Analysis of Research in Healthcare Data Analytics
Mohammad Alkhatib, Amir Talaei-Khoei, Amir Ghapanchi

TL;DR
This paper systematically reviews healthcare data analytics research, highlighting key tools, techniques, and gaps in the field, with insights into publication trends and geographical distribution of studies.
Contribution
It provides a comprehensive analysis of existing research, identifying trends, tools, and gaps in healthcare data analytics through a systematic review of multiple databases.
Findings
Identified popular data analytics tools and techniques used in healthcare.
Highlighted research trends and publication demographics.
Outlined challenges and issues in healthcare data analytics.
Abstract
The main aim of this paper is to provide a deep analysis on the research field of healthcare data analytics. This paper is analyzing the previous studies and works in this research area, as well as highlighting some of guidelines and gaps. This study has used seven popular databases and selected most relevant papers, in order to conduct this paper. The paper has listed some data analytics tools and techniques that have been used to improve healthcare performance in many areas such as: medical operations, reports, decision making, and prediction and prevention system. Moreover, the systematic review has showed an interesting demographic of fields of publication, research approaches, as well as outlined some of the possible reasons and issues associated with healthcare data analytics, based on geographical distribution theme.
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Taxonomy
TopicsArtificial Intelligence in Healthcare · Big Data and Business Intelligence
