Vol. 4 No. 1 (2024): Hong Kong Journal of AI and Medicine
Articles

AI-Powered Cloud Solutions for Improving Patient Experience in Healthcare: Advanced Models and Real-World Applications

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  • Navajeevan Pushadapu
Navajeevan Pushadapu
SME Clinical Data Engineer, Orlando Health, Atlanta, US
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Published 20-06-2024

Keywords

  • Artificial Intelligence,
  • Cloud Computing,
  • Healthcare,
  • Patient Experience,
  • Machine Learning
Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.

How to Cite

[1]
N. Pushadapu, “AI-Powered Cloud Solutions for Improving Patient Experience in Healthcare: Advanced Models and Real-World Applications”, Hong Kong J. of AI and Med., vol. 4, no. 1, pp. 170–222, Jun. 2024, Accessed: Sep. 18, 2024. [Online]. Available: https://hongkongscipub.com/index.php/hkjaim/article/view/28

Abstract

The integration of Artificial Intelligence (AI) with cloud computing presents transformative opportunities in the healthcare sector, particularly in enhancing patient experience. This research paper delves into AI-powered cloud solutions and their impact on improving patient care through advanced models and practical applications. The paper begins by delineating the synergy between AI and cloud technologies, emphasizing how their convergence addresses critical challenges in healthcare delivery. The study explores various AI models, including machine learning algorithms, natural language processing, and predictive analytics, which are deployed within cloud environments to optimize patient interactions and outcomes.

Cloud-based AI solutions enable scalable and efficient management of vast amounts of patient data, facilitating real-time analytics and personalized care. The paper examines the architectural frameworks that support these solutions, such as cloud-based data lakes, distributed computing, and edge computing. These technologies contribute to more effective patient management by providing clinicians with actionable insights derived from diverse data sources. Furthermore, the research highlights the role of AI in automating routine tasks, such as appointment scheduling and patient triage, which significantly reduces administrative burdens and enhances the overall patient experience.

Key real-world applications of AI-powered cloud solutions are also discussed, including virtual health assistants, telemedicine platforms, and personalized treatment plans. Virtual health assistants, powered by natural language processing, offer patients immediate responses to their queries and guidance through digital health services. Telemedicine platforms, enhanced with AI capabilities, facilitate remote consultations, thereby improving access to healthcare services and patient convenience. Personalized treatment plans leverage predictive analytics to tailor interventions to individual patient needs, thereby improving treatment efficacy and patient satisfaction.

The paper further analyzes case studies from leading healthcare institutions that have successfully implemented AI-powered cloud solutions. These case studies provide empirical evidence of the benefits derived from such technologies, including reduced operational costs, improved patient engagement, and enhanced clinical outcomes. The research underscores the importance of data security and privacy in the deployment of AI-powered cloud solutions, highlighting the measures necessary to protect sensitive patient information and comply with regulatory standards.

In conclusion, the paper asserts that AI-powered cloud solutions are pivotal in advancing patient experience within the healthcare sector. By harnessing the capabilities of AI and cloud computing, healthcare providers can deliver more personalized, efficient, and accessible care. The study calls for continued research and development in this domain to further refine these technologies and address emerging challenges. Future advancements are expected to drive even greater improvements in patient care, making AI-powered cloud solutions an integral component of modern healthcare strategies.

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