Implementing six sigma management to shorten the time of taking medicine from intelligent medicine cabinet in inpatient ward

IF 1.8 Q3 PHARMACOLOGY & PHARMACY
Dan Zhao, Jie Wang, Mengting Sun, Tao Wu, Yingxin Peng
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Abstract

Background

Medication errors and delays in drug dispensing are persistent challenges in traditional pharmacy systems. Automated Dispensing Cabinets (ADCs) were introduced at the study hospital in July 2022 to improve medication safety and efficiency. However, the initial implementation phase revealed several issues, including prolonged medication retrieval times, suboptimal cabinet layout, system interface limitations, and inconsistent user operations. These challenges highlighted the need for further system optimization using a structured improvement approach.

Objective

This study aims to implement an inpatient pharmacy management system based on Six Sigma methodology and compare its effectiveness with TPS in terms of medication convenience and error reduction.

Methods

Starting in July 2022, an intelligent pharmacy management model was implemented in inpatient wards, centered around ADCs and guided by the Six Sigma methodology. Comprehensive improvements were made to address issues such as baseline medication management inefficiencies and delays in retrieving medications for temporary orders. The study compared various metrics, including the time required for retrieving medications for temporary orders, medication administration time, medication error rates before after one month of implementing the intelligent system and nurses' satisfaction with the intelligent system.

Results

Compared with the pre-implementation phase, the intelligent system significantly reduced the time required for nurses to retrieve medications and execute orders (P < 0.05). The rates of medication retrieval and administration errors also decreased (P < 0.05). A majority of nurses (86.96 %) reported that the intelligent system improved work efficiency, 92.40 % found it easier to retrieve medications during emergencies, and 97.82 % expressed high satisfaction with the system.

Conclusion

The application of an intelligent inpatient pharmacy management system based on the Six Sigma methodology effectively reduced the time nurses needed to retrieve medications, enhanced overall nurse satisfaction, lowered error rates caused by human factors.
实施六西格玛管理,缩短住院病房智能药柜取药时间
配药过程中的用药错误和延迟是传统药房系统面临的持续挑战。自动配药柜(adc)于2022年7月在研究医院引入,以提高药物安全性和效率。然而,最初的实施阶段暴露了几个问题,包括延长的药物检索时间、次优的机柜布局、系统接口限制和不一致的用户操作。这些挑战突出了使用结构化改进方法进一步优化系统的必要性。目的实施基于六西格玛方法的住院药房管理系统,并比较其与TPS在用药便捷性和减少差错方面的效果。方法自2022年7月起,在住院部实施以adc为中心,以六西格玛方法为指导的智能化药房管理模式。进行了全面改进,以解决诸如基线药物管理效率低下和为临时订单检索药物的延误等问题。该研究比较了各种指标,包括临时订单取药所需的时间、给药时间、实施智能系统一个月前的用药错误率和护士对智能系统的满意度。结果与实施前相比,智能系统显著减少了护士检索药品和执行医嘱所需的时间(P <;0.05)。药物回收率和给药错误率也有所下降(P <;0.05)。大多数护士(86.96%)反映智能系统提高了工作效率,92.40%的护士认为在紧急情况下更容易取回药品,97.82%的护士对系统表示高度满意。结论基于六西格玛方法的智能住院药房管理系统的应用,有效减少了护士取药时间,提高了护士整体满意度,降低了人为因素造成的错误率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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CiteScore
1.60
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0.00%
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103 days
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