Gilmer, Mary

Abstract Purpose Excessive purchasing of influenza vaccine can lead to costly overages and waste of resources. Insufficient quantities, however, can jeopardize population health. Our project aimed to use predictive analytics to determine the influenza vaccine quantities that would be needed for the next influenza season while minimizing vaccine waste and meeting patient care demands. Methods Several data sources were evaluated to develop a predictive analytics model to better estimate future influenza vaccine orders during upcoming influenza seasons. A retrospective analysis of influenza vaccine administrations over the last 4 influenza seasons allowed the team to develop an algorithm to predict influenza vaccine needs. Two regions within Mayo Clinic were selected to determine the validity of our ordering process. These 2 regions, identified as regions 3 and 5, ordered influenza vaccines based on the algorithm, while the other 3 regions acted as control groups, ordering though traditional methods based on purchasing data. Results Predictive analysis for the 2 intervention regions resulted in a savings of over $1 million when compared to traditional ordering methods. The model predicted that the quantity of vaccine ordered should be 17,574.16 and 9,164.29 quadrivalent influenza vaccines for regions 3 and 5, respectively. On the basis of actual administration data, 15,902 vaccines for region 3 and 9,016 vaccines for region 5 will be administered by the end of the season, both of which are less than the predicted amount needed, demonstrating the accuracy of the analytics. Conclusion Compared to the traditional ordering method, ordering using predictive analytics allowed the team to more accurately determine future order volumes and spend, yielding significant cost savings.

Abstract Shortages of antimicrobial agents rank second among all pharmaceutical classes. These shortages are persistent and increasing. The underlying reasons for shortages include manufacturing and quality issues, market economics, and changes in demand. Antimicrobial shortages compromise patient outcomes and increase treatment costs, contribute to antibiotic resistance, and may lead to increased adverse effects.

Therapeutic interventions to manage symptoms of COVID-19 are continually evolving and being used in a variety of settings. In an attempt to reduce the potential for a high influx of hospital admissions for COVID-19 and mitigate the advancement of COVID-19 disease in infected patients, an outpatient therapy clinic for infusion therapy was established. The focus of the current paper is to outline the development of the outpatient treatment center, provide a detailed summary of workflow and discuss operational challenges and directions for the future.