Cost effective method of implementing decentralized unit dose pharmacy services in a Friesen setting

Traditional centralized pharmacy systems often face delays in drug delivery, especially during high-demand periods. Prior research has shown that centralized models can lead to extended turnaround times for medication orders. These delays may affect patient care and pharmacist availability. No prior work had resolved the balance between efficiency and resource use in decentralized systems. This gap motivated the exploration of alternative drug distribution strategies. Existing studies focus on centralized systems, leaving a need for scalable, cost-effective models. The Friesen Concept hospital setting offers a unique context for testing such innovations. The challenge lies in maintaining quality while reducing operational costs.

The study aimed to assess a limited decentralized drug distribution system at a Friesen Concept teaching hospital. The goal was to improve medication turnaround times during peak hours. The system targeted newly written orders to address urgent needs. The approach sought to increase pharmacist accessibility for consultations. It also aimed to clarify ambiguous or inappropriate prescriptions. The study focused on minimizing full-time equivalents and capital costs. It tested whether a mobile system could operate efficiently within limited hours. The results were expected to inform hospital pharmacy optimization strategies.

The system operated at a 310-bed Friesen Concept hospital with 252 medical/surgical beds. It was deployed on three floors during peak demand periods. The setup focused on initial doses for newly written orders. The approach used a mobile system to deliver medications directly. No additional full-time staff were required for the transition. Minimal capital investment was needed for implementation. The system tracked turnaround times for medication orders. Data collection spanned peak hours to evaluate performance improvements.

Turnaround times dropped from 217 to 90 minutes for 80-85% of new orders. The system improved pharmacist availability for reference consultations. It also helped clarify unclear or inappropriate prescriptions. The approach required no increase in full-time equivalents. Capital expenditure remained minimal during implementation. The system operated within limited hours of peak demand. It demonstrated efficiency without compromising quality. The results suggest potential for broader application in similar settings.

The limited decentralized system reduced medication turnaround times significantly. It increased pharmacist availability for consultations and order clarification. The system operated efficiently without additional staffing costs. Minimal capital investment supported the implementation. The findings suggest this model could be applied in other Friesen Concept hospitals. The approach aligns with the goal of optimizing pharmacy services. It provides a scalable solution for peak demand periods. The authors propose further testing in different hospital settings.