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Optimization of Automated Dispensing Cabinets at a Large Academic Medical Center

Robb, Rachel (2023) Optimization of Automated Dispensing Cabinets at a Large Academic Medical Center. Master Essay, University of Pittsburgh.

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The COVID-19 pandemic struck healthcare workers with burnout and left hospitals with extreme staffing shortages. To minimize complications and prevent medication errors during this time, inpatient pharmacies have attempted to increase the availability of medications stored on nursing units. Automated Dispensing Cabinets (ADCs) simplify medication dispensing by working directly with the electronic health record to dispense medications ready for administration. A unique challenge of ADCs is their volatile usage, dependent on medication shortages, provider preference, and individual patient needs. As a result, optimization of ADC inventory is an emerging focus of pharmacy departments as health systems look to maximize efficiency of medication dispensing. At Allegheny General Hospital in Pittsburgh, Pennsylvania, all inpatient profiled ADCs at were optimized during the transition from Pyxis™ES to Omnicell® in the fall of 2021. The following metrics were used to assess efficiency: percentage of cabinet-dispensed medications, vend-to-refill ratios, and stock out percentages. Three months of data for the above metrics were pulled from Pyxis™ES and used as a baseline. Medication par levels in Omnicell® cabinets were then adjusted per usage rates. The metrics were collected again after three months of new par levels in the new cabinets and assessed for increased availability of medications. When compared to baseline, the optimized metrics showed an increased in availability of medications in the cabinets by eight percent. The public health significance of this study lies with the streamlining of medication delivery while contributing to the creation of an error-free healthcare system.


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Item Type: Other Thesis, Dissertation, or Long Paper (Master Essay)
Status: Unpublished
CreatorsEmailPitt UsernameORCID
Robb, Rachelrachel.robb@ahn.orgrar198
ContributionContributors NameEmailPitt UsernameORCID
Committee MemberFelter, Elizabeth Memfelter@pitt.eduemfelterUNSPECIFIED
Committee MemberHershey, Tina Btbh16@pitt.edutbh16UNSPECIFIED
Centers: Other Centers, Institutes, Offices, or Units > Center for Biomedical Informatics
Date: 5 January 2023
Date Type: Completion
Submission Date: 16 December 2022
Access Restriction: No restriction; Release the ETD for access worldwide immediately.
Number of Pages: 25
Institution: University of Pittsburgh
Schools and Programs: School of Public Health > Multidisciplinary MPH
Degree: MPH - Master of Public Health
Thesis Type: Master Essay
Refereed: Yes
Uncontrolled Keywords: Automation, pharmacy, inpatient, operations
Date Deposited: 05 Jan 2023 15:37
Last Modified: 05 Jan 2023 15:37


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