Evaluation of medication system interface

  • Authors:
  • James Shanteau;Alleene M. Pingenot;James D. F. Pingenot

  • Affiliations:
  • Kansas State University;California State University, Stanislaus;University of Washington

  • Venue:
  • NDM'09 Proceedings of the 9th Bi-annual international conference on Naturalistic Decision Making
  • Year:
  • 2009

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Abstract

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.