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Learning from Gamers: Integrating Alternative Input Devices and AutoHotkey Scripts to Simplify Repetitive Tasks and Improve Workflow
Author(s) -
Arkadij Grigorian,
Paul Fang,
Tate Kirk,
Aslan Efendizade,
Jami Jadidi,
Maziar Sighary,
Dan CohenAddad
Publication year - 2020
Publication title -
radiographics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.866
H-Index - 172
eISSN - 1527-1323
pISSN - 0271-5333
DOI - 10.1148/rg.2020190077
Subject(s) - workflow , scripting language , software , workstation , computer science , interface (matter) , human–computer interaction , interoperability , medicine , usability , keystroke logging , software engineering , embedded system , operating system , database , bubble , maximum bubble pressure method
Radiologists rely heavily on the digital radiology workstation. They spend most of their time interacting with software applications that use multiple input devices, including mice, keyboards, and microphones. The efficiency of this relationship depends on the interface of the different software applications, their interoperability, and input device effectiveness. Because of the repetition of a radiologic workflow, even small inefficiencies can accumulate into significant losses of time and productivity and contribute to user fatigue. Alternative input devices (AIDs) with onboard memory can be used as ergonomic human-computer interfaces. These devices can also be coupled with AutoHotkey scripts to complete complex tasks in one keystroke. Radiologists can use modern AIDs and simple scripts to minimize frustration, improve and personalize their routines, and streamline interactions with the workstation. The authors discuss hardware and software features that do not require support from information technology professionals and can be implemented with any software that relies on user input. Online supplemental material is available for this article. © RSNA, 2020.

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