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 |
| Summary: | 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. |
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| ISSN: | 2086-9614 2087-2100 |