Eldera: Intelligent Elderly Care and Assistant App

Abstract

The rapid growth of the elderly population presents significant challenges in healthcare access, emergency response, medication adherence, and social participation, particularly in local communities in the Philippines. Many elderly individuals experience difficulty managing daily health needs, responding to emergencies, and staying informed about government benefits and barangay services. This study aimed to design, develop, and evaluate ELDERA: Intelligent Elderly Care and Assistant App, a mobile-based application that enhances elderly care through health monitoring, emergency response, and community engagement. The study utilized the Agile Scrum software development methodology to guide the iterative planning, development, testing, and evaluation of the system. The application combines features such as emergency alert notifications, medication scheduling, health monitoring support, community announcements, digital application templates, an AI-powered assistant, and GeoFence-based location tracking. Usability and effectiveness of the system were assessed using the System Usability Scale (SUS). Findings revealed that the system achieved an overall SUS score of 80.75, which is descriptively rated as "Good" and interpreted as "Usable." The study concluded that Eldera is an intuitive, accessible, and practical digital solution that strengthens elderly care, encourages community involvement, and enhances the overall well-being and safety of elderly individuals within the community.