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Updated: Feb 5, 2026

A Novel Approach for the Administration of Medications and Fluids in Emergency Scenarios and Settings
Published on: November 9, 2016
Improved Arrangement and Capacity for Medication Transactions: A Pilot Study to Determine the Impact of New
Matthew Kelm1, Udobi Campbell1
1Duke University Hospital, Durham, NC, USA.
Abstract:
Purpose: A new-generation automated dispensing cabinet (ADC) deployment is described. Methods: A single-center retrospective-prospective pilot product performance study was conducted, and prospective nurse satisfaction survey and pharmacy technician product performance feedback survey were performed to determine the impact of new technology on medication storage and accessibility. The study measured efficiency of the 9:00 am medication pull for nursing users, assessment of nursing perceptions of medication administration pre- and postinstallation of the cabinetry, pharmacy technician perceptions of working with the cabinetry, and assessment of the efficiency of the pharmacy technician restock process. Results: In total, 2981 total nursing medication retrieval processes for the 9 am standard medication administration time (SMAT) time were analyzed: 1321 in the preoptimization phase and 1660 in the postoptimization phase. Analysis of the mean time per transaction confirmed a significant improvement from 10.5 to 10.3 seconds per transaction (P = .026) in the postoptimization configuration. The modified assessment of nursing satisfaction survey demonstrated increased satisfaction with many aspects of the new-generation cabinetry. Pharmacy technician survey data highlighted beneficial aspects of the device, while restock data showed an increase in the time spent restocking the cabinet from 11.5 seconds in the preoptimization phase compared with 21.3 seconds in the postoptimization phase (P < .0001). Conclusion: ADC installation and inventory optimization had a statistically significant improvement in the mean time per nursing transaction. Nursing and pharmacy technician surveys demonstrated a trend of enhanced satisfaction with the platform.
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