James Shanteau , M.S., ARNP Alleene M. Pingenot , James D. F. Pingenot
June 2009
9th Bi-annual International Conference on Naturalistic Decision Making (NDM9) (NDM)
Naturalistic Decision Making (NDM9)
23 - 26 June 2009
Cognitive Task Analysis, Fault Tree Analysis, Medication Support Systems, Expert Assessment
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.
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