Introduction
The escalating use of Computed Tomography (CT) has promoted higher radiographer workload, which can contribute to an increase of risks such as stress, job dissatisfaction, and potential health and safety issues. This study aimed to assess the impact of organizational, spatial, and temporal factors on procedures and workload in a CT unit, emphasizing patient safety and radiographer well-being. Addressing time pressure and optimizing workplace ergonomics are crucial in maintaining a balance between efficiency and quality, ensuring safe practices in modern medical imaging units.
Objective
To comprehensively examine the influence of auto-patient centering technologies on positioning accuracy, radiation dose, image quality, and time efficiency of computed tomography (CT) scans.
Introduction
Many factors can influence a radiographer to leave the clinical profession. The retention of radiographers in the clinical workforce is an issue for many countries including Ireland. This study aimed to explore factors influencing radiographers in Ireland to leave the clinical profession so that changes can be considered to reduce attrition from clinical workforce.
Abstract
In this experiment, we replicated the effect of muscle engagement on perception such that the recognition of another’s facial expressions was biased by the observer’s facial muscular activity (Blaesi & Wilson, 2010). We extended this replication to show that such a modulatory effect is also observed for the recognition of dynamic bodily expressions. Via a multilab and within-subjects approach, we investigated the emotion recognition of point-light biological walkers, along with that of morphed face stimuli, while subjects were or were not holding a pen in their teeth. Under the “pen-in-the-teeth” condition, participants tended to lower their threshold of perception of happy expressions in facial stimuli compared to the “no-pen” condition, thus replicating the experiment by Blaesi and Wilson (2010). A similar effect was found for the biological motion stimuli such that participants lowered their threshold to perceive happy walkers in the pen-in-the-teeth condition compared to the no-pen condition. This pattern of results was also found in a second experiment in which the no-pen condition was replaced by a situation in which participants held a pen in their lips (“pen-in-lips” condition). These results suggested that facial muscular activity alters the recognition of not only facial expressions but also bodily expressions.
Objectives
Radiographers use advanced medical imaging and radiotherapy (MIRT) equipment. They are also a digitally mature and digitally resilient workforce in healthcare. Artificial intelligence is already changing their clinical practice and roles in data acquisition, post-processing, and workflow management. It is therefore vital to understand the impact of AI on the careers, roles and professional identity of radiographers, as key stakeholders of the digital transformation of healthcare within the medical imaging ecosystem.