A comparison of automated dispensing cabinet optimization methods

O'Neil, Daniel P; Miller, A. Brown; Cronin, Daniel; Hatfield, Chad

doi:10.2146/ajhp150423

Cited by 12 publications

(14 citation statements)

References 4 publications

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“…Compared to other studies mentioned,the sample size of this study is small to moderate size. (2,3) Overall the optimization process is very feasible requiring only one to two people for four hours once a week to perform the required optimization interventions for a medical center with 40-50 ADCs. This means that pharmacy technicians can easily allocate time once a week or incorporate the optimization process into the regular pharmacy workflow.…”

Section: Discussionmentioning

confidence: 99%

“…The second study by O'Neil et al 2016, was a small prospective study that yielded modest improvements in vend/fill ratio but performed optimization on only eight nonprofiled ADCs over a 6-month period. (3) This study aims to determine the feasibility and potential benefits associated with improving ADC management through improved inventory oversight and generalizability by providing a longer period of optimization of ADCs in more patient care areas. We hypothesize that the systematic management and oversight of ADC inventory will demonstrate a significant improvement in key performance indicators and provide insight to the current gaps in knowledge.…”

Section: Introductionmentioning

confidence: 99%

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Automated Dispensing Cabinet Optimization in a Level 2 Trauma Center

She

2021

J Contemp Pharm Pract

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Introduction Opportunities have been identified regarding timely delivery of medications due to lack of ADC inventory related to stock outs or other variances in pharmacy workflow (i.e. compounding and distribution times). These opportunities for improvement impact patient care and result in both nursing and pharmacy staff frustration. Additionally, there are significant costs associated with unused medications stored in ADCs, taking up valuable real estate that would otherwise house more opportune inventory. This situation has created a need for more efficient management of the ADC inventory. Currently, research in the topic area is sparse. We hypothesize that the systematic management and oversight of ADC inventory will demonstrate a significant improvement in key performance indicators and provide insight to the current gaps in knowledge. Methods This study will be a continuous quality improvement project with a combination of retrospective data review and prospective optimization interventions of automated dispensing cabinets (Pyxis®). Interventions include review and adjustment of ADC par levels, removal of unused/stagnate medications, standardization of stock, and continual review of ADC inventory turns and associated optimization opportunities. The primary outcomes are the change in vend/fill ratio from baseline, change in medication stockout percentage from baseline. Results There was no significant difference in vend/fill ratio after the optimization phase compared with baseline [Difference 0.13 (11.56 ± 6.1 vs. 11.43 ± 5.41) respectively, (p=0.84)]. Medication stockout percentage was also found to be similar with baseline [Difference -0.05 (0.71% ± 0.12 vs. 0.76% ± 0.08) respectively, (p=0.37)]. For secondary outcomes, the change in blind stockout percentage from baseline was -0.04 [0.13 ± 0.02 vs. 0.17 ± 0.02, (p=0.004)] and the change in medications dispensed per day from baseline was 317 [2656 ± 143 vs. 2339 ± 200, (p=0.0002)]. Conclusion Optimization of automated dispensing cabinets yielded marginal improvements in vend/fill ratio and stockout percentage and significantly improved overall efficiency through an increase in the number of medications stocked in ADCs and number of medications dispensed per day from ADCs. Evaluation of more clinically significant performance indicators may better characterize the benefits from the optimization process.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Automated Dispensing Cabinet Optimization in a Level 2 Trauma Center

She

2021

J Contemp Pharm Pract

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“…Data can also be used to note trends in medication use hospital-wide and increase or reduce stock levels accordingly. 14,15 Programmes can be designed to convert inventory levels from robots and ADCs into imprest orders, saving time and paper in comparison to manual ordering. 16 It is possible that the 39% of FPs who positively responded that budgets will be increased for solutions to reduce waste are already utilising the data from their current pharmacy automation (Figure 1, Item 7).…”

Section: Summary Of Responsesmentioning

confidence: 99%

“…For example, reporting on medications expiring within a particular future timeframe can be used to redistribute medications from low‐ to high‐use areas. Data can also be used to note trends in medication use hospital‐wide and increase or reduce stock levels accordingly 14, 15 . Programmes can be designed to convert inventory levels from robots and ADCs into imprest orders, saving time and paper in comparison to manual ordering 16 …”

Section: Theme 1 — Environmental Sustainabilitymentioning

confidence: 99%

Pharmacy Forecast Australia 2022: key findings

Levy

2022

Pharmacy Practice and Res

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“…Bu sistemler merkezde tablet paketlemesi yapanlar ve hastanın bulunduğu serviste otomatik ilaç dağıtımı sağlayan sistemler olarak ikiye ayrılabilir. 4,5 Yakın zamanda Amerika'da yapılan bir çalışmada ülke çapında hastane eczanelerinde otomatik ilaç dağıtma makinelerinin kullanılma oranı %97olarak bulunmuştur. Bu sistemlerin tümünde aciller ve girişimsel işlemler dışında, ilaç istemlerinin hepsi eczacı tarafından gözden geçirilip onaylanmakta ve ona göre hastaya dağıtılması sağlanmaktadır.…”

Section: Introductionunclassified

Tam Otomatik Tablet Paketleme Sistemi: Kocaeli Araştırma ve Uygulama Hastanesi Deneyimi

Yirmibesoglu

Başyiğit

ASILİSKENDER

et al. 2022

Kocaeli Üniversitesi Sağlık Bilimleri Dergisi

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Hastanelerde ilaç uygulama hatalarının önlenmesi için otomatik ilaç dağıtım sistemlerinin kullanılması önerilmektedir. Bu çalışmanın amacı, hasta adına ilaç uygulama imkanı veren otomatik tablet paketleme sistemi kullanımı konusunda deneyimlerin paylaşılmasıdır. Yöntem: Hastane Eczanesinde cihazın temin edilmesini takiben sistem ile entegre edilmiş ve ilaçlar hasta bazlı olarak dağıtılmaya başlanmıştır. Bu süreçte karşılaşılan güçlükler, uygulamanın avantaj ve dezavantajları, hemşire ve eczacı memnuniyet düzeyleri ve ilaç uygulama hata oranları belirlenmiştir. Bulgular: Bir yıllık kullanım süresince aylık ortalama 36000 tablet paketlenerek hasta bazında iletilmiştir. Tabletlerin de-blister edilerek sistemde kanisterlere yerleştirilmesi uygulamanın en zaman alan süreci olarak belirlenmiştir. Sistemin eczacı ve hemşireler arasında hastaya ilaç uygulama açısından memnuniyet düzeylerini arttırdığı, ilaç israfı ve ilaç uygulama hatalarını azalttığı (ortalama 2,3 hata/ay) görülmüştür. Sonuç: Tam otomatik tablet paketleme sisteminin, hastane eczanelerinde güvenle kullanılabilen, ilaç uygulama hatalarını azaltan ve sağlık personeli açısından kullanım ve uygulama kolaylığı sağlayan bir sistem olduğu düşünülmektedir.

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A comparison of automated dispensing cabinet optimization methods

Abstract: ADC optimization via a standard inventory formula had a positive impact on inventory costs, refills, vend:fill ratios, and stockout percentages.

Cited by 12 publications

References 4 publications

Automated Dispensing Cabinet Optimization in a Level 2 Trauma Center

Automated Dispensing Cabinet Optimization in a Level 2 Trauma Center

Pharmacy Forecast Australia 2022: key findings

Tam Otomatik Tablet Paketleme Sistemi: Kocaeli Araştırma ve Uygulama Hastanesi Deneyimi

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