Transformation of Healthcare Analytics : Cloud-Powered Solutions with Data Science, ML, and LLMs

Cloud-powered solutions have emerged as transformative forces in healthcare data analytics, revolutionizing how healthcare organizations process, analyze, and utilize patient data. These solutions leverage data science, Large Language Models (LLMs), and machine learning technologies to revolutionize patient care and enhance healthcare system efficiency. This comprehensive study analyzes the Cloud infrastructure integration in healthcare facilities demonstrating a remarkable 72.3% improvement in clinical documentation efficiency and average annual savings of $4.7 million per facility. Also, these technologies enhance healthcare accessibility, improve public health monitoring, economic outcomes, and strengthen data security on healthcare delivery across urban and rural settings. This article explores the impact of cloud computing across five critical dimensions: infrastructure capabilities, data science, machine learning integration, LLM applications, and societal impact. This paper provides quantitative evidence of cloud computing's role in advancing global healthcare innovation on precision medicine, real-time insights, unparalleled operational efficiencies while ensuring robust security and regulatory compliance.

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Publication Details

Journal
International Journal of Scientific Research in Computer Science Engineering and Information Technology
Published
2024-11-20
DOI
https://doi.org/10.32628/cseit241061114
Citations
3
Primary Topic
Artificial Intelligence in Healthcare
Type
article
Field-Weighted Citation Impact
2.12
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article

Transformation of Healthcare Analytics : Cloud-Powered Solutions with Data Science, ML, and LLMs

Santhosh Kumar Pendyala
3 citations
International Journal of Scientific Research in Computer Science Engineering and Information Technology
Artificial Intelligence in Healthcare
2.12
article

Transformation of Healthcare Analytics : Cloud-Powered Solutions with Data Science, ML, and LLMs

Santhosh Kumar Pendyala
article en
3 citations

Abstract

Cloud-powered solutions have emerged as transformative forces in healthcare data analytics, revolutionizing how healthcare organizations process, analyze, and utilize patient data. These solutions leverage data science, Large Language Models (LLMs), and machine learning technologies to revolutionize patient care and enhance healthcare system efficiency. This comprehensive study analyzes the Cloud infrastructure integration in healthcare facilities demonstrating a remarkable 72.3% improvement in clinical documentation efficiency and average annual savings of $4.7 million per facility. Also, these technologies enhance healthcare accessibility, improve public health monitoring, economic outcomes, and strengthen data security on healthcare delivery across urban and rural settings. This article explores the impact of cloud computing across five critical dimensions: infrastructure capabilities, data science, machine learning integration, LLM applications, and societal impact. This paper provides quantitative evidence of cloud computing's role in advancing global healthcare innovation on precision medicine, real-time insights, unparalleled operational efficiencies while ensuring robust security and regulatory compliance.

International Journal of Scientific Research in Computer Science Engineering and Information TechnologyVol. 10(6)
Cognizant (United States) (US)
Industry, innovation and infrastructure
Openalex Percentile: Top 9%
Artificial Intelligence in Healthcare
2.12
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