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Real-time doctor-patient assignment in a telemedicine system

机译:远程医疗系统中的实时医患分配

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The aim of this paper is to address and overcome the limitation in number of doctors by assigning patients efficiently in Telemedicine System. In this paper, we present mathematical formulation and an algorithm to address the problem of effective and resourceful mapping between patients and doctors for online Telemedicine System so that overall patient wait time can be minimized. Our proposed algorithm is based on providing efficient allocation of patients to doctors considering two primary factors i.e. patient handling time and workload (queue size) of doctor. We compare our algorithm with baseline algorithm (Round Robin) and calculate percentile average difference of the mean average time of both with constraints of limited, moderate and maximum availability of resources under the observation in variation of patient handling time. Our simulation based evaluation shows increase in efficiency from 0.0% in worst case to 110.84% in best case when compared with Round Robin. Therefore our proposed algorithm can help to improve doctor's efficiency and minimize patient wait time. The improvement in the assigning patients to doctors in efficient way yields to effective resource utilization of scarce health resources.
机译:本文的目的是通过在远程医疗系统中有效分配患者来解决和克服医生人数的局限性。在本文中,我们提出了数学公式和一种算法,以解决在线远程医疗系统在患者和医生之间进行有效且资源丰富的映射的问题,从而可以使总体患者等待时间最小化。我们提出的算法基于考虑两个主要因素(即患者的处理时间和医生的工作量(队列大小))为医生提供有效的患者分配。我们将我们的算法与基线算法(Round Robin)进行比较,并在观察患者处理时间变化的情况下,计算两者的平均平均时间的百分位数平均差,并限制资源的有限,中等和最大可用性。我们的基于仿真的评估表明,与Round Robin相比,效率从最坏情况下的0.0%提高到最佳情况下的110.84%。因此,我们提出的算法可以帮助提高医生的效率并最大程度地减少患者的等待时间。有效地将患者分配给医生的改进带来了对稀缺医疗资源的有效资源利用。

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