A Review of Big Data Trends and Challenges in Healthcare
The healthcare sector produces an enormous amount of complicated data from several sources, such as health monitoring systems, medical devices, and electronic health records. Big data analytics may improve healthcare by enabling more effective decision-making, improving patient outcomes, and red...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Universitas Indonesia
2023-10-01
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| Series: | International Journal of Technology |
| Subjects: | |
| Online Access: | https://ijtech.eng.ui.ac.id/article/view/6643 |
| _version_ | 1797644360586625024 |
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| author | Laila Baloch Sibghat Ullah Bazai Shah Marjan Farhan Aftab Saad Aslam Tse-Kian Neo Angela Amphawan |
| author_facet | Laila Baloch Sibghat Ullah Bazai Shah Marjan Farhan Aftab Saad Aslam Tse-Kian Neo Angela Amphawan |
| author_sort | Laila Baloch |
| collection | DOAJ |
| description | The healthcare sector produces an enormous amount of
complicated data from several sources, such as health monitoring systems,
medical devices, and electronic health records. Big data analytics may improve
healthcare by enabling more effective decision-making, improving patient
outcomes, and reducing costs. To improve the operational efficiency of
healthcare organizations, scientific studies must search for the
standardization and integration of data analysis equipment and methods. This
systematic literature review aims to provide current insights on the topic by
analyzing a total of 60 relevant articles published between 2017 and 2023. The
review explores the challenges and opportunities in using big data in
healthcare, including data security, privacy, data quality, interoperability,
and ethical considerations. The article also explores big data analytics'
potential uses in healthcare, such as personalized treatment, disease
prediction and prevention, and population health management. It provides significant
insights for healthcare providers, researchers, and practitioners to make
evidence-based decisions, as well as underlines the need for more research in
this area to fully realize the promise of big data in healthcare. |
| first_indexed | 2024-03-11T14:30:28Z |
| format | Article |
| id | doaj.art-ad602a5eaf0f4ce498da15607b6a16d3 |
| institution | Directory Open Access Journal |
| issn | 2086-9614 2087-2100 |
| language | English |
| last_indexed | 2024-03-11T14:30:28Z |
| publishDate | 2023-10-01 |
| publisher | Universitas Indonesia |
| record_format | Article |
| series | International Journal of Technology |
| spelling | doaj.art-ad602a5eaf0f4ce498da15607b6a16d32023-10-31T10:11:52ZengUniversitas IndonesiaInternational Journal of Technology2086-96142087-21002023-10-011461320133310.14716/ijtech.v14i6.66436643A Review of Big Data Trends and Challenges in HealthcareLaila Baloch0Sibghat Ullah Bazai1Shah Marjan2Farhan Aftab3Saad Aslam4Tse-Kian Neo5Angela Amphawan6Department of Computer Engineering, Balochistan University of Information, Technology, Engineering and Management Sciences, Quetta 87650, PakistanDepartment of Computer Engineering, Balochistan University of Information, Technology, Engineering and Management Sciences, Quetta 87650, PakistanDepartment of Software Engineering, Balochistan University of Information, Technology, Engineering and Management Sciences, Quetta 87650, PakistanDepartment of Computer Engineering, Balochistan University of Information, Technology, Engineering and Management Sciences, Quetta 87650, PakistanDepartment of Computing and Information Systems, School of Engineering and Technology, Sunway University, Selangor 47500, MalaysiaCAMELOT, Faculty of Creative Multimedia, Multimedia University, Cyberjaya 63100, Selangor, MalaysiaDepartment of Computing and Information Systems, School of Engineering and Technology, Sunway University, Selangor 47500, MalaysiaThe healthcare sector produces an enormous amount of complicated data from several sources, such as health monitoring systems, medical devices, and electronic health records. Big data analytics may improve healthcare by enabling more effective decision-making, improving patient outcomes, and reducing costs. To improve the operational efficiency of healthcare organizations, scientific studies must search for the standardization and integration of data analysis equipment and methods. This systematic literature review aims to provide current insights on the topic by analyzing a total of 60 relevant articles published between 2017 and 2023. The review explores the challenges and opportunities in using big data in healthcare, including data security, privacy, data quality, interoperability, and ethical considerations. The article also explores big data analytics' potential uses in healthcare, such as personalized treatment, disease prediction and prevention, and population health management. It provides significant insights for healthcare providers, researchers, and practitioners to make evidence-based decisions, as well as underlines the need for more research in this area to fully realize the promise of big data in healthcare.https://ijtech.eng.ui.ac.id/article/view/6643artificial intelligencebig data analysisbig data in healthcarehealthcare |
| spellingShingle | Laila Baloch Sibghat Ullah Bazai Shah Marjan Farhan Aftab Saad Aslam Tse-Kian Neo Angela Amphawan A Review of Big Data Trends and Challenges in Healthcare International Journal of Technology artificial intelligence big data analysis big data in healthcare healthcare |
| title | A Review of Big Data Trends and Challenges in Healthcare |
| title_full | A Review of Big Data Trends and Challenges in Healthcare |
| title_fullStr | A Review of Big Data Trends and Challenges in Healthcare |
| title_full_unstemmed | A Review of Big Data Trends and Challenges in Healthcare |
| title_short | A Review of Big Data Trends and Challenges in Healthcare |
| title_sort | review of big data trends and challenges in healthcare |
| topic | artificial intelligence big data analysis big data in healthcare healthcare |
| url | https://ijtech.eng.ui.ac.id/article/view/6643 |
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