
254.16
0
B
1966.88
1614.14
1987.62
2400.35
1743.71
332.04
Anesthesiologist utilization rate
A
0
0.003394
0.004727
−0.00081
0.000165
0
B
0.009156
0.00836
0.021505
0.010074
0.020701
0.005053
Bed utilization rate
A
0
0.003165
0.009442
0.00053
−0.00165
0
B
0.011185
0.012153
0.036968
0.023458
0.030167
0.013551
Technician utilization rate of shift 1
A
0
−0.00425
0.001259
0.0028
0.002216
0
B
0.003293
0.002862
0.022756
0.01843
0.016891
0.004025
Technician utilization rate of shift 2
A
0.005548
0.002941
−0.0016
−0.00012
B
0.008738
0.003344
−0.00223
0.010209
The end of system’s service provision average time
