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...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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Lucian Blaga University of Sibiu
2022-06-01
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| Series: | Management of Sustainable Development |
| Subjects: | |
| Online Access: | https://msdjournal.org/wp-content/uploads/vol14issue1-6.pdf |
| _version_ | 1818008498332499968 |
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| author | SAZU Mesbaul Haque JAHAN Sakila Akter |
| author_facet | SAZU Mesbaul Haque JAHAN Sakila Akter |
| author_sort | SAZU Mesbaul Haque |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-04-14T05:30:11Z |
| format | Article |
| id | doaj.art-694337bc6bb240279537922e72cd9690 |
| institution | Directory Open Access Journal |
| issn | 2066-9380 2247-0220 |
| language | English |
| last_indexed | 2024-04-14T05:30:11Z |
| publishDate | 2022-06-01 |
| publisher | Lucian Blaga University of Sibiu |
| record_format | Article |
| series | Management of Sustainable Development |
| spelling | doaj.art-694337bc6bb240279537922e72cd96902022-12-22T02:09:49ZengLucian Blaga University of SibiuManagement of Sustainable Development2066-93802247-02202022-06-011413642https://doi.org/10.54989/msd-2022-00061BIG DATA ANALYTICS & ARTIFICIAL INTELLIGENCE IN MANAGEMENT OF HEALTHCARE: IMPACTS & CURRENT STATESAZU Mesbaul Haque0JAHAN Sakila Akter1Case Western Reserve University, USAIndependent University, BangladeshBackground: 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.https://msdjournal.org/wp-content/uploads/vol14issue1-6.pdfmanagement, data analytics, artificial intelligence, healthcare, performance |
| spellingShingle | SAZU Mesbaul Haque JAHAN Sakila Akter BIG DATA ANALYTICS & ARTIFICIAL INTELLIGENCE IN MANAGEMENT OF HEALTHCARE: IMPACTS & CURRENT STATE Management of Sustainable Development management, data analytics, artificial intelligence, healthcare, performance |
| title | BIG DATA ANALYTICS & ARTIFICIAL INTELLIGENCE IN MANAGEMENT OF HEALTHCARE: IMPACTS & CURRENT STATE |
| title_full | BIG DATA ANALYTICS & ARTIFICIAL INTELLIGENCE IN MANAGEMENT OF HEALTHCARE: IMPACTS & CURRENT STATE |
| title_fullStr | BIG DATA ANALYTICS & ARTIFICIAL INTELLIGENCE IN MANAGEMENT OF HEALTHCARE: IMPACTS & CURRENT STATE |
| title_full_unstemmed | BIG DATA ANALYTICS & ARTIFICIAL INTELLIGENCE IN MANAGEMENT OF HEALTHCARE: IMPACTS & CURRENT STATE |
| title_short | BIG DATA ANALYTICS & ARTIFICIAL INTELLIGENCE IN MANAGEMENT OF HEALTHCARE: IMPACTS & CURRENT STATE |
| title_sort | big data analytics artificial intelligence in management of healthcare impacts current state |
| topic | management, data analytics, artificial intelligence, healthcare, performance |
| url | https://msdjournal.org/wp-content/uploads/vol14issue1-6.pdf |
| work_keys_str_mv | AT sazumesbaulhaque bigdataanalyticsartificialintelligenceinmanagementofhealthcareimpactscurrentstate AT jahansakilaakter bigdataanalyticsartificialintelligenceinmanagementofhealthcareimpactscurrentstate |