Abstract: Mass gatherings such as Hajj and Umrah, along with pandemic outbreaks, place a significant strain on healthcare systems, particularly respiratory therapy (RT) services, where shortages of respiratory therapists, ventilators, and specialized equipment can compromise emergency response due to increased patient volume, environmental exposure, and heightened risk of respiratory diseases. This study presents a conceptual model of a mobile-based resource coordination system designed to enhance emergency preparedness and response for respiratory therapy services during pandemics and mass-gathering events, such as Hajj and Umrah. The proposed system integrates a real-time database with mobile clinical decision support to provide RT managers and supervisors with centralized visibility of ventilators, staffing levels, and critical respiratory equipment across healthcare facilities. By enabling real-time monitoring and predictive, alert-driven decision support, the system aims to support proactive resource allocation, staff deployment, and equipment distribution. Although the work is conceptual and does not include empirical evaluation, it provides a well-defined architectural framework suitable for future implementation that aligns respiratory care workflows with real-time monitoring and forecast-driven decision support in settings such as Hajj, Umrah, and large-scale public health emergencies.

Rahaf Katib. “Improving Emergency Preparedness with a Mobile Application for Respiratory Therapy Resource Coordination”. International Journal of Advanced Computer Science and Applications (IJACSA) 16.12 (2025). http://dx.doi.org/10.14569/IJACSA.2025.0161204

@article{Katib2025,
title = {Improving Emergency Preparedness with a Mobile Application for Respiratory Therapy Resource Coordination},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2025.0161204},
url = {http://dx.doi.org/10.14569/IJACSA.2025.0161204},
year = {2025},
publisher = {The Science and Information Organization},
volume = {16},
number = {12},
author = {Rahaf Katib}
}