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Reducing Patient Waiting Time for Radiotherapy Treatments with a Genetic Algorithm

机译:减少遗传算法放射治疗治疗的患者等待时间

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Health care systems have been challenged in recent years to deliver high quality care. One of the reasons is due to limited resources. How to efficiently utilize limited resources has been and still is a research problem. A particular case is radiotherapy patient scheduling in oncology departments. The As Soon As Possible (ASAP) and Just-in-time (JIT) algorithms are commonly used scheduling approaches. However, with these approaches, it is not difficult to see that a long treatment process with an early release time will occupy most of early available time slots and thus cause short treatment processes with slightly late release times being blocked. In this paper, we apply a genetic algorithm to optimize the patient scheduling orders and explore if the patients total waiting time can be reduced. Our experimental studies indicate that using a genetic algorithm to determine a scheduling order can reduce patient total waiting time.
机译:近年来医疗保健系统受到质疑的挑战,以提供高质量的护理。 其中一个原因是资源有限。 如何有效地利用有限的资源,并且仍然是一个研究问题。 特定案例是肿瘤学部门的放射治疗患者调度。 尽快(ASAP)和即时(JIT)算法通常是常用的调度方法。 然而,通过这些方法,难以看待早期释放时间的长治疗过程将占据大部分早期可用时隙,因此导致短暂的处理过程被阻塞略微晚期释放时间。 在本文中,我们应用遗传算法来优化患者调度订单,如果可以减少患者的总等待时间,请探索。 我们的实验研究表明,使用遗传算法确定调度顺序可以减少患者的总等待时间。

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