Alrabghi Abdullah, Tameem Abdullah
Department of Industrial and Systems Engineering, University of Jeddah, Jeddah, Saudi Arabia.
Department of Industrial Engineering, Jeddah International College, Jeddah, Saudi Arabia.
J Multidiscip Healthc. 2025 Jun 9;18:3321-3330. doi: 10.2147/JMDH.S524619. eCollection 2025.
The COVID-19 pandemic has challenged healthcare systems globally, testing their resilience due to sudden fluctuations in confirmed cases, intensive care unit utilization, and medical team availability. These dynamics forced healthcare facilities to continuously adapt their operational plans.
This research conducts a comprehensive review of published changes implemented by various healthcare facilities in response to the pandemic.
The study provides new insights into enabling healthcare agility during pandemics such as COVID-19. A decision-making framework is proposed to assist hospital management in exploring and selecting appropriate alternatives, allowing faster adaptation in dynamic environments.
The framework can be tailored to each hospital's unique characteristics and the prevailing epidemiological situation. Future research could explore the use of simulation to automate the development of dynamic operational plans based on pre-selected criteria, further enhancing healthcare responsiveness.
新冠疫情给全球医疗系统带来了挑战,由于确诊病例、重症监护病房使用率和医疗团队可用性的突然波动,考验了它们的恢复能力。这些动态因素迫使医疗机构不断调整其运营计划。
本研究对各医疗机构为应对疫情而实施的已公布变化进行了全面回顾。
该研究为在新冠疫情等大流行期间实现医疗敏捷性提供了新见解。提出了一个决策框架,以协助医院管理层探索和选择合适的替代方案,从而在动态环境中实现更快的适应。
该框架可根据每家医院的独特特征和当前的流行病学情况进行调整。未来的研究可以探索使用模拟来根据预先选定的标准自动制定动态运营计划,进一步提高医疗响应能力。