Cloud Technologies in Healthcare : Transforming Patient Care and Clinical Outcomes

Authors

  • Anshul Goel Varian, USA Author

DOI:

https://doi.org/10.32628/CSEIT24106189

Keywords:

Cloud Healthcare Infrastructure, Clinical Decision Support Analytics, Telemedicine Integration, Healthcare Artificial Intelligence, Patient-Centered Digital Health

Abstract

This comprehensive article examines the transformative impact of cloud technologies on modern healthcare delivery systems, focusing on their role in revolutionizing patient care, clinical decision-making, and healthcare management. The article analyzes the multifaceted implementation of cloud-based solutions across various healthcare domains, including electronic health records management, telemedicine services, artificial intelligence integration, and clinical research platforms. Through detailed examination of cloud-based healthcare infrastructure, the research highlights significant advancements in remote access systems, data analytics capabilities, and medical imaging solutions that have enhanced healthcare delivery efficiency and accessibility. The investigation extends to advanced technology integration, emphasizing the crucial role of artificial intelligence in predictive analytics, diagnostic assistance, and treatment optimization, while also exploring the evolution of patient engagement through sophisticated portal systems and personalized care delivery approaches. Results indicate that cloud technologies have substantially improved healthcare outcomes through enhanced data accessibility, streamlined clinical workflows, and improved patient engagement, despite persistent challenges in security, interoperability, and implementation costs. The article demonstrate the pivotal role of cloud computing in shaping the future of healthcare delivery, particularly in enabling personalized medicine approaches and expanding access to quality healthcare services across diverse geographical and socioeconomic boundaries.

Downloads

Download data is not yet available.

References

Aceto, G., Persico, V., & Pescapé, A. (2020). "Industry 4.0 and Health: Internet of Things, Big Data, and Cloud Computing for Healthcare 4.0." Journal of Industrial Information Integration, 18, 100129. https://doi.org/10.1016/j.jii.2020.100129

Wagobera Edgar Kedi , Chibundom Ejimuda, Mojeed Dayo Ajegbile "Cloud Computing in Healthcare: A comprehensive review of data storage and analysis solutions." Journal of Healthcare Engineering, vol. 2023, Article ID 8145962 https://doi.org/10.30574/wjaets.2024.12.2.0291

Kruse, Clemens Scott et al. “Adoption Factors of the Electronic Health Record: A Systematic Review.” JMIR Medical Informatics 4 (2016): n. pag. https://www.semanticscholar.org/paper/Adoption-Factors-of-the-Electronic-Health-Record%3A-A-Kruse-Kothman/de8f0cec6e709ae7c0dc499343c6f0f815517460

Bokolo, A. J. (2021). "Application of Telemedicine and eHealth Technology for Clinical Services in Response to COVID-19 Pandemic." Health and Technology, 11(2), 359-366. https://doi.org/10.1007/s12553-020-00516-4

Wang, Y., Kung, L., & Byrd, T. A. (2018). "Big data analytics: Understanding its capabilities and potential benefits for healthcare organizations." Technological Forecasting and Social Change, 126, 3-13. https://doi.org/10.1016/j.techfore.2015.12.019

Kagadis, G. C., Kloukinas, C., Moore, K., Philbin, J., Papadimitroulas, P., Alexakos, C., et al. (2023). "Cloud computing in medical imaging." Medical Physics, 40(7), 070901. https://doi.org/10.1118/1.4811272

Topol, E. J. (2023). "High-performance medicine: the convergence of human and artificial intelligence." Nature Medicine, 25(1), 44-56. https://doi.org/10.1038/s41591-018-0300-7

Wilkinson, M. D., Dumontier, M., Aalbersberg, I. J., et al. (2022). "The FAIR Guiding Principles for scientific data management and stewardship." Scientific Data, 3(1), 160018. https://doi.org/10.1038/sdata.2016.18

Baldwin, J. L., Singh, H., Sittig, D. F., & Giardina, T. D. (2023). "Patient portals and health apps: Pitfalls, promises, and what one might learn from the other." Healthcare, 5(3), 81-85. https://doi.org/10.1016/j.hjdsi.2016.08.004

Bates, D. W., Levine, D., Syrowatka, A., Kuznetsova, M., Craig, K. J. T., Rui, A., Jackson, G. P., & Rhee, K. (2021). "The potential of artificial intelligence to improve patient safety: a scoping review." npj Digital Medicine, 4(1), 54. https://doi.org/10.1038/s41746-021-00423-6

Downloads

Published

13-11-2024

Issue

Section

Research Articles