2006
DOI: 10.1016/j.ijmedinf.2005.08.005
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Human–computer interaction reflected in the design of user interfaces for general practitioners

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Cited by 16 publications
(13 citation statements)
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“…To align with CFT, we propose that clinical problem solving depends on both the problem representation (i.e., the S and O information representation) and task representation (i.e., A and P assessment tasks) (Stoicu-Tivadar & Stoicu-Tivadar, 2006). CFT suggests that when the problem representation and task representation are matched within the physician's mental model, efficient and accurate performance will result.…”
Section: Theoretical Foundationmentioning
confidence: 99%
“…To align with CFT, we propose that clinical problem solving depends on both the problem representation (i.e., the S and O information representation) and task representation (i.e., A and P assessment tasks) (Stoicu-Tivadar & Stoicu-Tivadar, 2006). CFT suggests that when the problem representation and task representation are matched within the physician's mental model, efficient and accurate performance will result.…”
Section: Theoretical Foundationmentioning
confidence: 99%
“…Whilst literature abounds on the usability of software in general, only one study has examined the specific needs of the medical profession. 10 Video observation remains the best way to test the complex issues that arise in integrating the computer into the consultation, and is a process that can be used in scenario testing 7 and in live consulting situations. 11,12 Such methods are now validated and reproducible; they can produce outputs which software engineers can interpret to develop better systems.…”
Section: Direct Observation Of Epr In the Clinical Environmentmentioning
confidence: 99%
“…Conversely, resources that move beyond availability and provide assistance with information extraction (such as context-sensitive clinical reminders or real-time cardiac telemetry) can reduce the physician's cognitive load. Information visualization has been shown to be one such successful method of supporting extraction and reducing cognitive load in the medical setting [17,18].…”
Section: Information Visualization In Healthcarementioning
confidence: 99%