RESUMEN
DISCLAIMER: In an effort to expedite the publication of articles, AJHP is posting manuscripts online as soon as possible after acceptance. Accepted manuscripts have been peer-reviewed and copyedited, but are posted online before technical formatting and author proofing. These manuscripts are not the final version of record and will be replaced with the final article (formatted per AJHP style and proofed by the authors) at a later time. PURPOSE: This project aimed to determine whether a supportive calculator that automates the vial selection process might offer a practical and efficient method of reducing pharmaceutical expenditures through minimizing preventable drug waste in outpatient pharmacy settings from fiscal year (FY) 2021 to FY 2023. SUMMARY: Drug waste is a substantial target of cost-saving efforts in the areas of oncology and autoimmune therapy, which involve use of a vast number of high-cost medications packaged in single-dose vials of varying strength. To facilitate selection of the optimal combination of medication vials and thereby minimize preventable drug waste, a Microsoft Excel-based calculator was developed for use by staff of a large oncology pharmacy network. Twenty-three high-cost chemotherapy and monoclonal antibody medications were identified as initial targets for the drug waste prevention initiative. After dissemination and implementation of the calculator and provision of monthly pharmacy staff education, the dollar value of preventable drug waste and the number of suboptimal vial combination selections were reduced by 51% ($412,300) and 54% (315 selections), respectively, in fiscal year 2022 and further reduced by 46% ($183,400) and 27% (71 selections), respectively, in fiscal year 2023. CONCLUSION: After implementation of an automated vial selection tool, preventable drug waste and the quantity of suboptimal vial combination selections were markedly reduced across 11 outpatient compounding pharmacies.
RESUMEN
PURPOSE: Quality improvements achieved by a hospital pharmacy through the use of lean methodology to guide i.v. compounding workflow changes are described. SUMMARY: The outpatient oncology pharmacy of Yale-New Haven Hospital conducted a quality-improvement initiative to identify and implement workflow changes to support a major expansion of chemotherapy services. Applying concepts of lean methodology (i.e., elimination of non-value-added steps and waste in the production process), the pharmacy team performed a failure mode and effects analysis, workflow mapping, and impact analysis; staff pharmacists and pharmacy technicians identified 38 opportunities to decrease waste and increase efficiency. Three workflow processes (order verification, compounding, and delivery) accounted for 24 of 38 recommendations and were targeted for lean process improvements. The workflow was decreased to 14 steps, eliminating 6 non-value-added steps, and pharmacy staff resources and schedules were realigned with the streamlined workflow. The time required for pharmacist verification of patient-specific oncology orders was decreased by 33%; the time required for product verification was decreased by 52%. The average medication delivery time was decreased by 47%. The results of baseline and postimplementation time trials indicated a decrease in overall turnaround time to about 70 minutes, compared with a baseline time of about 90 minutes. CONCLUSION: The use of lean methodology to identify non-value-added steps in oncology order processing and the implementation of staff-recommended workflow changes resulted in an overall reduction in the turnaround time per dose.
