Welcome to the InfoSci Platform
Reference Hub4
Supply Chain-Related Adverse Events and Patient Safety in Healthcare

Supply Chain-Related Adverse Events and Patient Safety in Healthcare

Nebil Buyurgan, Paiman Farrokhvar
Copyright: © 2015 |Volume: 10 |Issue: 2 |Pages: 20
ISSN: 1555-3396|EISSN: 1555-340X|EISBN13: 9781466676282|DOI: 10.4018/IJHISI.2015040102
Cite Article Cite Article

MLA

Buyurgan, Nebil, and Paiman Farrokhvar. "Supply Chain-Related Adverse Events and Patient Safety in Healthcare." IJHISI vol.10, no.2 2015: pp.14-33. http://doi.org/10.4018/IJHISI.2015040102

APA

Buyurgan, N. & Farrokhvar, P. (2015). Supply Chain-Related Adverse Events and Patient Safety in Healthcare. International Journal of Healthcare Information Systems and Informatics (IJHISI), 10(2), 14-33. http://doi.org/10.4018/IJHISI.2015040102

Chicago

Buyurgan, Nebil, and Paiman Farrokhvar. "Supply Chain-Related Adverse Events and Patient Safety in Healthcare," International Journal of Healthcare Information Systems and Informatics (IJHISI) 10, no.2: 14-33. http://doi.org/10.4018/IJHISI.2015040102

Export Reference

Mendeley
Favorite Full-Issue Download

Abstract

This research investigates adverse events and patient safety in healthcare due to poor supply chain management practices, and inadequate and disorganized product validation procedures. Focusing on commodity medical and surgical products, this research investigates correct product validation points for maximum patient safety. This study also explores benefits of standard product identifying technologies such as HIBC or GS1 data standards as well as automated validation systems such as barcode or Auto ID to minimize workflow interruptions. Site visits and phone interviews are conducted with six healthcare providers to document common product validation practices and procedures. Based on observations and collected data, a simulation model is developed. Different scenarios are compared for patient safety, care delay, and system efficiency. The results show that validation points during PAR picking or bedside product administration, and warehouse picking operations provide optimal overall system performance. The results also indicate that standard product identifying technologies and automated validation systems significantly impact the efficiency of supply chain.

Request Access

You do not own this content. Please login to recommend this title to your institution's librarian or purchase it from the IGI Global bookstore.