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.