病区急救车上配备药品的品种和数量优化方案探讨 点击下载
| 论文标题： | 病区急救车上配备药品的品种和数量优化方案探讨 |
| 英文标题： | |
| 中文摘要： | 目的：探讨病区急救车上配备药品品种和数量的优化方案，以及时、准确地满足临床急救药品需求。方法：采用大数据分析法，对我院2016年5月－2017年3月（优化配备前）发生的大、中型急救的用药数据进行提取分析，计算完全满足急救需求的占比；参照相关急救药品目录确定我院急救车上配备的药品品种；对优化配备前各急救药品按单次急救使用量进行升序排列，运用四分位法，按75％分位确定急救车上各品种配备的数量；对各病区急救车上配备药品按使用频次进行降序排列，按95％累计比确定各病区急救车上应配备的品种。计算优化配备后（2017年4－7月）各病区急救时取用急救车外的品种占比并与优化配备前进行比较，验证优化方案的合理性。结果：优化配备前，我院急救车上配备的药品各病区均为8种，每种均为4支；完全满足急救需求的占比约为38％（776次/2 042次）。优化配备后，全院范围内确定了19种临床使用量最多的急救药品目录，各种药品配备数量实现了科学配备，完全满足急救需求的占比约为78％（636次/815次）；根据各科室特点，给出了个性化的急救车上配备药品的方案（包括具体品种及对应的数量），取用急救车外药品的品种占比平均值由优化配备前的46.42％降至25.51％。结论：运用大数据分析制订的优化方案能更准确地满足临床急救需求。 |
| 英文摘要： | OBJECTIVE： To investigate the optimization scheme for variety and quantity of drugs equipped in emergency medical vehicle of clinical wards in order to meet the clinical first-aid drugs needs timely and accurately. METHODS： Used with large data analysis， by analyzing the data of drug use for large-scale and medium-scale first-aid in our hospital during May 2016-Mar. 2017 （before optimization equipment）， the ratio of fully satisfied first-aid demand was calculated. The drug variety on the emergency medical vehicle of our hospital was determined according to the related first-aid drug catalogue. In addition， every drug was arranged respectively in ascending order according to the quantity used in firs-aid before optimization equipment， and then the number in 75％ quantile of each variety was determined as the target quantity using quartile method. The drugs were arranged in descending order according to use frequency in ambulance， drug variety of each ward was determined according to 95％ accumulative ratio. The ratio of drug variety outside ambulance used in first-aid was calculated after optimization （Apr.-Jul. 2017）， and then compared with before optimization equipment. The rationality of optimization scheme was validated. RESULTS： Before optimization， there were 8 drug varieties equipped in emergency medical vehicle of our hospital， and 4 injections of each variety were prepared； the ratio of fully satisfied first-aid demand was 38％ （776 times/2 042 times）. After optimization equipment， 19 kinds of first-aid drugs which used mostly were determinated in the whole hospital， and the quantities of all kinds of drugs had been equipped scientifically； the ratio of fully satisfied first-aid demand was 78％ （636 times/815 times）. According to the characteristics of each ward， a personalized scheme （including specific varieties and corresponding quantities） was made. The ratio of drug variety outside emergency medical vehicle decreased from 46.42％ to 25.51％ in average. CONCLUSIONS： The optimization scheme formulated according to large data analysis can accurately meet clinical first-aid demand. |
| 期刊： | 2018年第29卷第11期 |
| 作者： | 张崇，钟磊，赵珊珊，潘洁 |
| 英文作者： | ZHANG Chong，ZHONG Lei，ZHAO Shanshan，PAN Jie |
| 关键字： | 病区；急救车；配备药品；大数据分析；品种和数量；优化方案 |
| KEYWORDS： | Ward； Emergency medical vehicle； Drugs equipped； Large data analysis； Variety and quantity； Optimization scheme |
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