A Meta-Analysis of the Role of Serverless Computing Models in Modern e-Healthcare Systems

Year : 2025 | Volume : 12 | Issue : 03 | Page : 49 58
    By

    P. Devi Sravanthi,

  • Manas Kumar Yogi,

  1. Assistant Professor, Department of Artificial Intelligence, Pragati Engineering College (Autonomous), Surampalem, Andhra Pradesh, India
  2. Assistant Professor, Department of Computer Science and Engineering, Pragati Engineering College (Autonomous), Surampalem, Andhra Pradesh, India

Abstract

The integration of serverless computing models in e-healthcare systems represents a paradigm shift in healthcare technology infrastructure. This meta-analysis examines the role, benefits, and challenges of serverless architectures in modern healthcare applications, focusing on studies published between 2019 and 2025. Serverless computing offers unprecedented scalability, cost-efficiency, and operational flexibility, making it particularly suited for healthcare applications handling variable workloads such as medical imaging processing, real-time patient monitoring, and electronic health record management. Through systematic analysis of 22 peer-reviewed sources, this review identifies key implementation patterns, performance metrics, and security considerations specific to healthcare contexts. The findings reveal that serverless models significantly reduce infrastructure overhead while enhancing system responsiveness and enabling rapid deployment of healthcare services. However, challenges including cold start latency, vendor lock-in, and regulatory compliance complexities require careful consideration. This review provides healthcare IT professionals and researchers with comprehensive insights into leveraging serverless computing for building resilient, scalable, and cost-effective e-healthcare solutions.

Keywords: Serverless computing, e-healthcare, cloud computing, FAAS, healthcare information systems, medical data processing

[This article belongs to Recent Trends in Parallel Computing ]

How to cite this article:
P. Devi Sravanthi, Manas Kumar Yogi. A Meta-Analysis of the Role of Serverless Computing Models in Modern e-Healthcare Systems. Recent Trends in Parallel Computing. 2025; 12(03):49-58.
How to cite this URL:
P. Devi Sravanthi, Manas Kumar Yogi. A Meta-Analysis of the Role of Serverless Computing Models in Modern e-Healthcare Systems. Recent Trends in Parallel Computing. 2025; 12(03):49-58. Available from: https://journals.stmjournals.com/rtpc/article=2025/view=232649


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Regular Issue Subscription Review Article
Volume 12
Issue 03
Received 17/10/2025
Accepted 25/10/2025
Published 30/10/2025
Publication Time 13 Days
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