Harnessing Big Data Analytics for Healthcare: A Comprehensive Review of Frameworks, Implications, Applications, and Impacts
Big Data Analytics (BDA) has garnered significant attention in both academia and industries, particularly in sectors such as healthcare, owing to the exponential growth of data and advancements in technology. The integration of data from diverse sources and the utilization of advanced analytical tec...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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IEEE
2023-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10274958/ |
| _version_ | 1827789238198861824 |
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| author | Awais Ahmed Rui Xi Mengshu Hou Syed Attique Shah Sufian Hameed |
| author_facet | Awais Ahmed Rui Xi Mengshu Hou Syed Attique Shah Sufian Hameed |
| author_sort | Awais Ahmed |
| collection | DOAJ |
| description | Big Data Analytics (BDA) has garnered significant attention in both academia and industries, particularly in sectors such as healthcare, owing to the exponential growth of data and advancements in technology. The integration of data from diverse sources and the utilization of advanced analytical techniques has the potential to revolutionize healthcare by improving diagnostic accuracy, enabling personalized medicine, and enhancing patient outcomes. In this paper, we aim to provide a comprehensive literature review on the application of big data analytics in healthcare, focusing on its ecosystem, applications, and data sources. To achieve this, an extensive analysis of scientific studies published between 2013 and 2023 was conducted and overall 180 scientific studies were thoroughly evaluated, establishing a strong foundation for future research and identifying collaboration opportunities in the healthcare domain. The study delves into various application areas of BDA in healthcare, highlights successful implementations, and explores their potential to enhance healthcare outcomes while reducing costs. Additionally, it outlines the challenges and limitations associated with BDA in healthcare, discusses modelling tools and techniques, showcases deployed solutions, and presents the advantages of BDA through various real-world use cases. Furthermore, this study identifies and discusses key open research challenges in the field of big data analytics in healthcare, aiming to push the boundaries and contribute to enhanced healthcare outcomes and decision-making processes. |
| first_indexed | 2024-03-11T17:17:32Z |
| format | Article |
| id | doaj.art-7e286cee3afa4383a8a702a3960e2b69 |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-03-11T17:17:32Z |
| publishDate | 2023-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-7e286cee3afa4383a8a702a3960e2b692023-10-19T23:01:00ZengIEEEIEEE Access2169-35362023-01-011111289111292810.1109/ACCESS.2023.332357410274958Harnessing Big Data Analytics for Healthcare: A Comprehensive Review of Frameworks, Implications, Applications, and ImpactsAwais Ahmed0https://orcid.org/0000-0003-4410-2028Rui Xi1https://orcid.org/0000-0002-6400-9106Mengshu Hou2https://orcid.org/0000-0002-5283-7318Syed Attique Shah3https://orcid.org/0000-0003-2949-7391Sufian Hameed4https://orcid.org/0000-0003-4683-1988School of Computer Science and Engineering, University of Electronic Science and Technology of China (UESTC), Chengdu, ChinaSchool of Computer Science and Engineering, University of Electronic Science and Technology of China (UESTC), Chengdu, ChinaSchool of Computer Science and Engineering, University of Electronic Science and Technology of China (UESTC), Chengdu, ChinaSchool of Computing and Digital Technology, Birmingham City University, Birmingham, U.K.Department of Computer Science, National University of Computer and Emerging Sciences, Karachi, PakistanBig Data Analytics (BDA) has garnered significant attention in both academia and industries, particularly in sectors such as healthcare, owing to the exponential growth of data and advancements in technology. The integration of data from diverse sources and the utilization of advanced analytical techniques has the potential to revolutionize healthcare by improving diagnostic accuracy, enabling personalized medicine, and enhancing patient outcomes. In this paper, we aim to provide a comprehensive literature review on the application of big data analytics in healthcare, focusing on its ecosystem, applications, and data sources. To achieve this, an extensive analysis of scientific studies published between 2013 and 2023 was conducted and overall 180 scientific studies were thoroughly evaluated, establishing a strong foundation for future research and identifying collaboration opportunities in the healthcare domain. The study delves into various application areas of BDA in healthcare, highlights successful implementations, and explores their potential to enhance healthcare outcomes while reducing costs. Additionally, it outlines the challenges and limitations associated with BDA in healthcare, discusses modelling tools and techniques, showcases deployed solutions, and presents the advantages of BDA through various real-world use cases. Furthermore, this study identifies and discusses key open research challenges in the field of big data analytics in healthcare, aiming to push the boundaries and contribute to enhanced healthcare outcomes and decision-making processes.https://ieeexplore.ieee.org/document/10274958/Big data analyticshealthcare information systemssystematic literature reviewmultimodal big datadata-driven decisionsnatural language processing |
| spellingShingle | Awais Ahmed Rui Xi Mengshu Hou Syed Attique Shah Sufian Hameed Harnessing Big Data Analytics for Healthcare: A Comprehensive Review of Frameworks, Implications, Applications, and Impacts IEEE Access Big data analytics healthcare information systems systematic literature review multimodal big data data-driven decisions natural language processing |
| title | Harnessing Big Data Analytics for Healthcare: A Comprehensive Review of Frameworks, Implications, Applications, and Impacts |
| title_full | Harnessing Big Data Analytics for Healthcare: A Comprehensive Review of Frameworks, Implications, Applications, and Impacts |
| title_fullStr | Harnessing Big Data Analytics for Healthcare: A Comprehensive Review of Frameworks, Implications, Applications, and Impacts |
| title_full_unstemmed | Harnessing Big Data Analytics for Healthcare: A Comprehensive Review of Frameworks, Implications, Applications, and Impacts |
| title_short | Harnessing Big Data Analytics for Healthcare: A Comprehensive Review of Frameworks, Implications, Applications, and Impacts |
| title_sort | harnessing big data analytics for healthcare a comprehensive review of frameworks implications applications and impacts |
| topic | Big data analytics healthcare information systems systematic literature review multimodal big data data-driven decisions natural language processing |
| url | https://ieeexplore.ieee.org/document/10274958/ |
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