262
Views
5
CrossRef citations to date
0
Altmetric
Original Articles

An Exploratory Pilot Study on Supply Chain Data Standards in a Hospital Pharmacy

Pages 141-151
Published online: 27 Aug 2015
 

Abstract

Supply chain data standards provide unique and unambiguous references to products and locations, enable system level interoperability, facilitate barcode-based medication administration, and offer track-and-trace capabilities throughout the healthcare supply chain. Despite widespread consensus among industry stakeholders and many perceived benefits, healthcare providers are hesitant to implement these standards. Through an exploratory pilot study at a healthcare provider site focused on pharmaceutical operations, we identify the key challenges in implementing data standards in a pharmaceutical setting. In doing so, we document the required technology functionality, clinical and financial workflows, and information systems, as well as articulate the challenges in implementing data standards. The lessons learned from the study offer valuable insights for supply chain executives, engineering managers, and pharmacy directors to plan and implement GS1 standards in their facilities.

Acknowledgments

The authors are grateful to the editor and the anonymous referees for their detailed comments, which greatly improved the presentation of this work. The authors would like to acknowledge the efforts and contribution of undergraduate student, Ms. Catherine Ninah of the University of Central Florida.

Additional information

Notes on contributors

Raja Jayaraman

Raja Jayaraman is an Assistant Professor of Industrial & Systems Engineering at the Khalifa University, Abu Dhabi, United Arab Emirates. He received his PhD in Industrial Engineering from Texas Tech University, a Master of Science in Industrial Engineering from New Mexico State University, a Bachelor degree of Science in Mathematics from the University of Madras, India, and a Masters degree of Science in Mathematics from Anna University, India. His research interests include applied operations research, healthcare systems engineering, supply chain, logistics, and quality engineering.

Nebil Buyurgan

Nebil Buyurgan is an Associate Professor and the Chair of the Industrial Engineering program at Quinnipiac University. He received his doctorate in engineering management from the University of Missouri-Rolla (now the Missouri University of Science & Technology). As the author or co-author of over 100 technical papers, his research interests include supply chain management, humanitarian and healthcare logistics, and healthcare/medical informatics. He has directed several projects funded by the National Science Foundation, Air Force Research Lab, and RAND Corporation.

Ronald L. Rardin

Ronald L. Rardin is a Distinguished Professor Emeritus of Industrial Engineering at the University of Arkansas–Fayetteville. He was the founding director of the Center on Innovation in Healthcare Logistics (CIHL) targeting innovations in supply chain and material flow aspects of healthcare operations in collaboration with Wal-Mart, Blue Cross Blue Shield, VHA, and other partners. His teaching and research interests center on large-scale optimization modeling and algorithms, especially their applications in healthcare delivery and energy planning.

Vijith M. Varghese

Vijith M. Varghese is currently working with Ernst & Young, India. Previously he was a postdoctoral fellow in the Center for Innovation in Healthcare Logistics (CIHL) and adjunct graduate faculty in the department of Industrial Engineering at the University of Arkansas–Fayetteville. His research interests include the design, analysis, and optimization of healthcare and logistics systems using stochastic modeling and computer simulation.

Jennifer A. Pazour

Jennifer A. Pazour is an Assistant Professor of Industrial Engineering and Systems Engineering at Rensselaer Polytechnic Institute. She holds three degrees in Industrial Engineering (a BS from the South Dakota School of Mines and Technology, and an MS and PhD from the University of Arkansas–Fayetteville). Her research is on the development and use of analytical models to guide decision making in service industries.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 58.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 79.00 Add to cart

* Local tax will be added as applicable
 

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.