Accuracy and efficiency of computer-aided nursing diagnosis.
OBJECTIVE
This study aims to determine whether a computer-aided nursing (CAN) diagnosis system improves diagnostic accuracy and efficiency.


METHODS
A randomized crossover trial was performed using two kinds of case studies with 42 nurses as subjects. The subjects were divided into a group using the CAN diagnosis system and a group using a handbook of nursing diagnosis. Degree of accuracy was judged by using Lunney's seven-point interval scale, while efficiency was evaluated by time required for diagnosis.


RESULTS
There was no significant difference between the two groups in terms of diagnostic accuracy; however, time required for diagnosis was significantly shorter for subjects who used the CAN diagnosis system than for those who did not. Multiple regression analysis showed that the use of the CAN diagnosis system was the only factor associated with the time required for making the nursing diagnosis.


CONCLUSIONS
The use of the CAN diagnosis system improved the efficiency of the diagnostic process without reducing the level of accuracy of nursing diagnoses.


CONCLUSIONS
The use of a computerized system should be a useful tool for implementation of standardized nursing terminologies.
Kurashima
Sachiko
S
Department of Medical Informatics, Niigata University Medical and Dental Hospital, Niigata, Japan.
Kobayashi
Kuriko
K
Toyabe
Shin-ichi
S
Akazawa
Kouhei
K
D000328:Adult; D018592:Cross-Over Studies; D003936:Diagnosis, Computer-Assisted; D005260:Female; D006801:Humans; D008297:Male; D009733:Nursing Diagnosis; D015203:Reproducibility of Results