Scalable Single Page Applications (SPAs) in a Next-Generation AI Ecosystem: A Unified Framework for Pediatric Healthcare and Intelligent Financial Operations
DOI:
https://doi.org/10.15680/IJCTECE.2025.0805009Keywords:
Single Page Applications (SPAs), Artificial Intelligence (AI), Pediatric Healthcare Technology, Financial Technology (FinTech), Predictive Analytics, Natural Language Processing (NLP), Intelligent Systems, Federated Learning, Scalable Web Architecture, Healthcare InformaticsAbstract
In the era of intelligent digital transformation, both pediatric healthcare and financial operations are experiencing unprecedented demands for personalization, real-time decision-making, and secure data handling. This paper presents a unified framework that leverages Scalable Single Page Applications (SPAs) within a next-generation AI ecosystem to address the converging technological needs of these two critical domains. By integrating SPAs with advanced artificial intelligence techniques—such as natural language processing, predictive analytics, and federated learning—we propose a modular, cloud-native architecture that supports responsive user interfaces, cross-domain interoperability, and robust data security.
The framework enables intelligent clinical support in pediatric care, including AI-driven diagnostics, symptom triage, and caregiver-facing dashboards, while also enhancing financial operations through anomaly detection, fraud prevention, and AI-assisted advisory tools. We discuss how shared architectural principles, such as microservices, data lakes, and real-time APIs, can be tailored to domain-specific requirements while maintaining scalability, compliance, and performance. Evaluation metrics focus on system responsiveness, AI accuracy, and user experience, with considerations for ethical AI deployment and data governance. This unified approach highlights the potential of SPAs and AI to drive scalable, intelligent, and secure digital ecosystems across multiple high-stakes sectors.
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