Data Science Innovations Driving Efficiency in Cloud-Based Healthcare Systems
Keywords:
data science, cloud computing, healthcare systems, machine learningAbstract
Data science increases patient care, operations, decision-making, efficiency of cloud-based healthcare systems. On-cloud predictive analytics, machine learning, and big data processing improve patient outcomes, resource allocation, and clinical operations. With scalable and flexible cloud technologies, healthcare companies may remotely manage enormous patient data. Data science techniques are used in cloud healthcare for real-time monitoring, customising, and diagnosing. Discussed include cloud data privacy, security, interoperability and medical data exchange technologies as well as laws pertaining to these areas. According to the research, data science could raise patient care, sustainability, and healthcare efficiency.
Downloads
References
S. R. P. Silva, "Cloud computing in healthcare: A survey," Journal of Cloud Computing, vol. 10, no. 1, pp. 1-21, 2021.
A. Sharma, R. K. Gupta, and P. Gupta, "Data science applications in healthcare systems: Challenges and opportunities," International Journal of Healthcare Informatics, vol. 12, no. 4, pp. 253-272, 2020.
T. J. S. Sridhar and A. H. Khan, "Cloud-based healthcare systems: Architecture and applications," Journal of Cloud Computing: Advances, Systems and Applications, vol. 8, no. 3, pp. 34-46, 2021.
P. Patel, N. Kumar, and S. K. Agarwal, "Predictive analytics in cloud-based healthcare systems: Opportunities and challenges," Healthcare Data Analytics, vol. 9, no. 2, pp. 45-63, 2022.
H. M. Hossain and T. W. Austin, "Machine learning in healthcare: Transforming the cloud-based healthcare landscape," AI in Healthcare, vol. 14, no. 1, pp. 24-42, 2023.
R. C. Jain, "Big data and cloud computing in healthcare systems," Cloud Computing Journal, vol. 15, no. 5, pp. 112-134, 2019.
C. A. Li, S. Y. Lee, and L. C. Hsieh, "Privacy-preserving techniques in cloud healthcare systems," International Journal of Medical Informatics, vol. 98, pp. 22-38, 2020.
Y. Wu and H. Chen, "Interoperability issues in cloud-based healthcare systems," Journal of Healthcare Information Management, vol. 27, no. 4, pp. 311-329, 2021.
M. Kumar and V. M. Suresh, "Optimizing healthcare resource utilization using cloud computing," International Journal of Cloud Computing and Services Science, vol. 8, no. 3, pp. 45-58, 2021.
J. Lee, A. S. Sharma, and D. M. Gill, "Data integration and interoperability challenges in cloud healthcare systems," IEEE Transactions on Cloud Computing, vol. 7, no. 2, pp. 431-444, 2022.
S. A. Malek, A. K. Dey, and S. A. Rahman, "Cloud-based machine learning applications in healthcare diagnostics," IEEE Access, vol. 9, pp. 34725-34740, 2021.
R. S. Horne, "AI and machine learning in cloud-based healthcare systems: Revolutionizing patient care," Journal of Artificial Intelligence in Healthcare, vol. 12, no. 1, pp. 101-114, 2023.
M. T. Hossain, S. R. Choudhury, and M. M. Rahman, "Data security challenges in healthcare cloud computing environments," International Journal of Security and Privacy in Healthcare, vol. 6, no. 2, pp. 123-139, 2022.
A. B. Gupta, S. S. Kaur, and R. D. Prakash, "Cloud computing in healthcare: A review on its architectures and applications," International Journal of Healthcare Technology and Management, vol. 9, no. 4, pp. 298-313, 2020.
Z. L. Chen and L. M. Wang, "Utilizing predictive analytics in healthcare cloud systems for optimized patient outcomes," Journal of Medical Data Science, vol. 10, no. 3, pp. 196-210, 2021.
S. M. Patel, "Cloud computing and data privacy: Safeguarding healthcare data in the cloud," Healthcare Information Security Review, vol. 19, no. 4, pp. 62-77, 2021.
R. G. Sharma, "AI-enabled predictive analytics in cloud healthcare systems," IEEE Journal of Biomedical and Health Informatics, vol. 24, no. 6, pp. 1856-1867, 2022.
A. C. Thakur, N. S. Vohra, and P. K. Joshi, "Personalized healthcare through cloud-based AI models," Journal of Personalized Healthcare, vol. 11, no. 1, pp. 23-41, 2023.
D. A. Gill and V. K. Singh, "Healthcare workflow optimization using cloud computing and data science," Cloud Computing and Healthcare Systems Review, vol. 16, no. 2, pp. 134-148, 2022.
R. S. Brown and L. K. Zhang, "Data science innovations for healthcare: Impacts on operational efficiency and clinical decision-making," Journal of Data Science in Healthcare, vol. 8, no. 4, pp. 89-102, 2021.
