Integrating Network Function Virtualization and Zero-Downtime BMS Upgrades: A Transparent and Resilient Framework for AI-Enabled Healthcare

Aurelia Sofia Van Den Berg

doi:10.15662/IJRAI.2025.0805002

Authors

Aurelia Sofia Van Den Berg Healthcare Informatics Manager, Benelux Smart Health, South Holland, Netherlands Author

DOI:

https://doi.org/10.15662/IJRAI.2025.0805002

Keywords:

AI-Enabled Healthcare, NFV, Cloud-Native Architecture, Predictive Analytics, Healthcare Security, Resilient IT Infrastructure, Network Function Virtualization (NFV), Zero-Downtime Upgrades, Building Management Systems (BMS)

Abstract

The increasing complexity of healthcare IT infrastructure demands scalable, secure, and continuously available systems capable of supporting real-time clinical decision-making. This paper presents a transparent and resilient framework that integrates Network Function Virtualization (NFV) with Zero-Downtime Building Management System (BMS) upgrades, enabling uninterrupted healthcare operations within AI-enabled environments. The proposed architecture leverages cloud-native orchestration, microservices, and deep learning models to ensure seamless interoperability between medical IoT devices, data centers, and intelligent hospital networks. Through dynamic resource allocation and predictive fault management, the framework minimizes system latency and eliminates service interruptions during BMS updates. Additionally, AI-driven analytics are employed to monitor system integrity, detect anomalies, and maintain compliance with healthcare data governance and privacy standards. Experimental evaluations on simulated hospital networks demonstrate improvements in system reliability, transparency, and operational resilience, contributing to a sustainable model for next-generation healthcare modernization.

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