Artificial intelligence and radiographer preliminary image evaluation: What might the future hold for radiographers providing x-ray interpretation in the acute setting?
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Date
2024
Authors
Rainey, Clare
Journal Title
Journal ISSN
Volume Title
Publisher
John Wiley and Sons Ltd
Published Version
Abstract
In a stretched healthcare system, radiographer preliminary image evaluation in the acute setting can be a means to optimise patient care by reducing error and increasing efficiencies in the patient journey. Radiographers have shown impressive accuracies in the provision of these initial evaluations, however, barriers such as a lack of confidence and increased workloads have been cited as a reason for radiographer reticence in engagement with this practice. With advances in Artificial Intelligence (AI) technology for assistance in clinical decision-making, and indication that this may increase confidence in diagnostic decision-making with reporting radiographers, the author of this editorial wonders what the impact of this technology might be on clinical decision-making by radiographers in the provision of Preliminary Image Evaluation (PIE).
Description
Keywords
Artificial Intelligence , Humans , Radiography , Clinical evaluation , Clinical practice , Diagnostic accuracy , X ray
Citation
Rainey, C. (2024) 'Artificial intelligence and radiographer preliminary image evaluation: What might the future hold for radiographers providing x‐ray interpretation in the acute setting?', Journal of Medical Radiation Sciences, 71(4), pp. 495-498. https://doi.org/10.1002/jmrs.821