BIG DATA ANALYTICS & ARTIFICIAL INTELLIGENCE IN MANAGEMENT OF HEALTHCARE: IMPACTS & CURRENT STATE

Background: Healthcare is a very complex area that is ingesting data at an unprecedented speed. Within the health care industry, there’s an abundance of data; data from physicians and hospitals, medical research, medical insurance, medical equipment as well as life sciences keep flowing at a high ra...

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Bibliographic Details
Main Authors: SAZU Mesbaul Haque, JAHAN Sakila Akter
Format: Article
Language:English
Published: Lucian Blaga University of Sibiu 2022-06-01
Series:Management of Sustainable Development
Subjects:
Online Access:https://msdjournal.org/wp-content/uploads/vol14issue1-6.pdf
Description
Summary:Background: Healthcare is a very complex area that is ingesting data at an unprecedented speed. Within the health care industry, there’s an abundance of data; data from physicians and hospitals, medical research, medical insurance, medical equipment as well as life sciences keep flowing at a high rate. The improvement of technologies opens doors to huge possibilities for using the data found in health care for transforming the management of healthcare. Research gap: A lot of research have been conducted to study the significance of data analytics in general healthcare, but there’s a gap to research the importance of data analytics in the field of healthcare management as well as its current state of development. Novelty: The study, through employing structural mapping, focuses on evaluating the available research to offer proof that will encourage further application of data analytics in the healthcare field. Methodology: An organized structural mapping analysis of 1241 studies was carried out to identify as well as evaluate the application of Big Data Analytics and Artificial Intelligence in healthcare. Future scope: This study is going to identify the areas which need further study for the use of data analytics in healthcare. This study will likely provide a potential base for future researchers to conduct further research.
ISSN:2066-9380
2247-0220