Key result
IoT-enabled smart health monitoring calculates an Early Warning Score to predict deterioration and minimize hospitalizations.
Why the study?
The study was conducted to develop a system for the early prediction and detection of chronic diseases by remotely identifying physiological deterioration.
Does an IoT-enabled smart health monitoring system improve early detection of physiological deterioration in chronic disease patients?
Does an IoT-enabled smart health monitoring system improve early detection of physiological deterioration in chronic disease patients?
An IoT-based health monitoring system measuring vital signs and calculating an Early Warning Score may offer a convenient method for remote patient monitoring and early detection of deterioration.
May support remote monitoring for chronic disease; leaves open impact on hospitalizations in controlled trials.
Leveraging the capabilities of the Internet of Things (IoT) within smart healthcare services yields significant advantages, fueled by the widespread accessibility of interconnected systems worldwide. This study explores provides the early prediction and early detection of chronic diseases, culminating in the development of a chronic disease parameter measurement system. Leveraging two key technologies, IoT and IoT platform which is Thingsspeak, the system aims to enhance outcomes for chronic patients by early identification of physiological deterioration. Parameters such as Body Temperature (BT), BP(Blood Pressure) and PR (Pulse Rate) are measured and sent to the cloud via Thingspeak. Medical authorities analyze the data remotely and decide whether a patient needs to visit the hospital. Offering a convenient method for monitoring patients in their homes, the proposed system predicts chronic disease features using an Early Warning Score (EWS) derived from collected readings. The system calculates the EWS by comparing current and past data, showcasing its effectiveness in minimizing avoidable hospitalizations.
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Kale et al. (2024) studied Chronic diseases. IoT-enabled smart health monitoring system was evaluated on Early Warning Score (EWS) derived from collected readings. An IoT-enabled smart health monitoring system calculates an Early Warning Score from physiological parameters to predict chronic disease features and minimize avoidable hospitalizations.
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