Big data analytics in healthcare: a systematic literature review

被引：104
|
作者：
Khanra, Sayantan [1 ,2 ]
Dhir, Amandeep [3 ,4 ,5 ]
Islam, Najmul [6 ]
Mantymaki, Matti [1 ]
机构：
[1] Univ Turku, Turku Sch Econ, Turku, Finland
[2] Woxsen Univ, Sch Business, Hyderabad, India
[3] LUT Univ, Sch Business & Management, Lappeenranta, Finland
[4] Univ Agder, Sch Business & Law, Dept Management, Kristiansand, Norway
[5] North West Univ, Optentia Res Focus Area, Vanderbijlpark, South Africa
[6] Univ Turku, Dept Future Technol, Turku, Finland
来源：
ENTERPRISE INFORMATION SYSTEMS | 2020年 / 14卷 / 07期
基金：
芬兰科学院;
关键词：
Big data; analytics; big data analytics; healthcare; hospital management; medical informatics; personalised patient care; systematic literature review; Covid-19; PREDICTIVE ANALYTICS; FRAMEWORK; INFORMATION; SERVICES; TRANSFORMATION; SURVEILLANCE; EVOLUTION; FUTURE;
D O I：
10.1080/17517575.2020.1812005
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
The current study performs a systematic literature review (SLR) to synthesise prior research on the applicability of big data analytics (BDA) in healthcare. The SLR examines the outcomes of 41 studies, and presents them in a comprehensive framework. The findings from this study suggest that applications of BDA in healthcare can be observed from five perspectives, namely, health awareness among the general public, interactions among stakeholders in the healthcare ecosystem, hospital management practices, treatment of specific medical conditions, and technology in healthcare service delivery. This SLR recommends actionable future research agendas for scholars and valuable implications for theory and practice.
引用
收藏
页码：878 / 912
页数：35
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