Big Data Capabilities for Hospital: A Systematic Literature Review

Abstract

The use of Big Data (BD) is considered to have the potential to provide significant benefits for hospitals because it can improve hospital services and can save treatment costs. This study aims to identify the effects of using BD Analytics (BDA) in improving hospital performance, including the key factors to determine the effectiveness of BD in improving the effectiveness of hospital performance, the data sources needed, the utilization of BD in improving patient satisfaction, and the challenges that can hinder the use of BD as the factors to determine the capabilities of BD. Implementing the PRISMA concept to conduct a Systematic Literature Review (SLR) of relevant literature by identifying the selection of relevant data sources, determining inclusion and exclusion indicators, extracting data from selected papers, evaluating the quality of the papers, and analyzing data using the meta-analysis method. Through this process, the authors examined 111 papers from various database sources and found 24 papers for further research. The results of this study indicate that from 24 papers, the data source to conduct data analysis is the main key factor to determine the capabilities of BD for hospitals which affect the further analysis of BDA. It was also found that several challenges hindering the use of BD need to be overcome to maximize the use of BD. However, there were limitations in the data sources used in the study. Therefore, it is necessary to review policies and infrastructure and utilize more varied data sources to maximize the use of BD and decision support systems in hospitals.