Design and implementation of an embedded AIOT-based home hospitalization system

Abstract

In recent years, the rise in chronic diseases among the elderly has emphasized the need for innovative healthcare solutions. The COVID-19 pandemic has further high- lighted the challenges faced by hospitals in accommodating a surge of patients while ensuring the safety of healthcare providers. To address these challenges, home hos- pitalization has emerged as a viable alternative. The Artificia lIntelligenc eo fThings (AIoT) based home hospitalization system integrates artificia lintelligence ,internet of things (IoT), sensors, and mobile/web applications to enable remote monitoring and management of patients’ health conditions. The system includes a hardware device with sensors for accurate data collection, a mobile application for patients to access health information and communicate with doctors, a web dashboard for doc- tors to manage patient data and provide personalized recommendations, and an AI model that analyze patient data and predict health conditions. The system employs a secure and reliable communication protocol for efficie ntda tatransmissio n.The primary objective of this system is to provide convenient and accessible healthcare services, particularly for the elderly and individuals with limited access to hospitals. By offerin gremot econsultation san dmonitoring ,th esyste mreduce sth enee dfor physical travel and ensures timely medical attention. The integration of AI and IoT technologies strengthens the system’s ability to support doctors in making informed decisions.