Strategic issues of big data analytics applications for managing health-care sector: a systematic literature review and future research agenda

被引:24
作者
Singh, Rajesh Kumar [1 ]
Agrawal, Saurabh [2 ]
Sahu, Abhishek [3 ]
Kazancoglu, Yigit [4 ]
机构
[1] Management Dev Inst, Gurgaon, India
[2] Delhi Technol Univ, Delhi Sch Management, Delhi, India
[3] Delhi Technol Univ, Dept Mech Prod & Ind Engn, Delhi, India
[4] Yasar Univ, Logist Management, Izmir, Turkiye
关键词
Big data; Big data analytics; Health-care analytics; Key challenges; SUPPLY CHAIN MANAGEMENT; INFORMATION-TECHNOLOGY CAPABILITY; PREDICTIVE ANALYTICS; DATA CHALLENGES; BUSINESS INTELLIGENCE; FIRM PERFORMANCE; PUBLIC-HEALTH; DATA SCIENCE; QUALITY; PRIVACY;
D O I
10.1108/TQM-02-2021-0051
中图分类号
C93 [管理学];
学科分类号
12 ; 1201 ; 1202 ; 120202 ;
摘要
PurposeThe proposed article is aimed at exploring the opportunities, challenges and possible outcomes of incorporating big data analytics (BDA) into health-care sector. The purpose of this study is to find the research gaps in the literature and to investigate the scope of incorporating new strategies in the health-care sector for increasing the efficiency of the system.Design/methodology/approachFora state-of-the-art literature review, a systematic literature review has been carried out to find out research gaps in the field of healthcare using big data (BD) applications. A detailed research methodology including material collection, descriptive analysis and categorization is utilized to carry out the literature review.FindingsBD analysis is rapidly being adopted in health-care sector for utilizing precious information available in terms of BD. However, it puts forth certain challenges that need to be focused upon. The article identifies and explains the challenges thoroughly.Research limitations/implicationsThe proposed study will provide useful guidance to the health-care sector professionals for managing health-care system. It will help academicians and physicians for evaluating, improving and benchmarking the health-care strategies through BDA in the health-care sector. One of the limitations of the study is that it is based on literature review and more in-depth studies may be carried out for the generalization of results.Originality/valueThere are certain effective tools available in the market today that are currently being used by both small and large businesses and corporations. One of them is BD, which may be very useful for health-care sector. A comprehensive literature review is carried out for research papers published between 1974 and 2021.
引用
收藏
页码:262 / 291
页数:30
相关论文
共 213 条
[51]   Can big data and predictive analytics improve social and environmental sustainability? [J].
Dubey, Rameshwar ;
Gunasekaran, Angappa ;
Childe, Stephen J. ;
Papadopoulos, Thanos ;
Luo, Zongwei ;
Wamba, Samuel Fosso ;
Roubaud, David .
TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE, 2019, 144 :534-545
[52]  
Dwivedi K, 2014, 2014 5TH INTERNATIONAL CONFERENCE CONFLUENCE THE NEXT GENERATION INFORMATION TECHNOLOGY SUMMIT (CONFLUENCE), P174, DOI 10.1109/CONFLUENCE.2014.6949336
[53]  
Economist Intelligence Unit (EIU), 2019, WORLD IND OUTL HEALT
[54]   Large-scale machine learning based on functional networks for biomedical big data with high performance computing platforms [J].
Elsebakhi, Emad ;
Lee, Frank ;
Schendel, Eric ;
Haque, Anwar ;
Kathireason, Nagarajan ;
Pathare, Tushar ;
Syed, Najeeb ;
Al-Ali, Rashid .
JOURNAL OF COMPUTATIONAL SCIENCE, 2015, 11 :69-81
[55]   Dermatologist-level classification of skin cancer with deep neural networks [J].
Esteva, Andre ;
Kuprel, Brett ;
Novoa, Roberto A. ;
Ko, Justin ;
Swetter, Susan M. ;
Blau, Helen M. ;
Thrun, Sebastian .
NATURE, 2017, 542 (7639) :115-+
[56]  
European Public Health Alliance, 2017, HLTH CAR DIG SINGL M
[57]   Scaling and contextualizing personalized healthcare: A case study of disease prediction algorithm integration [J].
Feldman, Keith ;
Davis, Darcy ;
Chawla, Nitesh V. .
JOURNAL OF BIOMEDICAL INFORMATICS, 2015, 57 :377-385
[58]   Bridging the gap: leveraging business intelligence tools in support of patient safety and financial effectiveness [J].
Ferranti, Jeffrey M. ;
Langman, Matthew K. ;
Tanaka, David ;
McCall, Jonathan ;
Ahmad, Asif .
JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION, 2010, 17 (02) :136-143
[59]   Insights From Advanced Analytics At The Veterans Health Administration [J].
Fihn, Stephan D. ;
Francis, Joseph ;
Clancy, Carolyn ;
Nielson, Christopher ;
Nelson, Karin ;
Rumsfeld, John ;
Cullen, Theresa ;
Bates, Jack ;
Graham, Gail L. .
HEALTH AFFAIRS, 2014, 33 (07) :1203-1211
[60]  
Filkins BL, 2016, AM J TRANSL RES, V8, P1560