AI-Driven Cloud Software Ecosystems for Healthcare Modernization: Integrating Cyber Data Vaults, NLP, and Machine Learning for Secure Risk Mitigation
DOI:
https://doi.org/10.15662/IJARCST.2023.0606006Keywords:
AI-Driven Cloud Software Ecosystems for Healthcare Modernization, Integrating Cyber Data Vaults, NLP, Machine Learning for Secure Risk MitigationAbstract
The rapid evolution of artificial intelligence (AI) and cloud-native software ecosystems has transformed healthcare modernization by enabling intelligent automation, secure data exchange, and real-time decision-making. This paper presents a comprehensive framework for developing AI-driven cloud software ecosystems that integrate Natural Language Processing (NLP), Machine Learning (ML), and Cyber Data Vaults to ensure robust data protection, interoperability, and operational resilience. The proposed ecosystem addresses key challenges in healthcare IT modernization, such as fragmented legacy infrastructures, cybersecurity threats, and inefficient data management practices.
By leveraging cloud-native architectures, the model promotes scalability, flexibility, and zero-downtime upgrades across healthcare information systems. Cyber Data Vaults play a pivotal role in ensuring immutable, encrypted data backups for ransomware resilience and compliance with global data protection standards such as HIPAA and GDPR. Meanwhile, NLP-driven analytics enhance medical data interpretation, enabling semantic understanding of unstructured clinical narratives and improving diagnostic accuracy. Machine Learning algorithms further optimize predictive analytics for patient risk profiling, early disease detection, and adaptive decision support.
Through simulation-based evaluations and real-world deployment scenarios, this research demonstrates how an integrated AI-cloud framework can strengthen risk mitigation, improve data transparency, and foster interoperability within digital healthcare ecosystems. The paper concludes by emphasizing the strategic value of merging AI intelligence, cyber resilience, and cloud-native engineering for sustainable, secure, and patient-centric healthcare modernization.
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