Title: IoT-Based Healthcare Monitoring System: Integrating Data Connectivity, Storage, Security, and Analysis.
Authors: Jenny Ebitonere Fawei, Damfebo Franklin Ayebagbalinyo, Anyalewechi Chika Juliana
Volume: 9
Issue: 11
Pages: 46-52
Publication Date: 2025/11/28
Abstract:
IoT (Internet of Things)-based healthcare monitoring systems integrate data connectivity, storage, security, and analytical techniques to enhance patient monitoring, improve data analysis, and support better clinical decision-making, ultimately leading to improved patient outcomes. This paper presents a comprehensive review of techniques in IoT-based healthcare monitoring system that addresses the critical aspects of data connectivity, storage, security, and analysis to improve patient outcomes and enhance healthcare delivery. IoT devices in healthcare collect and transmit data using various connectivity technologies such as Wi-Fi, Bluetooth, and mobile networks to continuously monitor vital signs, medication adherence, and environmental data. Also, this paper explores secure and scalable data storage solutions, including blockchain technology, to ensure the integrity, confidentiality, and availability of patient data. Additionally, the vulnerabilities and threats in IoT healthcare systems and security measures such as encryption and privacy-preserving techniques are discussed. Data analysis techniques such as descriptive analytics, diagnostic analytics, predictive analytics, and anomaly detection are also explored in this review.