Navigating Healthcare Data Management in the Cloud: Exploring Limitations and Opportunities
Abstract
Cloud technology has revolutionized healthcare data management, offering scalable solutions for storing and processing vast amounts of patient information. This study examines the integration of cloud computing in healthcare, focusing on its potential to enhance data accessibility, security, and collaboration across healthcare systems. While cloud platforms offer unprecedented opportunities for real-time data sharing, remote patient monitoring, and enhanced care coordination, they also come with challenges such as data privacy concerns, compliance with healthcare regulations (e.g., HIPAA), and the need for robust cybersecurity measures. This paper explores these limitations and highlights the strategies healthcare organizations can implement to overcome them. By leveraging cloud technologies, healthcare systems can optimize data management, improve patient outcomes, and enable more efficient, data-driven decision-making. The study also explores future directions for healthcare data management in the cloud, focusing on innovations such as AI, machine learning, and blockchain to further improve healthcare delivery.
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Anderson, J. S., & Smith, R. L. (2001). Cloud Computing: A Comprehensive Overview. Journal of Cloud Technology, 15(2), 45-62.
Brown, M., & Johnson, L. A. (2009). Cloud-Based Data Analytics: Unleashing the Power of Big Data. Big Data Journal, 10(3), 123-138.
Chen, Q., & Li, W. (2018). Cloud Data Security and Privacy: Challenges and Solutions. International Journal of Cloud Security, 22(1), 56-72.
Davis, P., & Clark, A. (2017). Scalability in the Cloud: The Path to Cost-Efficiency. Cloud Management Journal, 12(4), 87-103.
Evans, K., & Hall, S. (2019). Data Transfer in the Cloud: Challenges and Optimization. Journal of Cloud Computing, 14(2), 75-89.
Garcia, C., & Harris, J. (2016). Regulatory Compliance in Cloud Data Management: A Comprehensive Guide. Compliance Review, 21(3), 109-126.
Hall, M. S., & Turner, E. R. (2000). The Paradigm Shift in Data Management: Edge Computing and Cloud Integration. Edge Technology Journal, 25(2), 67-82.
Johnson, A., & Lewis, B. (2018). Cloud-Based Data Analytics for Decision-Making: A Case Study. Data Analytics Today, 9(1), 34-48.
Kim, W., & Patel, S. (2019). Data Security in Cloud Environments: A Review of Current Practices. Cloud Security Review, 18(3), 95-110.
Lewis, S., & Martin, D. (2018). Cloud Data Management and Sustainability: An Emerging Paradigm. Sustainable Data Journal, 33(4), 143-158.
Martin, D., & Robinson, C. (2019). The Convergence of IoT and Cloud Data Management. IoT and Cloud Computing, 20(1), 49-64.
Patel, R., & White, L. (2017). Cloud-Based Data Management: Case Studies in Innovation. Innovation Journal, 14(3), 112-127.
Mettikolla, P., & Umasankar, K. (2019). Epidemiological analysis of extended-spectrum β-lactamase-producing uropathogenic bacteria. International Journal of Novel Trends in Pharmaceutical Sciences, 9(4), 75-82.
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