A Comparative Analysis of Cloud Computing Technologies for Enhancing Healthcare Services

Authors

  • Harshvardhan Chunawala
  • Pratikkumar Chunawala

DOI:

https://doi.org/10.59367/cbj7jy29

Keywords:

Cloud computing, healthcare services, data security, interoperability, EHRs, telemedicine, big data analytics

Abstract

The rapid advancements in cloud computing have significantly transformed the healthcare industry, enabling enhanced service delivery, improved patient outcomes, and streamlined operations. This paper presents a comprehensive comparative analysis of various cloud computing technologies utilized in healthcare services, focusing on their potential to address critical challenges such as data storage, security, and interoperability. The study examines different cloud models, including public, private, hybrid, and multi-cloud environments, and evaluates their effectiveness in managing healthcare data. Through A systematic review of the existing literature and case studies, the paper highlights the benefits and limitations of these technologies in the context of healthcare. Public cloud solutions, while cost-effective and scalable, raise concerns over data privacy and compliance with healthcare regulations like HIPAA. In contrast, private cloud deployments offer enhanced security and control but at a higher cost and with limited scalability. Hybrid and multi-cloud approaches are discussed as potential solutions that combine the advantages of both models, offering flexibility and optimized resource utilization. The analysis also explores the role of cloud computing in facilitating advanced healthcare applications such as big data analytics, artificial intelligence, and personalized medicine. These technologies rely on the cloud's computational power and storage capabilities to process large datasets and derive actionable insights that improve patient care. The paper concludes by identifying best practices for healthcare organizations to adopt cloud technologies effectively, emphasizing the importance of robust security measures, compliance with regulatory standards, and continuous innovation to address evolving challenges in healthcare.

References

. Anderson, J. G., "Social, ethical and legal barriers to e-health," Int. J. Med. Inform., vol. 76, no. 5–6, pp. 480–483, 2007.

. Glicksman, B. S., and Gross, J. A., "Technology and healthcare costs: Combining new technologies and administrative savings may mitigate the cost increases associated with the greater use of technology," Healthcare Financ. Manage., vol. 58, no. 2, pp. 54–58, 2004.

. Buyya, R., Yeo, C. S., Venugopal, S., Broberg, J., and Brandic, I., "Cloud computing and emerging IT platforms: Vision, hype, and reality for delivering computing as the 5th utility," Future Generation Comput. Syst., vol. 25, no. 6, pp. 599-616, 2009.

. Ali, M., Khan, S. U., and Vasilakos, A. V., "Security in cloud computing: Opportunities and challenges," Inf. Sci., vol. 305, pp. 357-383, 2015.

. Microsoft Azure, "Azure compliance offerings," https://azure.microsoft.com/en-us/overview/trusted-cloud/compliance/, accessed Jul. 1, 2024.

. Sood, S. K., Mahajan, S., and Gupta, I., "Cloud computing based e-healthcare systems: Security and privacy challenges," Comput. Electr. Eng., vol. 39, no. 2, pp. 169-177, 2013.

. Dillon, T., Wu, C., and Chang, E., "Cloud computing: Issues and challenges," in Proc. 2010 24th IEEE Int. Conf. Adv. Inf. Netw. Appl., Perth, WA, Australia, pp. 27-33, 2010.

. H. R. Devarajan, S. Balasubramanian, S. Kumar Swarnkar, P. Kumar and V. R. Jallepalli, "Deep Learning for Automated Detection of Lung Cancer from Medical Imaging Data," 2023 International Conference on Artificial Intelligence for Innovations in Healthcare Industries (ICAIIHI), Raipur, India, 2023, pp. 1-5, doi: 10.1109/ICAIIHI57871.2023.10488962.

. Fernando, N., Loke, S. W., and Rahayu, W., "Mobile cloud computing: A survey," Future Generation Computer Systems, vol. 29, no. 1, pp. 84-106, 2013.

. Bernstein, D., Ludvigson, E., Sankar, K., Diamond, S., and Morrow, M., "Blueprint for the intercloud - protocols and formats for cloud computing interoperability," in Proc. 2009 4th IEEE Int. Conf. Internet Web Appl. Services, Venice/Mestre, Italy, pp. 328-336, 2009.

. Werner, S. L., Simon, M. G., and Wasserman, D. F., "The impact of health information technology on medical practice management," J. Med. Pract. Manage., vol. 27, no. 4, pp. 215-218, 2012.

. Choon, L., Yong, K. W., and Lim, S. K., "Exploring the impact of cloud-based EHRs on medical practices in the U.S.," Healthcare Informatics, vol. 10, no. 2, pp. 17-23, 2016.

. Cavoukian, A., "Privacy by design in health care: The emergence of privacy-enhancing technologies," J. Health Inf. Manage., vol. 20, no. 4, pp. 22-28, 2006.

. Bashshur, R. A., Shannon, G. W., and Smith, E. W., Telemedicine: Theory and Practice. Springfield, IL, USA: Charles C. Thomas Publisher, 1997.

