2011年某类药品和医疗器械的预测分析

Devie Ronald Lumy
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引用次数: 1

摘要

药品和医疗器械预测是对医院药品和医疗器械需求进行估计的一种努力。根据ABC分析,A类药品和医疗器械的库存数量较少,但库存价值最大。本研究旨在确定用于估计万隆伊曼纽尔医院药剂科A类药品和医疗器械需求的准确预测。本研究为回顾性资料收集的描述性研究。2011年药品和医疗器械需求预测分析采用上期平均值、季节变化和季节性指数进行趋势调整。预测分析是根据2008-2010年药品和医疗器械的消费量进行计算的。预测方法的准确性由平均绝对偏差(MAD)和均方误差(MSE)的最小值决定。对24份A类药品和医疗器械样品的分析结果显示,趋势调整法季节性指标MAD最小的样品有12份(50%),末期平均值MAD最小的样品有8份(66.67%),季节变化法MAD最小的样品有4份(16.67%)。从MSE来看,趋势调整法季节指数的MSE最小的样本有14个(58.33%),末期平均值法的MSE最小的样本有8个(66.67%),季节变化法的MSE最小的样本有2个(8.33%)。结果表明,采用趋势调整分析的季节指数较季节变化法和上期平均值法更能预测A类药品和医疗器械的需求。关键词:季节性指数趋势调整ABC分析万隆伊曼纽尔医院
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FORECASTING ANALYSIS OF PHARMACEUTICALS AND MEDICAL DEVICES IN A CATEGORY NEEDED IN 2011
Forecasting of pharmaceuticals and medical devices are an effort to estimate the needs of pharmaceuticals and medical devices in hospital. Pharmaceuticals and medical devices of class A based on ABC analysis represents a small amount in stock but has the largest inventory value. This study aimed to determine the exact forecasting that used to estimate the needs of pharmaceuticals and medical devices in class A in the Pharmacy Department Immanuel Hospital Bandung. This research was a descriptive study with retrospective data collection. Forecasting analysis of pharmaceuticals and medical devices needed used the average of last period, seasonal variation, and seasonal index with trend adjustment in 2011. Forecasting analysis was calculated based on consumtion of pharmaceuticals and medical devices in 2008-2010. Accuracy of forecasting methods were determined by the smallest value of mean absolute deviation (MAD) and mean squared error (MSE).  The results from 24 samples of pharmaceuticals and medical devices in class A showed that there were 12 samples (50%) with the smallest MAD for seasonal index with trend adjustment method, 8 samples (66.67%) with the smallest MAD values for average of last period method, and 4 samples (16.67%) with the smallest MAD for seasonal variation method. According to MSE, there were 14 samples (58.33%) with the smallest MSE value for the seasonal index with trend adjustment method, 8 samples (66.67%) with the smallest MSE value for the average of last period method, and 2 samples (8, 33%) with the smallest MSE for seasonal variation method. It can be concluded that seasonal index with trend adjustment analysis was better compared the method of seasonal variation and the average of last period to forecasting needs of pharmaceuticals and medical devices in A category. Keywords :seasonal index with trend adjustment, ABC Analysis, Immanuel Hospital Bandung
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