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Optimization of Nurse Numbers in Emergency Department of a District Hospital in a Developing Country Iran, 2014

机译:伊朗发展中国家发展中国家地区医院急诊科护士人数的优化,2014年

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Background: this study aims to optimize nurse numbers in emergency department of a district hospital in Iran using linear programming.Material and methods: through observation and checklist data about average patient arrival, delivery time of care services needed for patients and number of nurses were obtained. Using linear programming optimum number of nurse needed for right delivery of services was calculated.Results: optimum number of nurses was calculated as 12 nurses, but because of some issues in 3rd shift, real number of nurses needed for a 24 hours period is equal to 16 (12+4) nurses (12 as minimum needed plus nurses who stay and don’t leave the 3rd shift till tomorrow morning).Conclusion: Using LP models can be useful for estimating optimum number of nurses for different wards of hospitals, so they can reduce their costs and reach more productivity.
机译:背景:本研究旨在通过线性规划优化伊朗某地区医院急诊科的护士人数。材料和方法:通过观察和平均就诊人数的清单数据,获得患者所需的护理服务时间和护士人数。使用线性规划,可以计算出正确提供服务所需的最佳护士人数。结果:计算出的最佳护士人数为12名护士,但由于三班制中的某些问题,24小时内实际需要的护士人数等于16(12 + 4)名护士(最少需要12名护士,以及直到明天早上不离开​​三班制的护士)。结论:使用LP模型有助于估计不同病房的最佳护士人数,因此他们可以降低成本并提高生产率。

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