Paper Info
Title
Data Mining-Based Service Quality Estimation in Hospital Information System
Abstract
Hospital information has become an intelligence infrastructure in large-scale hospitals, and incremental software development is important for improving service quality. This paper introduces statistical estimation of service log to measure the differences between responsive time before and after a new interface has been introduced. The results show that even simple statistical methods can compare the system performance due to the sample size of service log.
Year
DOI
Venue
2014
10.1109/ICDMW.2014.162
Data Mining Workshop
Keywords
DocType
Citations 
data mining,hospitals,medical information systems,software quality,statistical analysis,data mining,hospital information system,incremental software development,intelligence infrastructure,service log statistical estimation,service quality,service quality estimation,Hospital Information System,Quality Management,Service Computing
Conference
0
PageRank 
References 
Authors
0.34
9
3
Name
Order
Citations
PageRank
Toshihiko Kawamura100.34
Tomohiro Kimura215.76
Shusaku Tsumoto31820294.19