OPTIMIZING CRITICAL CARE MONITORING THROUGH ADVANCED COMPUTING ARCHITECTURE: A REAL-TIME PERFORMANCE ANALYSIS
Keywords:
Critical Care Informatics, Edge Computing, Real-time Monitoring, Healthcare Systems Architecture, Clinical Data StreamingAbstract
This article presents a novel architectural approach for optimizing latency in critical care monitoring systems through the integration of advanced computing technologies. The implemented system combines in-memory data management using Redis, strategically distributed edge processing nodes, and optimized streaming protocols to achieve significant improvements in system response times. The architecture demonstrates exceptional reliability while handling high-frequency vital sign measurements across multiple ICU beds, establishing new benchmarks for real-time medical data processing. The article provides comprehensive analysis of the system's performance metrics, architectural decisions, and their impact on clinical operations. The results indicate substantial improvements in data processing latency while maintaining system reliability, suggesting potential implications for future critical care monitoring implementations. This article contributes to the growing body of knowledge in healthcare informatics by demonstrating the effective application of modern computing architectures in clinical settings, particularly where real-time data processing is crucial for patient care.
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