IoT-BASED ICU PATIENT HEALTH CARE MONITORING SYSTEM

Electrical and Electronics Engineering

ABSTRACT The healthcare sector has seen significant advancements with the integration of Internet of Things (IoT) technology, particularly in the critical care domain. This abstract presents the conceptualization and development of an IoT-based ICU Patient Health Care Monitoring System aimed at enhancing patient care and clinical decision-making processes. The system incorporates various IoT devices such as wearable sensors, smart monitoring equipment, and embedded systems to continuously collect patient health data in real-time. The IoT-based ICU Patient Health Care Monitoring System operates by capturing vital physiological parameters including heart rate, blood pressure, respiratory rate, temperature, and oxygen saturation levels. These data are transmitted securely through wireless communication protocols to a centralized server for processing and analysis. Machine learning algorithms are employed to interpret the collected data, enabling early detection of anomalies or deterioration in the patient's health condition. Furthermore, the system provides healthcare professionals with remote access to patient health data via a user-friendly interface, facilitating timely interventions and personalized patient care plans. Additionally, alerts and notifications are generated to notify healthcare providers of any critical deviations from the baseline parameters, ensuring prompt medical attention. The implementation of the IoT-based ICU Patient Health Care Monitoring System offers several benefits, including improved patient outcomes, reduced healthcare costs, and enhanced operational efficiency within intensive care units. Moreover, the system promotes proactive healthcare management by enabling continuous monitoring and early intervention strategies. In conclusion, the development of an IoT-based ICU Patient Health Care Monitoring System represents a significant advancement in critical care technology, revolutionizing the way patient health data is collected, analyzed, and utilized to optimize clinical decision-making processes and ultimately improve patient care outcomes.

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