Design and Implementation of an IoT-Based Patient Monitoring System for Comprehensive Vital Tracking and Secure Data Access

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Abstract

The healthcare industry is undergoing a transformation driven by technological advancements, and the integration of Internet of Things (IoT) devices into patient care has emerged as a promising solution. This report presents the design and implementation of an IoT-based Patient Monitoring System (PMS) that offers comprehensive vital tracking and ensures secure data access for healthcare providers and patients. The IoTbased PMS comprises a network of wearable and non-invasive sensors that continuously collect real-time data on patients' vital signs, including heart rate, blood pressure, body temperature, and oxygen saturation. This data is transmitted securely to a centralized cloud platform via a robust and encrypted communication protocol. The cloud platform acts as the central hub for data storage and processing. One of the key features of the system is its comprehensive vital tracking capabilities, which enable healthcare providers to monitor patients' health conditions with a high level of granularity. Secure data access is ensured through strong authentication mechanisms and data encryption, adhering to strict privacy regulations and standards. Robust access control mechanisms and encryption techniques are implemented to safeguard sensitive patient information. This report also addresses the technical aspects of system implementation, including hardware and software components, communication protocols, and database design. The system's scalability and reliability are discussed to accommodate varying healthcare settings and patient populations. The IoT-based Patient Monitoring System presented in this report represents a significant step toward enhancing patient care by providing comprehensive vital tracking and secure data access.

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Keywords

Healthcare industry, technological advancements, Internet of Things (IoT), patient care, Patient Monitoring System (PMS), vital tracking, wearable sensors, noninvasive sensors, database design, scalability, reliability, patient care enhancement.