Research Reports from Department of Electrical and Computer Engineering Provide New Insights into Engineering (Design and Simulation of an Edge Compute Architecture for IoT-Based Clinical Decision Support System).

A recent report from the Department of Electrical and Computer Engineering discusses the design and simulation of an edge compute architecture for an IoT-based clinical decision support system (CDSS). CDSS has transformed healthcare by utilizing technologies such as IoT, AI, and predictive analysis. The report highlights the drawbacks of cloud-based monitoring systems in healthcare and proposes the use of edge computing to overcome latency issues. The research demonstrates that edge computing reduces decision latency by approximately 87 times and network utilization by 1.5 times, showing its efficacy in implementing IoT-based CDSS. [Extracted from the article]