Innovation, makers of PharmASSIST® pharmacy automation and process optimization solutions, today announced the company’s Advanced Systems Division has collaborated on a thesis paper with Binghamton University Watson Institute for Systems Excellence (BU WISE) that has been published in Expert Systems With Applications (ESWA).
The thesis paper, “Pharmacy Robotic Dispensing and Planogram Analysis Using Association Rule Mining with Prescription Data,” details an optimized approach for determining prescribed medication associations within a high-volume pharmacy environment. The authors’ research, which applies the technique for assigning optimal fulfillment locations for specific medications based on their frequency of association with other medications, shows substantial positive effects. For example, it demonstrates how the method reduces the overall processing cost of dispensing prescriptions, increases the throughput of the high-volume technology and process, and improves the management of the pharmacy’s medication inventory. The team of researchers included Sangwon Yoon, assistant professor of systems science and electrical engineering at Binghamton University; Norma Khader, graduate student at Binghamton University; and Alecia Lashier, director of software systems engineering for Innovation.
“This important paper is evidence of the practical advantages possible when academia and industry focus together on important challenges. Innovation and our partners at Binghamton University are committed to the adoption and integration of emerging technologies and proven industrial best practices. The valuable improvements in pharmacy operations that result produce significant benefits to our customers and, most importantly, the patients they serve,” said Tom Boyer, chief operating officer, Innovation.
“In this research, we applied big-data analytics to enhance the efficiency of pharmacy automation and management by finding different rules and patterns of subscribed medications. Additionally, we can apply this research to both enhance pharmacy automation and management, and to help us understand patients’ medication adherence and compliance issues in the future,” said Dr. Yoon.
“The work published in this paper provides a great example of how industry and academia can work together to solve complex real-life challenges. Our partnership with Innovation, a leader in pharmacy automation, provides our graduate students and faculty with great opportunities to test some of their newly developed algorithms,” said Dr. Mohammad Khasawneh, professor and chair of Systems Science and Industrial Engineering, and associate director, BU WISE. He added, “In addition to accomplishing significant return on investment for our industry partners, collaborative efforts like this are indeed critical to our educational mission at the university.”
To further highlight and encourage participation on this type of research, Innovation and BU WISE will hold a 2-day symposium at Binghamton University on April 9-10, 2016. The symposium, “Exploring Successful Change Management for Pharmacy Operations,” will leverage myriad proven industry methodologies and lessons, and relate them to pharmacy operations. Discussion will also consider a wide range of different objectives, approaches, priorities, technologies, and tools that will empower pharmacies to adapt to change and more effectively improve their operations.
Innovation is the leading provider of Pharmacy Intelligence and pharmacy automation to the retail, hospital, government, and mail order pharmacy markets. Our PharmASSIST family of pharmacy automation and process optimization solutions enable all types of pharmacies to increase operational efficiency, enhance patient safety, and provide a higher quality of patient care.