Motivation – Development of a quantitative method for identification of interface design flaws. Research approach – Cognitive task analysis and fault analysis methodology were used to design a tool to capture expert user’s experience with the interface. Findings/Design – Experienced users provided estimates of failure rates for each point in the fault tree. We found the need for numerous work-arounds impacted the time required for processing medications, making the interface under study inefficient. The method identified specific steps in the process of using the interface where re-design could improve efficiency. Originality/Value – This method can be used during system development, system selection or post deployment assessment of problematic systems. Take away message – This methodology provides an accessible method of quantifying error rates in specific components of the interface.
Content
Author and article information
Contributors
James Shanteau
M.S., ARNP Alleene M. Pingenot
James D. F. Pingenot
Conference
Publication date:
June
2009
Publication date
(Print):
June
2009
Pages: 160-165
Affiliations
[0001]Kansas State University, USA
[0002]California State University, Stanislaus, USA