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Table 3 Expected outcomes of optimal blueprints for criteria-based appointment scheduling

From: Criteria-based outpatient scheduling at a nephrology clinic: prospective evaluation of patient pre-assessment and its corresponding adaptive scheduling strategy

 

Current populationa

Pre-assessed population

Demand increase

0%

0%

10%

20%

30%

40%

Overtime

 Fraction of OC with OT

28.0%

21.0%

22.8%

28.9%

32.0%

39.1%

 Timeb, mean\(\pm \sigma\)

2.98 ±2.41

2.26 ±1.65

2.75 ±2.16

3.35 ±2.67

4.38 ±3.36

5.11 ±3.97

Idle time

 Fraction of OC with IT

34.9%

26.8%

27.8%

22.1%

21.8%

15.7%

 Timeb, mean\(\pm \sigma\)

2.91 ±1.87

2.51 ±1.44

2.71 ±1.69

2.39 ±1.57

2.44 ±1.56

1.99 ±1.17

Number of slots

 Regular time slots

102

94

101

103

108

108

  1. athese outcomes represent the current population scheduled in an advanced access setting (i.e., access in the week of arrival) - which does not represent the current way of in-advance scheduling in the department bovertime and idle time are presented in number of time slots