. Bhargava, H. K., and Kumar, V., "The impact of cloud computing on healthcare systems," J. Med. Internet Res., vol. 21, no. 9, p. e10957, 2019.

. G. Singh Chhabra, A. Guru, B. J. Rajput, L. Dewangan and S. K. Swarnkar, "Multimodal Neuroimaging for Early Alzheimer's detection: A Deep Learning Approach," 2023 14th International Conference on Computing Communication and Networking Technologies (ICCCNT), Delhi, India, 2023, pp. 1-5, doi: 10.1109/ICCCNT56998.2023.10307780.

. Furht, B., and Escalante, A., Handbook of Cloud Computing. New York, NY, USA: Springer, 2010.

. Wang, L., Ranjan, R., Chen, J., and Benatallah, B., "Cloud computing: A perspective study," New Generation Computing, vol. 28, no. 2, pp. 137-146, 2010.

. Mell, P., and Grance, T., "The NIST definition of cloud computing," Natl. Inst. Stand. Technol., Gaithersburg, MD, USA, Rep. SP 800-145, Sep. 2011.

. Bhargava, H. K., and Kumar, V., "The impact of cloud computing on healthcare systems," J. Med. Internet Res., vol. 21, no. 9, p. e10957, 2019.

. Sood, S. K., Mahajan, S., and Gupta, I., "Cloud computing based e-healthcare systems: Security and privacy challenges," Comput. Electr. Eng., vol. 39, no. 2, pp. 169-177, 2013.

. Fernández-Alemán, J. L., Señor, I. C., Lozoya, P. Á. O., and Toval, A., "Security and privacy in electronic health records: A systematic literature review," J. Biomed. Inform., vol. 46, no. 3, pp. 541-562, 2013.

. S. K. Swarnkar, L. Dewangan, O. Dewangan, T. M. Prajapati and F. Rabbi, "AI-enabled Crop Health Monitoring and Nutrient Management in Smart Agriculture," 2023 6th International Conference on Contemporary Computing and Informatics (IC3I), Gautam Buddha Nagar, India, 2023, pp. 2679-2683, doi: 10.1109/IC3I59117.2023.10398035.

. Cavoukian, A., "Privacy by design in health care: The emergence of privacy-enhancing technologies," J. Health Inf. Manage., vol. 20, no. 4, pp. 22-28, 2006.

. Burns, J. A., Kingsbury, D. E., and Sprague, B. T., "Cloud computing: Implications for patient privacy and confidentiality," Health Inf. Manage., vol. 45, no. 3, pp. 92-98, 2016.

. Kim, H., Park, K., and Lee, Y., "Interoperability challenges in cloud-based healthcare systems," IEEE Trans. Serv. Comput., vol. 10, no. 4, pp. 761-774, 2017.

. Zhang, X., Dong, X., and Jin, S., "Big data analytics in healthcare: Cloud computing and its applications," Healthcare Informatics Research, vol. 23, no. 2, pp. 127-136, 2017.

. Buyya, R., Yeo, C. S., Venugopal, S., Broberg, J., and Brandic, I., "Cloud computing and emerging IT platforms: Vision, hype, and reality for delivering computing as the 5th utility," Future Generation Comput. Syst., vol. 25, no. 6, pp. 599-616, 2009.

. Park, S., and Lee, Y., "Implementing cloud-based telemedicine platforms in rural healthcare: A case study," Telemedicine Journal and e-Health, vol. 24, no. 4, pp. 284-290, 2018.

. Ryu, J., Kim, H., and Lee, M., "Managing large-scale health data using cloud computing in urban hospitals," Journal of Medical Systems, vol. 42, no. 1, p. 12, 2018.

. A. D. Dhaygude, R. A. Varma, P. Yerpude, S. K. Swarnkar, R. Kumar Jindal and F. Rabbi, "Deep Learning Approaches for Feature Extraction in Big Data Analytics," 2023 10th IEEE Uttar Pradesh Section International Conference on Electrical, Electronics and Computer Engineering (UPCON), Gautam Buddha Nagar, India, 2023, pp. 964-969, doi: 10.1109/UPCON59197.2023.10434607.

. Joshi, S., Verma, P., and Singh, A., "Economic impact of cloud computing in healthcare: A cost-benefit analysis," Journal of Healthcare Management, vol. 63, no. 1, pp. 34-44, 2019.

. Li, X., and Zhang, Y., "Integrating AI with cloud computing in healthcare: Enhancing diagnostic accuracy and personalized treatment," Journal of Artificial Intelligence Research, vol. 64, no. 2, pp. 451-463, 2019.

. Sun, Y., Zhang, S., and Huang, G., "Collaborative research in healthcare using cloud computing: A new platform for innovation," Healthcare Research and Development, vol. 10, no. 3, pp. 221-231, 2020.

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Published

2024-10-12

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Articles

How to Cite

A Comparative Analysis of Cloud Computing Technologies for Enhancing Healthcare Services. (2024). International Journal of Futuristic Innovation in Arts, Humanities and Management (IJFIAHM), 3(3), 1-16. https://doi.org/10.59367/cbj7jy29

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