Strategic issues of big data analytics applications for managing health-care sector : a systematic literature review and future research agenda
Purpose: The 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/approach: Fora 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. Findings: BD 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/implications: The 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/value: There 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.
Year of publication: |
2021
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Authors: | Singh, Rajesh Kumar ; Agrawal, Saurabh ; Sahu, Abhishek ; Kazancoglu, Yigit |
Published in: |
The TQM Journal. - Emerald, ISSN 1754-2731, ZDB-ID 2420151-0. - 2021 (03.04.)
|
Publisher: |
Emerald |
Saved in:
Online Resource
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