Abstract：
The application of personalized medicine in developing countries is a major challenge, especially for those with poor economic status. A critical factor in improving the application of personalized medicine is the efficient allocation of resources. In healthcare systems, optimizing resource allocation without compromising patient care is paramount. This tutorial employs a simulation-based approach to evaluate the efficiency of bed allocation within a hospital setting. Utilizing a patient arrival model with an exponential distribution, we simulated patient trajectories to examine system bottlenecks, particularly focusing on waiting times. Initial simulations painted a scenario of an \'unstable\' system, where waiting times and queue lengths surged due to the limited number of available beds. This research offers insights for hospital management on resource optimization leading to improved patient care.
[Box: see text].
[Box: see text].
摘要：
个性化医疗在发展中国家的应用是一个重大挑战,尤其是那些经济状况较差的人。提高个性化医疗应用的关键因素是资源的有效配置。在医疗保健系统中，在不影响患者护理的情况下优化资源分配至关重要。本教程采用基于模拟的方法来评估医院环境中床位分配的效率。利用指数分布的患者到达模型，我们模拟了患者的轨迹来检查系统瓶颈，特别关注等待时间。初始模拟描绘了一个“不稳定”系统的场景，由于可用床位数量有限，等待时间和队列长度激增。这项研究为医院管理提供了有关资源优化的见解，从而改善了患者护理。
[方框：见正文]。
[方框：见正文]。
