Multi-cluster processing for big data methodologies using AI in cloud environments for healthcare service providers
Year: 2025
Type: article
Abstract: This article examines the integration of multi-cluster processing, big data methodologies, and artificial intelligence in cloud environments for healthcare service providers. The convergence of these technologies enables healthcare organizations to manage vast amounts of data efficiently while extracting valuable insights for improved patient care. The fundamental components of multi-cluster processing in healthcare contexts are explored, highlighting the role of AI in enhancing data analysis, examining key architectural approaches, discussing practical applications, addressing implementation challenges, and considering future directions. The results indicate that these integrated technologies are transforming healthcare delivery by enabling more accurate, personalized, and efficient patient care while maintaining compliance with regulatory requirements.
Author: Katta, Bujjibabu
Institution: Fidelity Investments (United States)
Language: English
Topic: Internet of Things and AI
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
Open Access status: hybrid
OpenAlex ID: W7090700996
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