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      Quantifying the costs of interruption during diagnostic radiology interpretation using mobile eye-tracking glasses

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          Abstract.

          What are the costs and consequences of interruptions during diagnostic radiology? The cognitive psychology literature suggests that interruptions lead to an array of negative consequences that could hurt patient outcomes and lead to lower patient throughput. Meanwhile, observational studies have both noted a strikingly high rate of interruptions and rising number of interruptions faced by radiologists. There is some observational evidence that more interruptions could lead to worse patient outcomes: Balint et al. (2014) found that the shifts with more telephone calls received in the reading room were associated with more discrepant calls. The purpose of the current study was to use an experimental manipulation to precisely quantify the costs of two different types of interruption: telephone interruption and an interpersonal interruption. We found that the first telephone interruption led to a significant increase in time spent on the case, but there was no effect on diagnostic accuracy. Eye-tracking revealed that interruptions strongly influenced where the radiologists looked: they tended to spend more time looking at dictation screens and less on medical images immediately after interruption. Our results demonstrate that while radiologists’ eye movements are reliably influenced by interruptions, the behavioral consequences were relatively mild, suggesting effective compensatory mechanisms.

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          Most cited references18

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          Preparing to resume an interrupted task: effects of prospective goal encoding and retrospective rehearsal

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            Interruptions in healthcare: theoretical views.

            Researchers in healthcare have begun to investigate interruptions extensively, given evidence for the adverse effects of work interruptions in other domains and given the highly interruptive hospital environment. In this paper, we reviewed literature on interruptions in critical care and medication dispensing settings in search of evidence for a relationship between interruptions and adverse events. The literature search included the databases MEDLINE, CINAHL+Pre CINHAL, Health Sources: Nursing Academic Edition, EMBASE, PsycINFO, ISI Web of Science and Ergonomics Abstracts. The paper titles and abstracts were subsequently reviewed. After the initial search, we reviewed paper titles and abstracts to define the subset for review. We currently lack evidence in healthcare of the extent to which interruptions lead to adverse effects. The lack of evidence may be due to the descriptive rather than causal nature of most studies, the lack of theory motivating investigations of the relationship, the fact that healthcare is a complex and varied domain, and inadequate conceptualizations of accident aetiology. We identify two recent accident theories in which the relationship between activity and medical errors is complex, indicating that even when it is sought, causal evidence is hard to find. Future research on interruptions in healthcare settings should focus on the following. First, prospective memory research and distributed cognition can provide a theoretical background for understanding the impact of interruptions and so could provide guidance for future empirical research on interruptions and the planning of actions in healthcare. Second, studying how interruptions are successfully rather than unsuccessfully overcome may better help us understand their effects. Third, because interruptions almost always have positive and adverse effects, more appropriate dependent variables could be chosen.
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              Scanners and drillers: characterizing expert visual search through volumetric images.

              Modern imaging methods like computed tomography (CT) generate 3-D volumes of image data. How do radiologists search through such images? Are certain strategies more efficient? Although there is a large literature devoted to understanding search in 2-D, relatively little is known about search in volumetric space. In recent years, with the ever-increasing popularity of volumetric medical imaging, this question has taken on increased importance as we try to understand, and ultimately reduce, errors in diagnostic radiology. In the current study, we asked 24 radiologists to search chest CTs for lung nodules that could indicate lung cancer. To search, radiologists scrolled up and down through a "stack" of 2-D chest CT "slices." At each moment, we tracked eye movements in the 2-D image plane and coregistered eye position with the current slice. We used these data to create a 3-D representation of the eye movements through the image volume. Radiologists tended to follow one of two dominant search strategies: "drilling" and "scanning." Drillers restrict eye movements to a small region of the lung while quickly scrolling through depth. Scanners move more slowly through depth and search an entire level of the lung before moving on to the next level in depth. Driller performance was superior to the scanners on a variety of metrics, including lung nodule detection rate, percentage of the lung covered, and the percentage of search errors where a nodule was never fixated.
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                Author and article information

                Journal
                J Med Imaging (Bellingham)
                J Med Imaging (Bellingham)
                JMIOBU
                JMI
                Journal of Medical Imaging
                Society of Photo-Optical Instrumentation Engineers
                2329-4302
                2329-4310
                2 March 2018
                July 2018
                : 5
                : 3
                : 031406
                Affiliations
                [a ]University of Utah , Department of Psychology, Salt Lake City, Utah, United States
                [b ]University of Utah , Department of Radiology and Imaging Sciences, Salt Lake City, Utah, United States
                [c ]Austin Radiological Association , Austin, Texas, United States
                [d ]Emory University Hospital , Department of Radiology and Imaging Sciences, Atlanta, Georgia, United States
                Author notes
                [* ]Address all correspondence to: Trafton Drew, E-mail: Trafton.Drew@ 123456psych.utah.edu
                Author information
                https://orcid.org/0000-0001-8827-0854
                Article
                JMI-17365SSR 17365SSR
                10.1117/1.JMI.5.3.031406
                5833804
                29531970
                f8cbce6a-eec2-45ef-895a-60f461049294
                © The Authors.

                Published by SPIE under a Creative Commons Attribution 3.0 Unported License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI.

                History
                : 15 December 2017
                : 12 February 2018
                Page count
                Figures: 7, Tables: 0, References: 20, Pages: 9
                Funding
                Funded by: U.S. Department of Defense (DOD) https://doi.org/10.13039/100000005
                Award ID: #W911NF-07-2-0055
                Categories
                Special Section on Medical Image Perceptions and Observer Performance
                Paper
                Custom metadata
                Drew et al.: Quantifying the costs of interruption during diagnostic radiology interpretation…

                interruption,diagnostic radiology,eye-tracking,visual search

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