Empowering IoT Healthcare Solutions with Enhanced Flexibility and Efficiency

Abstract

This research proposes a architecture called HealthDash for developing Internet of Things (IoT) solutions in healthcare. The main Aim of this research is to over come the complexity problems in creating and keeping up with computational health solutions with increased flexibility, where scenarios are often complex and dynamic. HealthDash aims to unify technologies at both the fog and cloud layers, providing dynamism in creating IoT applications and reducing data transmission between these layers. To specify which layer (fog or cloud) data flows will be executed, the suggested approach makes use of the data flow-oriented programming paradigm, empowers IoT healthcare solutions with greater flexibility, efficiency,and privacy.The architecture aims to simplify the creation and maintenance of computational solutions in the complex and dynamic healthcare domain. HealthDash is designed to address challenges such as low latency, data transmission efficiency, and privacy concerns in remote patient monitoring scenarios.Enabling dynamic creation of IoT applications in both fog and cloud layers. Reducing data transmission between fog and cloud layers. Utilizing a unified data flow-oriented programming paradigm.