关键词: Google Glass competence medical imaging nurse radiography radiology rural health telemedicine videoconferencing

来  源:   DOI:10.3390/healthcare12131253   PDF(Pubmed)

Abstract:
Previous studies have explored use of smart glasses in telemedicine, but no study has investigated its use in teleradiography. The purpose of this study was to implement a six-month pilot program for Western Australian X-ray operators (XROs) to use smart glasses to obtain assisted reality support in their radiography practice from their supervising radiographers, and evaluate its effectiveness in terms of XROs\' competence improvement and equipment usability. Pretest-posttest design with evaluation of the XROs\' competence (including their X-ray image quality) and smart glasses usability by XROs in two remote centers and their supervising radiographers from two sites before and after the program using four questionnaire sets and X-ray image quality review was employed in this experimental study. Paired t-test was used for comparing mean values of the pre- and post-intervention pairs of 11-point scale questionnaire and image quality review items to determine any XROs\' radiography competence improvements. Content analysis was used to analyze open questions about the equipment usability. Our study\'s findings based on 13 participants (11 XROs and 2 supervising radiographers) and 2053 X-ray images show that the assisted reality support helped to improve the XROs\' radiography competence (specifically X-ray image quality), with mean post-intervention competence values of 6.16-7.39 (out of 10) and statistical significances (p < 0.001-0.05), and the equipment was considered effective for this purpose but not easy to use.
摘要:
以前的研究已经探索了智能眼镜在远程医疗中的使用,但没有研究调查它在远程照相中的应用。这项研究的目的是为西澳大利亚州X射线操作员(XRO)实施为期六个月的试点计划,以使用智能眼镜从其监督的放射技师那里获得辅助的现实支持,并评估其在XRO能力改进和设备可用性方面的有效性。通过两个远程中心的XRO及其在程序前后的两个站点的监督放射技师对XRO的能力(包括其X射线图像质量)和智能眼镜可用性进行评估的前后测试设计使用了四个问卷集和X射线图像质量审查。配对t检验用于比较11点量表问卷和图像质量评估项目的干预前后对的平均值,以确定任何XRO射线照相能力的改善。内容分析用于分析有关设备可用性的开放性问题。我们基于13名参与者(11名XRO和2名监督放射技师)和2053张X射线图像的研究结果表明,辅助现实支持有助于提高XRO的放射摄影能力(特别是X射线图像质量),干预后的平均能力值为6.16-7.39(满分10),有统计学意义(p<0.001-0.05),和设备被认为是有效的,但不容易使用。
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