Pipeline Based Genetic Algorithm for Patient Scheduling in Hospital Outpatient Department and Laboratory

Ming-Shen Jian, Cheng-He Wang, Wei-Siou Wu, Tzu-Wei Huang
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Abstract

This research propose the pipeline based genetic algorithm for patient scheduling. The time spent in the hospital outpatient department, laboratory, and the idle time caused by the scheduling are considered. According to the subject condition, the optimal solution related to medical service time spent for the patients in different medical departments with single or multiple medical services can be found. Through the cloud computing platform, the developed algorithm can be rapidly used for different requirements from hospitals or patients.
基于流水线的遗传算法用于医院门诊部和实验室的患者排班
本研究提出了基于流水线的病人排班遗传算法。考虑了病人在医院门诊部、化验室花费的时间以及排班造成的空闲时间。根据主题条件,可以找到病人在不同医疗部门的单项或多项医疗服务所花费的医疗服务时间的最优解。通过云计算平台,所开发的算法可快速用于医院或患者的不同需求。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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