Paper Info
Title
Measuring Improvement in Access to Complete Data in Healthcare Collaborative Database Systems.
Abstract
Accessing complete data is crucial especially in healthcare domain. Nevertheless, within multi data providers context, accessing complete data is a challenge because not only data must be collected and integrated, we must also seek collaborative effort among the data providers. In this paper, we present the result of implementing a framework called as Collaborative Integrated Database System (COLLIDS) in terms of the degree of improvement in accessing complete data it offers for data providers. Our experiment is based on real healthcare data sets taken from a collaborative system in Malaysia where the population-based completeness (PBC) is adopted as a measure. The results that are evaluated using Wilcoxon Sign Rank Test show that COLLIDS is of benefit for most data providers as increment of more than 50% data completeness can be observed in the results set. We conclude with the cases where COLLIDS will be worth (and not worth) to be implemented based on the characteristic of data providers that participate in the collaborative system.
Year
DOI
Venue
2017
10.1007/978-3-319-56660-3_11
ADVANCED TOPICS IN INTELLIGENT INFORMATION AND DATABASE SYSTEMS
Keywords
Field
DocType
Data completeness,Population,based completeness,Collaborative systems,Wilcoxon sign rank test,Healthcare
Health care,Population,Data mining,Data set,Collaboration,Computer science,Wilcoxon signed-rank test,Completeness (statistics),Database
Conference
Volume
ISSN
Citations 
710
1860-949X
0
PageRank 
References 
Authors
0.34
4
3
Name
Order
Citations
PageRank
Nurul A. Emran111.73
Fathin N. M. Leza200.34
Noraswaliza Abdullah3193.94