https://doi.org/10.4081/aiua.2026.14992
Exploring the efficacy of the storage organizational model in the urology suite at a single institution
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Published: 29 May 2026
Purpose: The growing use of disposable equipment in operating rooms (ORs) underscores the need for efficient storage systems that ensure reliable access while minimizing waste. Multiple organizational models exist, including open rack storage, Omnicell cabinets, and PAR Excellence weight-based scales. This study evaluated the effectiveness of the current storage model in the urology suite at a single academic institution.
Methods: We first identified the storage systems used in the operating rooms (OR) and Omnicell storage room in the urology suite. We then obtained stored item data from our Supply Chain manager, containing quantities of each item and costs. Using our medical record system, EPIC, we kept track of the frequency of use for each stored item in academic year 2022-2023. Also, during this time, the PI surgeon and OR staff made note of any unavailable or expired equipment.
Results: At our institution, we use a combination of open rack and Omnicell storage. From August-September 2022, there were 3 out-of-stock items noted. In April 2023, there were 7 expired items noted. Of the 237 different disposable items stocked, 117 (49.37%) were unused over the study year, accounting for $21,812.26 (15.98%) of total on-hand inventory cost.
Conclusions: The current organizational system demonstrated notable inefficiencies, including unavailable equipment, expired items, and substantial cost tied to unused supplies. These challenges highlight the limitations of manual or partially automated storage models and emphasize the need for more reliable, datadriven systems. Institutions may benefit from reevaluating their storage workflows to improve equipment availability, reduce waste, and support more sustainable financial and clinical practices.
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CRediT authorship contribution
JG: Conceptualization, data interpretation, methodology, writing-original draft preparation. RS: Data interpretation, writing-review & editing. MAC: Data interpretation, methodology, writing-review & editing. JAB: Conceptualization, methodology, writing-review & editing, Supervision.
Supporting Agencies
Data Availability Statement
Not applicable.
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