A comparison of automated dispensing cabinet optimization methods.

Area of Science:

• Pharmacy Informatics
• Healthcare Operations Management
• Supply Chain Optimization

Background:

• Automated dispensing cabinets (ADCs) are crucial for medication management in healthcare settings.
• Optimizing ADC stock levels and organization is essential for efficient pharmacy operations and cost control.
• Previous optimization strategies may not have fully addressed inventory management principles.

Purpose of the Study:

• To compare two distinct methods for optimizing automated dispensing cabinets (ADCs).
• To evaluate the impact of optimization on key performance indicators, including vend:fill ratio, inventory costs, and stockout rates.

Main Methods:

• A six-month study involving the optimization of eight nonprofiled ADCs.
• Optimization steps included removing unused medications, reorganizing stock, and adjusting par levels.
• Two par-level adjustment methods were compared: average daily usage (Day Supply group) and a standard inventory formula (Formula group).

Main Results:

• Total medications stocked decreased, resulting in significant carrying cost savings of $44,981.
• The standard inventory formula group showed a significant increase in the vend:fill ratio (4.33 to 5.2).
• The Day Supply group experienced a decline in the vend:fill ratio (4.52 to 3.90), with a significant postoptimization interaction difference between groups (p = 0.0477).

Conclusions:

• Optimizing automated dispensing cabinets using a standard inventory formula positively impacts inventory costs, refill efficiency, vend:fill ratios, and stockout percentages.
• The standard inventory formula appears to be a more effective method for ADC optimization compared to using average daily usage for par-level adjustments.