Related Experiment Video
Updated: Jul 31, 2026
X-ray Dose Reduction through Adaptive Exposure in Fluoroscopic Imaging
Published on: September 11, 2011
Improving education and supervision of Queensland X-ray Operators through video conference technology: A
Marnie Rawle1, Tanya Oliver2, Alison Pighills3,4
1Medical Imaging Department, Mackay Base Hospital, Mackay, Queensland, Australia.
Introduction:
X-ray Operator (XO) supervision in Queensland is performed by radiographers in a site removed from the XO site. This has historically been performed by telephone when the XO requires immediate help, as well as post-examination through radiographer review and the provision of written feedback on images produced. This project aimed to improve image quality through the provision of real-time support of XOs by the introduction of video conference (VC) supervision.
Methods:
A 6-month pilot project compared image quality with and without VC supervision. VC equipment was installed in the X-ray room at two rural sites, as well as at the radiographer site, to enable visual and oral supervision. The VC unit enabled visualisation of the X-ray examination technique as it was being undertaken, as well as the images produced prior to transmission to the Picture Archiving and Communication System (PACS).
Results:
Statistically significant improvement in image quality criteria measures were seen for patient positioning (P = 0.008), image quality (P < 0.001) and diagnostic value (P < 0.001) of images taken during this project. No statistically significant differences were seen during case level assessment in the inclusion of only appropriate imaging (P = 0.06), and the inclusion of unacceptable imaging (P = 0.06), however improvements were seen in both of these criteria. The survey revealed 24.6% of examinations performed would normally have involved the XO contacting the radiographer for assistance, although, assistance was actually provided in 88.3% of examinations.
Conclusion:
This project has demonstrated that significant improvement in image quality is achievable with VC supervision. A larger study with a control arm that did not receive direct supervision should be used to validate the findings of this study.
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