2016/06/04 by Mohammad Ahmad Alkhatib, Alkhatib, Mohammad, Amir Talaei‐Khoei +3
Business, Management and Accounting · Health Professions · #Artificial Intelligence in Healthcare #Big Data and Business Intelligence #Computers and Society (cs.CY) #FOS: Computer and information sciences
paper · pdf · doi:10.48550/arxiv.1606.01354
openalex publication_date 2016/06/04 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
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.