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. 2022 May 6;10(5):e35061. doi: 10.2196/35061

Table 5.

Computerized clinical decision support characteristics in neonatal studies.

CCDSa characteristics Number of studies by publication Totalb

Journal articles Conference abstracts
Subtotal, n 14 4 18
Type of sepsis, n (%)

Early-onset sepsis 12 (86) 3 (75) 15 (83)

Late-onset sepsis 1 (7) 0 (0) 1 (6)

Sepsis 1 (7) 1 (25) 2 (11)
General CCDS criteria, n (%)

Kaiser Permanente early-onset sepsis risk [89] 12 (86) 2 (50) 14 (78)

Epic Monitor [65] 1 (7) 1 (25) 2 (11)

RALIS [69] 1 (7) 0 (0) 1 (6)

Not specified 0 (0) 1 (25) 1 (6)
Silent or livec, n (%)

Live 12 (86) 4 (100) 16 (89)

Silent 1 (7) 0 (0) 1 (6)

Both (pre or post) 1 (7) 0 (0) 1 (6)
Related interventions, n (%)

Education and information resources 8 (57) 1 (25) 9 (50)

None 4 (29) 3 (75) 7 (39)

Sepsis protocol 4 (29) 0 (0) 4 (22)

Order sets 2 (14) 0 (0) 2 (11)

Other 5 (36) 1 (25) 6 (33)
Responding personnel, n (%)

Nurses 4 (29) 1 (25) 5 (28)

Other clinicians 10 (71) 0 (0) 10 (56)

Paramedics 1 (7) 1 (25) 2 (11)

Not specified 2 (14) 2 (50) 4 (22)
Alert delivery, n (%)

Calculated by personnel 10 (71) 3 (75) 13 (72)

Other 2 (14) 0 (0) 2 (11)

Not specified 2 (14) 1 (25) 3 (17)

aCCDS: computerized clinical decision support.

bThe percentages were calculated from the number of neonatal studies (n=18). As some studies have reported multiple characteristics for each category, there were more than 18 characteristics, therefore, the percentages add to more than 100%.

cA live CCDS system is a system that is implemented and being used by clinicians in real time during the study. Silent systems are systems that have been implemented but do not alert clinicians during the study and thus do not influence treatment.