Pattern mining of user interaction logs for a post-deployment usability evaluation of a radiology PACS client

Jorritsma, Wiard; Cnossen, Fokie; Dierckx, Rudi; Oudkerk, Matthijs; Ooijen, Peter M. A. van

doi:10.1016/j.ijmedinf.2015.10.007

Cited by 13 publications

(3 citation statements)

References 19 publications

(29 reference statements)

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“…However, since users tend to underuse interface customization facilities [16] (none of the users in our study were even aware that they could change the activation behavior of the measurement tools), it is important to choose a default setting that is optimal for the majority of users. Log data of users interacting with the workstation in our hospital [17] show that single measurements are more common than consecutive measurements, which means that the optimal setting would be to deactivate the measurement tools after one use.…”

Section: Discussionmentioning

confidence: 99%

Post-deployment usability evaluation of a radiology workstation

Jorritsma

Cnossen

Dierckx

et al. 2016

International Journal of Medical Informatics

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Section: Discussionmentioning

confidence: 99%

Post-deployment usability evaluation of a radiology workstation

Jorritsma

Cnossen

Dierckx

et al. 2016

International Journal of Medical Informatics

Self Cite

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“…Meanwhile, automated pattern mining solutions could give additional benefits when the sample size is larger. Compared to field studies, the pattern mining approach has limited effects in identifying usability issues [41]. However, we have shown that identifying patterns is beneficial for generating deep insights on how a software solution is used and about the underlying sensemaking process.…”

Section: The Case Studymentioning

confidence: 99%

Using a contextualized sensemaking model for interaction design: A case study of tumor contouring

Aselmaa

Herk

Laprie

et al. 2017

Journal of Biomedical Informatics

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a b s t r a c tSensemaking theories help designers understand the cognitive processes of a user when he/she performs a complicated task. This paper introduces a two-step approach of incorporating sensemaking support within the design of health information systems by: (1) modeling the sensemaking process of physicians while performing a task, and (2) identifying software interaction design requirements that support sensemaking based on this model. The two-step approach is presented based on a case study of the tumor contouring clinical task for radiotherapy planning. In the first step of the approach, a contextualized sensemaking model was developed to describe the sensemaking process based on the goal, the workflow and the context of the task. In the second step, based on a research software prototype, an experiment was conducted where three contouring tasks were performed by eight physicians respectively. Four types of navigation interactions and five types of interaction sequence patterns were identified by analyzing the gathered interaction log data from those twenty-four cases. Further in-depth study on each of the navigation interactions and interaction sequence patterns in relation to the contextualized sensemaking model revealed five main areas for design improvements to increase sensemaking support. Outcomes of the case study indicate that the proposed two-step approach was beneficial for gaining a deeper understanding of the sensemaking process during the task, as well as for identifying design requirements for better sensemaking support.

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“…[8]. However, many improvements can still be made, as radiologists tend to underuse the possibilities of a PACS system [9]. Adequate information on the imaging request, key images in the PACS, hyperlinks in the report to annotated images and structured reporting are all considered important [10].…”

Section: Introductionmentioning

confidence: 99%

Improvement of radiology reporting in a clinical cancer network: impact of an optimised multidisciplinary workflow

et al. 2018

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• Undeveloped subspecialisation makes adherence to RECIST guidelines difficult in general hospitals. • A clinical cancer network provides opportunities to improve healthcare. • Optimised workflow, subspecialisation and structured reporting substantially improve request and report quality. • Good interdisciplinary communication between oncologists, radiologists and others contributes to quality improvement.

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Pattern mining of user interaction logs for a post-deployment usability evaluation of a radiology PACS client

Cited by 13 publications

References 19 publications

Post-deployment usability evaluation of a radiology workstation

Post-deployment usability evaluation of a radiology workstation

Using a contextualized sensemaking model for interaction design: A case study of tumor contouring

Improvement of radiology reporting in a clinical cancer network: impact of an optimised multidisciplinary workflow

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