Big Data for Healthcare Industry 4.0: Applications, challenges and future perspectives

被引:133
作者
Karatas, Mumtaz [1 ]
Eriskin, Levent [1 ]
Deveci, Muhammet [1 ,2 ]
Pamucar, Dragan [3 ]
Garg, Harish [4 ]
机构
[1] Natl Def Univ, Turkish Naval Acad, Dept Ind Engn, TR-34940 Istanbul, Turkey
[2] Imperial Coll London, Royal Sch Mines, South Kensington Campus, London SW7 2AZ, England
[3] Univ Def Belgrade, Mil Acad, Dept Logist, Belgrade 11000, Serbia
[4] Thapar Inst Engn & Technol Deemed Univ Patiala, Sch Math, Patiala 147004, Punjab, India
关键词
Big Data; Industry; 4; 0; Healthcare; Machine Learning; Internet of Things; DATA ANALYTICS; SYSTEM; IOT; INTERNET; PRIVACY; THINGS; QUALITY; TECHNOLOGIES; ARCHITECTURE; INTEGRATION;
D O I
10.1016/j.eswa.2022.116912
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
The innovative technologies emerged with the industrial revolution ''Industry 4.0" as well as the new ones onthe way of advanced digitalization enable delivering enhanced, value-added and cost-effective manufacturingand service operations. One of the first areas of focus for Industry 4.0 applications is operations related tohealthcare services. Effective management of healthcare resources, clinical care processes, service planning,delivery and evaluation of healthcare operations are essential for a well-functioning healthcare system. Yet,with the adoption of technologies such as Internet of Health Things, Medical Cyber-Physical Systems, MachineLearning, and Big Data (BD), the healthcare sector has recognized the relevance of Industry 4.0. The conceptof BD offered numerous advantages and opportunities in this field. It changed the way information is gathered,shared and utilized. Hence, in this study our main ambition is to provide readers with a review of publicationswhich lie within the intersection of Industry 4.0, BD, and healthcare operations and give future perspectives.Our review shows that BD constitutes an important place on the technologies Industry 4.0 provides in thehealthcare domain. It helps design, improve, analyze, assess and optimize operations in the domain.
引用
收藏
页数:15
相关论文
共 120 条
[81]   Social Medical Capital: How Patients and Caregivers Can Benefit From Online Social Interactions [J].
Panzarasa, Pietro ;
Griffiths, Christopher J. ;
Sastry, Nishanth ;
De Simoni, Anna .
JOURNAL OF MEDICAL INTERNET RESEARCH, 2020, 22 (07)
[82]   Big data in education and the models that love them [J].
Pardos, Zachary A. .
CURRENT OPINION IN BEHAVIORAL SCIENCES, 2017, 18 :107-113
[83]   Big Data Analysis of Sports and Physical Activities among Korean Adolescents [J].
Park, Sung-Un ;
Ahn, Hyunkyun ;
Kim, Dong-Kyu ;
So, Wi-Young .
INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH, 2020, 17 (15) :1-11
[84]   Paradigm Shift Toward Digital Neuropsychology and High-Dimensional Neuropsychological Assessments: Review [J].
Parsons, Thomas ;
Duffield, Tyler .
JOURNAL OF MEDICAL INTERNET RESEARCH, 2020, 22 (12)
[85]  
Pelekis N, 2012, P 15 INT C EXT DAT T, P598
[86]  
Pellakuri V., 2021, MATER TODAY-PROC, DOI [10.1016/j.matpr.2020.10.066, DOI 10.1016/J.MATPR.2020.10.066]
[87]  
Pham Q.V., 2020, Policy Options
[88]  
Polak-Sopinska A., 2019, International Conference on Applied Human Factors and Ergonomics, P40
[89]   Smart health: Big data enabled health paradigm within smart cities [J].
Pramanik, Md Ileas ;
Lau, Raymond Y. K. ;
Demirkan, Haluk ;
Azad, Md. Abul Kalam .
EXPERT SYSTEMS WITH APPLICATIONS, 2017, 87 :370-383
[90]   Privacy-preserving Publication of Mobility Data with High Utility [J].
Primault, Vincent ;
Ben Mokhtar, Sonia ;
Brunie, Lionel .
2015 IEEE 35TH INTERNATIONAL CONFERENCE ON DISTRIBUTED COMPUTING SYSTEMS, 2015, :802-803