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在精准医学时代改进资源分配:基于 R 的模拟方法。

Improving resource allocation in the precision medicine Era: a simulation-based approach using R.

机构信息

Research Department, Children's Cancer Hospital Egypt, 57357, Cairo, Egypt.

Department of Pharmaceutical Services, Children's Cancer Hospital Egypt, 57357, Cairo, Egypt.

出版信息

Per Med. 2024;21(3):151-161. doi: 10.1080/17410541.2024.2341606. Epub 2024 May 16.

DOI:10.1080/17410541.2024.2341606
PMID:39051663
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.

摘要

个性化医疗在发展中国家的应用是一个重大挑战,尤其是对那些经济状况较差的国家而言。提高个性化医疗应用水平的关键因素是资源的有效分配。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。我们利用具有指数分布的患者到达模型来模拟患者轨迹,以检查系统瓶颈,特别是关注等待时间。初步模拟描绘了一个“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急剧增加。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。

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