Design and Implementation of a LoRa-Based Remote Health Monitoring System with Emergency Alert Capabilities

Saving human lives is essential in the field of medical science. Engineering technologies support to achieve this goal. This article explores the integration of Internet of Things and LoRa technology in hospital wristbands to enhance patient care and streamline healthcare operations. The proposed system employs Arduino Pro Mini microcontrollers and LoRa1276 in the LoRa enabled Patient Wrist Band Module (LPWM) to facilitate real-time monitoring of patient vital signs, such as temperature and pulse. The acquired data is transmitted wirelessly to a central nursing station. In the nursing station, a Raspberry Pi equipped with a LoRa receiver device consolidates and displays the data. Grey Wolf Optimization algorithm is used in Raspberry Pi to prioritize patient care based on predefined parameters. The integration of Explainable AI in the receiver module enhances the transparency and trustworthiness of AI-driven recommendations. This supports personalized patient care. This comprehensive approach aims to bridge the healthcare gap in ensuring efficient resource allocation and improved patient outcomes through advanced technological solutions.