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住院药房运营生产力模型的开发。

Development of an inpatient operational pharmacy productivity model.

作者信息

Naseman Ryan W, Lopez Ben R, Forrey Ryan A, Weber Robert J, Kipp Kris M

机构信息

Ryan W. Naseman, Pharm.D., M.S., is Assistant Director of Pharmacy and Infusion; Ben R. Lopez, Pharm.D., M.S., M.H.A., is Assistant Director of Pharmacy and Infusion; and Ryan A. Forrey, Pharm.D., M.S., is Associate Director of Pharmacy and Infusion, The Ohio State University (OSU) James Cancer Center and Solove Research Institute, Columbus. Robert J. Weber, Pharm.D., M.S., is Administrator, Pharmacy Services, OSU Wexner Medical Center, and Assistant Dean, OSU College of Pharmacy, Columbus. Kris M. Kipp, M.S.N., is Executive Director, Patient Services, and Chief Nursing Officer, OSU James Cancer Hospital and Solove Research Institute.

出版信息

Am J Health Syst Pharm. 2015 Feb 1;72(3):206-11. doi: 10.2146/ajhp130803.

Abstract

PURPOSE

An innovative model for measuring the operational productivity of medication order management in inpatient settings is described.

METHODS

Order verification within a computerized prescriber order-entry system was chosen as the pharmacy workload driver. To account for inherent variability in the tasks involved in processing different types of orders, pharmaceutical products were grouped by class, and each class was assigned a time standard, or "medication complexity weight" reflecting the intensity of pharmacist and technician activities (verification of drug indication, verification of appropriate dosing, adverse-event prevention and monitoring, medication preparation, product checking, product delivery, returns processing, nurse/provider education, and problem-order resolution). The resulting "weighted verifications" (WV) model allows productivity monitoring by job function (pharmacist versus technician) to guide hiring and staffing decisions. A 9-month historical sample of verified medication orders was analyzed using the WV model, and the calculations were compared with values derived from two established models—one based on the Case Mix Index (CMI) and the other based on the proprietary Pharmacy Intensity Score (PIS).

RESULTS

Evaluation of Pearson correlation coefficients indicated that values calculated using the WV model were highly correlated with those derived from the CMI-and PIS-based models (r = 0.845 and 0.886, respectively). Relative to the comparator models, the WV model offered the advantage of less period-to-period variability.

CONCLUSION

The WV model yielded productivity data that correlated closely with values calculated using two validated workload management models. The model may be used as an alternative measure of pharmacy operational productivity.

摘要

目的

描述一种用于衡量住院环境中医嘱管理运营效率的创新模型。

方法

选择计算机化医嘱录入系统中的医嘱核查作为药房工作量驱动因素。为了考虑处理不同类型医嘱所涉及任务的固有变异性,药品按类别分组,每个类别都被赋予一个时间标准,即“药物复杂性权重”,反映药剂师和技术人员活动的强度(药物适应症核查、适当剂量核查、不良事件预防与监测、药物调配、产品核对、产品交付、退货处理、护士/医护人员教育以及问题医嘱解决)。由此产生的“加权核查”(WV)模型允许按工作职能(药剂师与技术人员)监测效率,以指导招聘和人员配置决策。使用WV模型分析了9个月的已核查医嘱历史样本,并将计算结果与从两个既定模型得出的值进行比较——一个基于病例组合指数(CMI),另一个基于专有药房强度评分(PIS)。

结果

皮尔逊相关系数评估表明,使用WV模型计算的值与基于CMI和PIS的模型得出的值高度相关(分别为r = 0.845和0.886)。相对于比较模型,WV模型具有各时间段变异性较小的优势。

结论

WV模型得出的效率数据与使用两个经过验证的工作量管理模型计算的值密切相关。该模型可用作药房运营效率的替代衡量指标。

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