{"title":"BIG DATA ANALYTICS & ARTIFICIAL INTELLIGENCE IN MANAGEMENT OF HEALTHCARE: IMPACTS & CURRENT STATE","authors":"M. Sazu, S. Jahan","doi":"10.54989/msd-2022-0006","DOIUrl":null,"url":null,"abstract":"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.","PeriodicalId":45381,"journal":{"name":"World Journal of Entrepreneurship Management and Sustainable Development","volume":"2 1","pages":""},"PeriodicalIF":1.7000,"publicationDate":"2022-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"World Journal of Entrepreneurship Management and Sustainable Development","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.54989/msd-2022-0006","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"MANAGEMENT","Score":null,"Total":0}
引用次数: 5
Abstract
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.