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机构地区:[1]安徽中医药大学第一附属医院,安徽230031 [2]安徽财贸职业学院,安徽230071
出 处:《现代计算机(中旬刊)》2015年第8期35-38,共4页Modern Computer
基 金:安徽中医药大学临床科研基金(No.2012LC1-026B)
摘 要:临床护理教学是各教学医院的一项重要工作。目前,各医院多采用人工方式完成护理实习生排班工作,但由于实习生数量较大、进岗时间不一、实习大纲要求复杂等原因,使实习生排班工作出现工作量大、易出错、科室分配不均衡等问题。提出将随机搜索算法应用在护理实习生排班中,并从排班效率、排班正确率以及排班均衡问题上对比传统的排班方式。实验结果表明:将随机搜索算法应用于护理实习生排班中,发现排班效率、排班准确率高,而且可避免排班不均衡的问题。The clinical nursing teaching is an important task in the teaching hospitals. At present , most hospitals manually finish scheduling work of nursing interns, but with large quantities of interns, different time of punching in the post, complex requirements of guideline for intern-ship and other reasons, there are many problems existed in the scheduling work, such as heavy workload, error-prone problems, and the uneven distribution of the department. Presents the random search algorithm applied in nursing interns scheduling , and makes com-parison with traditional scheduling methods in view of the efficiency , accuracy and equilibrium of scheduling. The experimental results show that, when the random search algorithms is applied to the nursing trainee scheduling, efficiency and accuracy rate are higher, and the problem of unbalanced scheduling are avoided as well.
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