Learning from Gamers: Integrating Alternative Input Devices and AutoHotkey Scripts to Simplify Repetitive Tasks and...

Area of Science:

• Radiology and Medical Imaging
• Human-Computer Interaction
• Ergonomics

Background:

• Radiologists spend significant time interacting with digital radiology workstations.
• Inefficiencies in software interfaces and input devices can lead to lost productivity and user fatigue.
• Repetitive radiologic workflows amplify the impact of minor interface or device limitations.

Purpose of the Study:

• To explore the use of alternative input devices (AIDs) as ergonomic human-computer interfaces for radiologists.
• To demonstrate how AIDs, coupled with scripting, can optimize radiologist interaction with digital workstations.
• To identify hardware and software features that improve workflow efficiency and user experience without requiring IT support.

Main Methods:

• Utilized alternative input devices (AIDs) with onboard memory as ergonomic interfaces.
• Employed AutoHotkey scripts to automate complex tasks, enabling single-keystroke execution.
• Focused on hardware and software solutions implementable with existing radiology software and user input.

Main Results:

• AIDs and scripting can significantly minimize user frustration and improve personalized routines.
• Streamlined interactions with the digital workstation lead to enhanced productivity.
• Implemented solutions do not necessitate support from information technology professionals.

Conclusions:

• Modern AIDs and simple scripts offer practical solutions for improving radiologist workstation efficiency.
• These tools empower radiologists to personalize their workflows and reduce time lost to inefficiencies.
• The discussed methods provide a low-barrier approach to enhancing the digital radiology environment.