Learning from gamers: Integrating alternative input devices and autohotkey scripts to simplify repetitive tasks and improve workflow

Arcadi Grigorian, Paul Fang, Tate Kirk, Aslan Efendizade, Jami Jadidi, Maziar Sighary, Dan I. Cohen-Addad

Research output: Contribution to journalArticlepeer-review

4 Scopus citations

Abstract

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.

Original languageEnglish (US)
Pages (from-to)141-150
Number of pages10
JournalRadiographics
Volume40
Issue number1
DOIs
StatePublished - Jan 1 2020
Externally publishedYes

ASJC Scopus subject areas

  • Radiology Nuclear Medicine and imaging

Fingerprint

Dive into the research topics of 'Learning from gamers: Integrating alternative input devices and autohotkey scripts to simplify repetitive tasks and improve workflow'. Together they form a unique fingerprint.

Cite this