Digital Radiography Reject Analysis: Data Collection Methodology, Results, and Recommendations from an In-depth Investigation at Two Hospitals

摘要: Reject analysis was performed on 288,000 computed radiography (CR) image records collected from a university hospital (UH) and large community (CH). Each record contains information, such as body part view position, exposure level, technologist identifier, and—if the rejected—the reason for rejection. Extensive database filtering required to ensure integrity of reject-rate calculations. The reject rate CR across all departments exam types 4.4% at UH 4.9% CH. most frequently occurring with rates 8% or greater were found be common both institutions (skull/facial bones, shoulder, hip, spines, in-department chest, pelvis). Positioning errors anatomy cutoff reasons rejection, accounting 45% rejects CH 56% UH. Improper next (14% 13% UH), followed by patient motion (11% 7% UH). Chest exams (26% CH) half captured using portable x-ray equipment. A ninefold (9%) versus chest (1%). Problems identified data used can mitigated in future objectifying quality assurance (QA) procedures standardizing nomenclature definitions QA deficiencies.