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Challenges and Opportunities in Healthcare Provider Adoption of GS1 Data Standards

Presenters:  

Overview:The presenters from the Center for Innovation in Healthcare Logistics (CIHL) at the University of Arkansas are engaged in a study of challenges and opportunities for healthcare providers in adopting proposed GS1 data standards in their supply chain operations, both within hospitals and with trading partners outside. The project aims to foster widespread healthcare provider adoption by collaborating with selected hospital groups to design, pilot-test, and evaluate procedures that will enable providers to become early adopters of the standards, including estimating the associated costs, gains in process efficiency, and patient care/safety.  The webinar will briefly review key elements of the GS1 standards, outline alternative levels of provider adoption including the software support required, and focus on what has been learned so far in the project about expected impacts on cost/benefit metrics and guidelines for best practice.

Costs:   $49 per CD-ROM – AHRMM Members; $139 per CD-ROM – Non-members

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This program was recorded November 18, 2009.

Biographies:

Ronald L. (Ron) Rardin
Ronald L. (Ron) Rardin is John and Mary Lib White Systems Integration Chair and Distinguished Professor of Industrial Engineering at the University of Arkansas - Fayetteville.  He heads the University’s new Center on Innovation in Healthcare Logistics which targets innovations in supply chain and material flow aspects of healthcare operations. Professor Rardin recently retired from Purdue University after directing the Purdue Energy Modeling Research Groups and playing a leading role in its Regenstrief Center for Healthcare Engineering.  He also served a rotation from 2000-2003 as Program Director for Operations Research and Service Enterprise Engineering at the National Science Foundation.     Dr. Rardin obtained his B.A. and M.P.A. degrees from the University of Kansas, and a Ph.D. at Georgia Institute of Technology. His current teaching and research interests center on healthcare systems engineering, and large-scale optimization. He is co-author of numerous research papers on those topics and two comprehensive textbooks.

Nebil Buyurgan
Nebil Buyurgan is an assistant professor in the Industrial Engineering Department and the director of the AT&T RFID and Material Handling Laboratory at the University of Arkansas. He received his doctorate in engineering management, from the University of Missouri-Rolla. As the author or co-author of over 40 technical papers, his research interests include radio frequency identification technologies and their supply chain management applications, humanitarian and healthcare logistics, and modeling and analysis of discrete event systems. He has received research funding from, among others, the National Science Foundation, Air Force Research Lab, and Wal-Mart Stores.

Raja Jayaraman
Raja Jayaraman is a Post Doctoral Fellow in the Center for Innovation in Healthcare Logistics and the University of Arkansas. He received a Ph.D. in Industrial Engineering from Texas Tech University, a MS in Industrial Engineering from New Mexico State University, a MS in Mathematics from Anna University-India and a BS in Mathematics from University of Madras-India. Currently, he is engaged in projects relating to improving healthcare supply chain efficiency with a deeper focus on provider adoption to data standards, cost and quality improvements thereof.  His research interests include healthcare logistics, supply chain management, analytics, and technology applications to improve healthcare delivery systems.

Angelica Burbano
Angelica Burbano is a PhD student in Industrial Engineering at the University of Arkansas, and a Graduate Research Assistant in the Center for Innovation on Healthcare. She holds a MSOM from Universidad Icesi and a BS in Industrial Engineering from Pontificia Universidad Javeriana both in Cali, Colombia.  Angelica has previous experience in the food manufacturing industry and her work for CIHL focuses on assessing the impact of GS1 standards adoption in the healthcare supply chain.


 

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