Scheduling medical tests: A solution to the problem of overcrowding in a hospital emergency department

D. Lin, F. Labeau, Xidong Zhang, Guixia Kang
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Abstract

To improve the performance of hospital emergency department (ED), we propose a scheduling strategy to reduce the total time of medical tests in ED for a given number of patients. We model the schedulig strategy as a constraint logic programming problem, and then solve this problem with an open source software: Minizinc. Also we compare the medical test time with the scheduling strategy and that without scheduling, which is viewed as a benchmark for our proposed scheduling strategy. The results show that the scheduling strategy can save 12%-25% of medical test time.
安排医疗检查:解决医院急诊科人满为患的问题
为了提高医院急诊科(ED)的绩效,我们提出了一种调度策略,以减少一定数量的患者在急诊科的医学检查总时间。我们将调度策略建模为约束逻辑编程问题,然后使用开源软件Minizinc来解决这个问题。并对有调度策略和无调度策略下的医学测试时间进行了比较,作为我们提出的调度策略的基准。结果表明,该调度策略可节省12% ~ 25%的医学检测时间。
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