2014
DOI: 10.1016/j.jbi.2014.05.004
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Usability study of clinical exome analysis software: Top lessons learned and recommendations

Abstract: We present the first application of usability methods to evaluate software interfaces in the context of exome analysis. Our results highlight how the study of user responses can lead to identification of usability issues and challenges and reveal software reengineering opportunities for improving clinical next-generation sequencing analysis. While the evaluation focused on two distinctive software tools, the results are general and should inform active and future software development for genome analysis softwa… Show more

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Cited by 15 publications
(9 citation statements)
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“…Focus group participants reported a desire for information to support more in depth understanding of GS results. Addressing this desire would need to be considered with care given findings from others that using too much bioinformatics or genetics jargon causes confusion [21]. In addition, while actual navigation of the GMA software interface could not be tested during our task walkthroughs, participants still proposed several areas to improve (Table 5).…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…Focus group participants reported a desire for information to support more in depth understanding of GS results. Addressing this desire would need to be considered with care given findings from others that using too much bioinformatics or genetics jargon causes confusion [21]. In addition, while actual navigation of the GMA software interface could not be tested during our task walkthroughs, participants still proposed several areas to improve (Table 5).…”
Section: Discussionmentioning
confidence: 99%
“…Other studies have used similar task-centered approaches to investigate the usability of genetic data interpretation software. For example, Shyr et al administered surveys, conducted interviews and performed cognitive task analyses to assess the usability of a clinical exome analysis software [21]. In another study a think-aloud, graded-task protocol was used to evaluate the GeneInsight Suite.…”
Section: Introductionmentioning
confidence: 99%
“… 17 , 18 In a previous study of a cohort of clinical geneticists, we evaluated the usability of exome analysis software based on think-aloud protocols in a study where participants were presented with simulated clinical cases to analyze. 19 While our results highlighted deficiencies of the software for clinical geneticists, such users rarely work in isolation. An interdisciplinary team comprising of informaticians, clinical/biochemical geneticists, subspecialist pediatricians, laboratory scientists, and genetic counselors are often involved.…”
Section: Introductionmentioning
confidence: 73%
“…22 , 23 A set of initial codes was formulated based on the research questions and prior studies. 19 , 24–26 Additional emergent themes and codes were identified from the data using an inductive approach. 27–29 The whiteboard drawings were analyzed from the video footages, and were digitally translated using GUI Design Studio Version 4.6.…”
Section: Methodsmentioning
confidence: 99%
“…Complex studies involving physicists, chemists, mathematicians, engineers, biologists are required for mathematical representation of complex biological processes and minimization of clinical tests. Long-term systematic search for simple, convenient, universal software with a set of functions ranging from knowledge extraction to decision-making leads to no success [32,143]. Existing computer systems for risk assessment fail to record 50-96% of critical situations [99].…”
Section: Introductionmentioning
confidence: 99%