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Business·G Space·Evidence-backed gain·Published 2026-09-03

Implementation of a passive bin-based perpetual medication inventory model within ambulatory clinics at an academic medical center

Abstract: Purpose Ambulatory clinics manage high-cost medications with little visibility into quantity or movement, leaving unrealized opportunities for inventory optimization. Automated dispensing cabinets, common in inpatient settings, address this issue but require significant capital investment, forcing clinics into complex workflows to balance demand for high-cost medications with minimizing waste. This study evaluated a passive bin-based inventory model that tracked clinic transactions in real time using light senso…

TRV-2026-0966Peer-reviewedPermanent record — cite & verify
Implementation of a passive bin-based perpetual medication inventory model within ambulatory clinics at an academic medical center

Hospital Universitari Doctor Peset, València 03 by 19Tarrestnom65. CC BY-SA 4.0 · https://creativecommons.org/licenses/by-sa/4.0

The quick read

Purpose Ambulatory clinics manage high-cost medications with little visibility into quantity or movement, leaving unrealized opportunities for inventory optimization. Automated dispensing cabinets, common in inpatient settings, address this issue but require significant capital investment, forcing clinics into complex workflows to balance demand for high-cost medications with minimizing waste.

The model uses artificial intelligence and various algorithms to recommend inventory optimizations based on transaction data and notably requires no electronic health record integration.

Main points
  • Purpose Ambulatory clinics manage high-cost medications with little visibility into quantity or movement, leaving unrealized opportunities for inventory optimization.
  • Automated dispensing cabinets, common in inpatient settings, address this issue but require significant capital investment, forcing clinics into complex workflows to balance demand for high-cost medications with minimizing waste.
  • This study evaluated a passive bin-based inventory model that tracked clinic transactions in real time using light sensors to log product removal and replacement.
Gain

The accuracy of the system was validated via twice-weekly manual cycle count. The model uses artificial intelligence and various algorithms to recommend inventory optimizations based on transaction data and notably requires no electronic health record integration.

The rundown

This study evaluated a passive bin-based inventory model that tracked clinic transactions in real time using light sensors to log product removal and replacement. The model uses artificial intelligence and various algorithms to recommend inventory optimizations based on transaction data and notably requires no electronic health record integration.

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