Design and Evaluation of an Interactive Mobile Application Platform for Elderly Care and Support
DOI:
https://doi.org/10.33003/fjs-2026-1012-4925Keywords:
Health Monitoring, Healthcare delivery, mobile application, Elderly care, Database designAbstract
This study presents the development of a Mobile-Based Health Monitoring System (M-HMSE) designed to enhance real-time healthcare delivery for the elderly in rural areas. The system incorporates mobile functionality and a NoSQL database (MongoDB) to develop a system that enables users to register and track their health outcomes. The key modules of the system include the ability to register patients and caregivers, manage hospital and doctor information, profile diseases, and generate personalized recommendations. The user interface was developed in Java and Eclipse, enabling seamless interaction between healthcare providers and patients. Database architecture enables the effective storage and retrieval of data, thereby enhancing the system's scalability and performance. The mobile-based system enables efficient medical care and support for the elderly, ensuring proactive, technology-driven healthcare. The interactive mobile application platform utilizes remote monitoring and intelligent diagnosis assistance, thereby contributing to improved medical outcomes. The deployment of the system demonstrated its ability to deliver alerts and monitor the vital signs of elderly individuals, as well as its potential for large-scale health monitoring.
References
Al-Aubidy, K. M., Derbas, A. M., & Al-Mutairi, A. W. (2017). Real-time healthcare monitoring system using wireless sensor network. International Journal of Digital Signals and Smart Systems, 1(1), 26–42. https://www.philadelphia.edu.jo/academics/kaubaidy/uploads/IJDSSS.pdf
Anikwe, C. V., Nweke, H. F., Ikegwu, A. C., & Ndukwe, O. E. (2025). Deploying machine learning methods for health monitoring and cardiovascular disease prediction. Journal of Basics and Applied Sciences Research, 3(3), 132–143. https://dx.doi.org/10.4314/jobasr.v3i3.15
Benoy, S. (2023). Wireless sensor networks for healthcare monitoring: Challenges and opportunities. Journal of Biomedical Systems & Emerging Technologies, 10(2), 163. https://www.hilarispublisher.com/open-access/wireless-sensor-networks-for-healthcare-monitoring-challenges-and-opportunities-98539.html
Chinonso, E. A., Okemiri, H. A., & Anikwe, C. V. (2021). Vehicle monitoring system based on IoT, using 4G/LTE. International Journal of Engineering and Management Research, 11(4), 6–14. https://ssrn.com/abstract=3902487
Choudhary, A. (2024). Internet of Things: A comprehensive overview, architectures, applications, simulation tools, challenges and future directions. Discover Internet of Things, 4(31). https://doi.org/10.1007/s43926-024-00084-3
de Souza Ferreira, E., de Oliveira, A. H. M., Dias, M. A., et al. (2024). Mobile solution and chronic diseases: Development and implementation of a mobile application and digital platform for monitoring and managing health care. BMC Health Services Research, 24, Article 1009. https://doi.org/10.1186/s12913-024-11505-y
Goel, A., & Taneja, U. (2023). Mobile health applications for health-care delivery: Trends, opportunities, and challenges. Journal of Public Health. https://doi.org/10.1007/s10389-023-02165-z
Hong, W. (2024). Advances and opportunities of mobile health in the postpandemic era: Smartphonization of wearable devices and wearable deviceization of smartphones. JMIR mHealth and uHealth, 12(1), e48803. https://doi.org/10.2196/48803
Kumar, D., Hasan, Y., & Afroz, S. (2023). Mobile health monitoring system: A comprehensive review. International Journal of Research Publication and Reviews, 4(6), 1922–1954. https://doi.org/10.55248/gengpi.4.623.45128
Mansour, M., Gamal, A., Ahmed, A. I., Said, L. A., Elbaz, A., Herencsar, N., & Soltan, A. (2023). Internet of Things: A comprehensive overview on protocols, architectures, technologies, simulation tools, and future directions. Energies, 16(8), 3465. https://doi.org/10.3390/en16083465
Marino, M. M., Rienzo, M., Serra, N., Marino, N., Ricciotti, R., Mazzariello, L., Leonetti, C. A., Ceraldi, M. P., Casamassimi, A., Capocelli, F., Martone, G., & Caracciolo, A. L. (2019). Mobile screening units for the early detection of breast cancer and cardiovascular disease: A pilot telemedicine study in Southern Italy. Telemedicine and e-Health, 25(4), 287–294. https://doi.org/10.1089/tmj.2018.0328
Mor, M. (2025). The biomedical industry steps into the era of personalized healthcare. CTech. https://www.calcalistech.com/ctechnews/article/skk61uxdkg
Mukherjee, M. (2016). Object-Oriented Analysis and Design. International Journal of Advanced
engineering and management, 1(1), 18-24. https://dx.doi.org/10.24999/IJOAEM/01010003
Nweke, H. F., Ikegwu, A. C., Nwafor, C. A., and Ogbaga, I. N. (2024). Smartphone-based
human activity recognition using Artificial Intelligence Methods and Orientation Invariant Features. Nigeria Computer Society: International Conference on Technological Solutions for Smart Economy, SmartEco2024, vol. 35, pp. 1–8, 2024. https://library.ncs.org.ng/download/smartphone-based-human-activity-recognition-using-artificial-intelligence-methods-and-orientation-invariant-features/
Puertos, E. (2025, February 27). Monitoring health and safety in the workplace: Best practices for ensuring compliance and employee well-being. Sustainable Business Toolkit. https://www.sustainablebusinesstoolkit.com/monitoring-health-and-safety-in-the-workplace/
Rahayu, D., Hilman, A., Susanto, B., & Nugraha, Y. (2021). Design of E-Rent System with an
Object-Oriented Analysis and Design Method (Case Study at PT XYZ Rent). RISTEC: Research in Information Systems and Technology, 2(2), 85-101. https://journal.institutpendidikan.ac.id/index.php/ristec/article/view/92
Shiwani, M. A., Chico, T. J. A., Ciravegna, F., & Mihaylova, L. (2023). Continuous monitoring of health and mobility indicators in patients with cardiovascular disease: A review of recent technologies. Sensors, 23(12), 5752. https://doi.org/10.3390/s23125752
Siddiqui, S., Khan, A. A., Khattak, M. A. K., & Sosan, R. (2025). Mobile health (m-Health). In Connected Health Insights for Sustainable Development (pp. 51–68). Springer. https://doi.org/10.1007/978-3-031-81433-4_4
Thacharodi, A., Singh, P., Ahmed, Z. H. T., Kumar, R. R. S., Maqbool, M., Hassan, S., Meenatchi, R., & Neha, V. (2024). Revolutionizing healthcare and medicine: The impact of modern technologies for a healthier future—A comprehensive review. Health Care Science, 3(2), 329–349. https://doi.org/10.1002/hcs2.115
WTW. (2024). The global healthcare cost surge: Challenges and implications. HealthManagement.org. https://healthmanagement.org/c/hospital/News/the-global-healthcare-cost-surge-challenges-and-implications
Yuvaraja, M., Ramesh, R., Priya, R., & Dhanasekar, J. (2024). Wireless body sensor networks for real-time healthcare monitoring: A cost-effective and energy-efficient approach. Angiotherapy, 8(7), 1–13. https://doi.org/10.25163/angiotherapy.879796
Downloads
Published
Issue
Section
Categories
License
Copyright (c) 2026 Henry Friday Nweke, Chioma Virginia Anikwe-Onyiwa, Ignatius Nwoyibe Ogbaga
This work is licensed under a Creative Commons Attribution 4.0 International License.
