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Table 6 Simulation of the prediction models for 2019 according to main clinical diagnosis groups

From: Neural networks and hospital length of stay: an application to support healthcare management with national benchmarks and thresholds

Diagnosis

Number of hospitalizations

LOS (case study)a

LOS (national benchmark)a

LOS (with ANNs support)a

Additional days

Additional hospitalizations

Unspecified congestive heart failure (code 4280)

302

10.025

9.223

7.649

718

94

Left heart failure (code 4281)

223

9.494

8.658

6.879

583

85

Unspecified heart failure (code 4289)

27

9.775

9.321

7.250

68

9

Total (heart failure)

581

9.669

8.937

7.195

1437

200

Unspecified bacterial pneumonia (code 4829)

136

10.303

10.846

8.502

245

29

Unspecified bronchopneumonia (code 485)

151

10.952

10.801

8.470

375

44

Pneumonia, unspecified agent (code 486)

127

8.881

10.205

7.420

186

25

Total (pneumonia)

523

10.407

10.812

8.377

1062

127

Streptococcal (code 0380)

30

14.731

14.571

12.223

75

6

Unspecified staphylococcus (code 03810)

3

6.061

13.316

6.061

0

0

Staphylococcus aureus (code 03811)

41

22.161

14.798

14.163

328

23

Other staphylococci (code 03819)

19

20.266

14.432

13.326

132

10

Pneumococcal (code 0382)

9

19.385

14.323

15.122

38

3

Anaerobic (code 0383)

4

18.331

16.353

13.069

21

2

Unspecified gram-negative bacteria (code 03840)

21

15.551

13.316

10.903

98

9

Escherichia coli (code 03842)

148

12.566

13.542

10.819

258

24

Pseudomonas (code 03843)

26

13.586

14.297

12.407

31

2

Other gram-negative microorganisms (code 03849)

36

17.167

14.666

14.137

109

8

Other sepsis (code 0388)

19

14.751

13.956

11.783

56

5

Unspecified sepsis (code 0389)

119

13.609

13.699

11.636

235

20

Total (sepsis)

475

14.861

13.960

11.952

1382

116

  1. aAverage number of days