Abstract

The significance of Big Data Analytics (BDA) has long been acknowledged by academics exploring Healthcare Information Systems (HIS). This paper aims to analyze and categorize the literature linking BDA to HIS research. From the Web of Science (WoS) database, the bibliometric data of BDA on HIS scholarly papers published between 1999 and 2022 were obtained, processed and analysed using VOS viewer. Based on the analysis of 266 publications, the study provides a summary of the impact of BDA on HIS research from the perspectives of (1) the number of publications and citations; (2) the top 10 papers with the highest co-citation indicating their essential impact on past and present; and (3) the top 15 keywords in the co-occurrence of keywords analysis with the highest co-occurrence keywords being big data (115 occurrences), artificial intelligence (111 occurrences), and the internet (20 occurrences). This paper also depicts the co-word analysis network topology, with four clusters of literature relating to BDA and HIS identified. The publications on BDA in HIS research were examined using a bibliometric analytic method, as this study is the first attempt at doing so—to the best of the author’s knowledge.

Keywords: Big Data Analytics (BDA), Healthcare Information Systems (HIS), Bibliometric, VOSviewer, Overview