Progress towards Data Standards Adoption in Healthcare
Abstract
The contribution of this paper is to report on the progress of and barriers to adoption of data standards in healthcare logistics. This paper is directed to engineering managers with an interest in healthcare management, information management, and supply chain management. Data standards in healthcare logistics fall into two categories: product identification numbers and location identification numbers. Product identification numbers are assigned to any item that may be priced, ordered, or invoiced at any point in any supply chain, location identification numbers are used to identify physical locations to improve the efficiency of communication with the supply chain. the main objective of this paper is to convey the potential benefits of data standards adoption in the healthcare supply chain and present empirical evidence of progress toward adoption as well as a discussion of barriers toward adoption. Data is presented and analyzed from surveys conducted in 2008, 2010 and 2011. the results show encouraging progress being made towards data standards adoption; however, many barriers still exist. Engineering managers will appreciate the potential benefits of data standards adoption in healthcare logistics and will see the role engineers and engineering managers can have in facilitating data standards adoption and overcoming the barriers faced. Engineering managers will also see the opportunities for healthcare process improvement once data standards are adopted. Copyright, American Society for Engineering Management, 2012.
Recommended Citation
B. K. Smith et al., "Progress towards Data Standards Adoption in Healthcare," Annual International Conference of the American Society for Engineering Management 2012, ASEM 2012 - Agile Management: Embracing Change and Uncertainty in Engineering Management, pp. 292 - 297, American Society of Engineering Management, Dec 2012.
Department(s)
Engineering Management and Systems Engineering
International Standard Book Number (ISBN)
978-162748282-0
Document Type
Article - Conference proceedings
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2024 American Society for Engineering Management, All rights reserved.
Publication Date
01 Dec 2012