Andersen Eivind Richter, Jorde Jannike, Taoussi Nadia, Yaqoob Sadia Halima, Konst Bente, Seierstad Therese
Department of Health Sciences, Buskerud University College, Drammen, Norway.
Acta Radiol. 2012 Mar 1;53(2):174-8. doi: 10.1258/ar.2011.110350. Epub 2012 Jan 27.
Reject analysis can be used as a quality indicator, and is an important tool in localizing areas where optimization is required. Reducing number of rejects is important yielding reduced patient exposure and increased cost-effectiveness.
To determine rejection rates and causes in direct digital radiography.
Data were collected during a three-month period in spring 2010 at two direct digital laboratories in Norway. All X-ray examinations, types, numbers, and reasons for rejections were obtained using automatic reject analysis software. Thirteen causes for rejection could be selected.
Out of the 27,284 acquired images, 3206 were rejected, yielding an overall rejection rate of 12%. Highest rejection rates were found for examination of knees, shoulders, and wrist. In all, 77% of the rejected images arose from positioning errors.
An overall rejection rate of 12% indicates a need for optimizing radiographic practice in the department.
拒收分析可作为质量指标，是确定需要优化区域的重要工具。减少拒收数量对于减少患者辐射剂量和提高成本效益非常重要。
确定直接数字化摄影中的拒收率及原因。
2010年春季在挪威的两个直接数字化实验室进行了为期三个月的数据收集。使用自动拒收分析软件获取所有X线检查、类型、数量及拒收原因。可选择13种拒收原因。
在采集的27284幅图像中，3206幅被拒收，总体拒收率为12%。膝关节、肩部和腕部检查的拒收率最高。总计77%的被拒收图像源于定位错误。
12%的总体拒收率表明该科室需要优化放射摄影操作。
