Supply Chain-Related Adverse Events and Patient Safety in Healthcare

Author(s):  
Nebil Buyurgan ◽  
Paiman Farrokhvar

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.

Author(s):  
Nebil Buyurgan ◽  
Paiman Farrokhvar

This chapter presents an investigation on supply-chain-related adverse events and patient safety in healthcare. Based on site visits and phone interviews with six healthcare providers, material handling and administrative processes are determined in a typical healthcare supply chain. Then a simulation model is developed to determine correct product validation practices and procedures for maximum patient safety. Benefits of standard product identifying technologies and automated validation systems are also explored to minimize workflow interruptions. 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.


2021 ◽  
pp. 251604352199026
Author(s):  
Peter Isherwood ◽  
Patrick Waterson

Patient safety, staff moral and system performance are at the heart of healthcare delivery. Investigation of adverse outcomes is one strategy that enables organisations to learn and improve. Healthcare is now understood as a complex, possibly the most complex, socio-technological system. Despite this the use of a 20th century linear investigation model is still recommended for the investigation of adverse outcomes. In this review the authors use data gathered from the investigation of a real life healthcare near incident and apply three different methodologies to the analysis of this data. They compare both the methodologies themselves and the outputs generated. This illustrates how different methodologies generate different system level recommendations. The authors conclude that system based models generate the strongest barriers to improve future performance. Healthcare providers and their regulatory bodies need to embrace system based methodologies if they are to effectively learn from, and reduce future, adverse outcomes.


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