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Table 2 Prescription items before and after applying the CIPS algorithm

From: Chinese Intelligence Prescription System improves prescription accuracy while decreasing labor and drug costs

Prescription items (original)

(A)

Number of dispensed items

(B)

Prescription items (after calculation)

(C)

Prescription items reduced (difference)

(D)

p-value

(E)

95% CI

(F)

Percentage of reduction

(G)

1

5

1

0

-

-

0

2

17

1.94 ± 0.24

0.06 ± 0.24

3.17E-01

(-0.06, 0.18)

2.94 ± 12.13

3

52

2.9 ± 0.3

0.1 ± 0.3

1.98E-02

(0.02, 0.18)

3.17 ± 9.82

4

81

3.72 ± 0.53

0.28 ± 0.53

8.51E-06

(0.16, 0.4)

7.1 ± 13.25

5

108

4.58 ± 0.61

0.42 ± 0.61

1.05E-10

(0.3, 0.54)

8.33 ± 12.27

6

129

5.52 ± 0.72

0.48 ± 0.72

6.22E-12

(0.35, 0.61)

8.05 ± 11.97

7

171

6.4 ± 0.72

0.6 ± 0.72

2.47E-21

(0.49, 0.71)

8.53 ± 10.24

8

140

7.2 ± 0.9

0.8 ± 0.9

2.00E-19

(0.65, 0.95)

10.21 ± 11.35

9

108

7.9 ± 1.13

1.1 ± 1.13

2.53E-17

(0.88, 1.32)

12.12 ± 12.4

10

89

8.9 ± 1.07

1.1 ± 1.07

1.34E-15

(0.87, 1.33)

11.01 ± 10.66

11

80

9.64 ± 1.14

1.36 ± 1.14

4.85E-17

(1.11, 1.61)

12.26 ± 10.25

12

43

10.42 ± 1.35

1.58 ± 1.35

1.38E-09

(1.16, 2.00)

13.21 ± 11.33

13

19

11.79 ± 1.18

1.21 ± 1.18

2.63E-04

(0.64, 1.78)

9.37 ± 9.05

14

22

12.64 ± 1.22

1.36 ± 1.22

3.03E-05

(0.82, 1.9)

9.55 ± 8.52

15

17

13.71 ± 1.21

1.29 ± 1.21

3.95E-04

(0.67, 1.91)

8.59 ± 8.05

16

16

14 ± 1.26

2 ± 1.26

9.65E-06

(1.33, 2.67)

12.63 ± 8.02

17

16

15.5 ± 1.26

1.5 ± 1.26

2.12E-04

(0.83, 2.17)

9 ± 7.59

18

18

16 ± 1.03

2 ± 1.03

1.61E-07

(1.49, 2.51)

11.28 ± 5.78

19

13

17.31 ± 1.55

1.69 ± 1.55

1.72E-03

(0.75, 2.63)

8.92 ± 8.22

20

4

18.25 ± 1.26

1.75 ± 1.26

4.99E-02

(-0.25, 3.75)

8.75 ± 6.29

8.19 ± 3.65

1148

7.37 ± 3.34

0.82 ± 1.01

2.46E-08

(0.76, 0.88)

9.31 ± 11.27