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Nurse call data analysis using Bayesian network modeling

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4 Author(s)
Shingo Aoki ; Department of Computer Science and Intelligent Systems, Osaka Prefecture University, Japan ; Masakazu Shiba ; Yukie Majima ; Yasuko Maekawa

This paper considers and suggests efficient patrol of nurses from analysis result of nurse calls log. As the method of analysis, we consider applying Bayesian network. This is one of probability model that is available for prospects of a phenomenon, rational mind decision and so on. In conventional studies, correlation coefficient was used to examine relation between phenomena. However, we could analyze in detail by using Bayesian network because we didn't overlook the information that may overlook by using correlation coefficient. Applying the proposed method to total 5,478 nurse call data, we have obtained following knowledge: (a) some reasons of nurse call are inferred by situation of patient and demand level of nurse call, (b) an efficient patrol of nurse can be devised, and (c) Bayesian network didn't overlook the information compared with conventional method.

Published in:

Aware Computing (ISAC), 2010 2nd International Symposium on

Date of Conference:

1-4 Nov. 2010