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Smart healthcare is an integrated health service model that combines pervasive sensing, wireless communication, cloud computing, and intelligent data analytics to deliver continuous, personalized, and context-aware medical monitoring and diagnostic support. The architecture is characterized by a layered system of wearable and implantable sensors that acquire physiological signals, a network layer that transmits data over the Internet of Things, and a service layer that processes information through artificial intelligence algorithms to generate clinical insights ^[1]. The concept distinguishes itself from traditional telemedicine by the autonomous, predictive, and adaptive nature of its data processing: rather than simply relaying patient information to a remote clinician, smart healthcare systems interpret signals in real time, detect anomalies, and recommend interventions based on learned patient patterns. The data flow spans vital-sign monitoring, medication adherence tracking, sleep and activity analysis, and chronic disease management, all coordinated through an Internet of Medical Things infrastructure that connects devices, electronic health records, and clinical decision support engines ^[2]. The defining technical principle is the fusion of multi-modal physiological streams with contextual metadata to construct a computational model of patient state that supports both reactive monitoring and proactive risk stratification ^[3].