Digital radiography reject analysis: data collection methodology, results, and recommendations from an in-depth investigation at two hospitals.

Reject analysis was performed on 288,000 computed radiography (CR) image records collected from a university hospital (UH) and a large community hospital (CH). Each record contains image information, such as body part and view position, exposure level, technologist identifier, and-if the image was r...

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Publicado en:Journal of Digital Imaging Vol. 22; no. 1; pp. 89 - 99
Autores principales: Foos DH, Sehnert WJ, Reiner B, Siegel EL, Segal A, Waldman DL
Formato: research tables/charts Journal Article
Publicado: Springer Nature Feb2009
Acceso en línea:Ver este registro en EBSCOhost
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      pub: Springer Nature
      place: New York, New York
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        atl: Digital radiography reject analysis: data collection methodology, results, and recommendations from an in-depth investigation at two hospitals.
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        au:
          Foos DH
          Sehnert WJ
          Reiner B
          Siegel EL
          Segal A
          Waldman DL
        affil: Clinical Applications Research Laboratory, Carestream Health Inc., 1049 Ridge Road W, Rochester, NY 14615
      sug:
        subj:
          Quality Assurance
          Radiography, Computed
          Academic Medical Centers
          Comparative Studies
          Descriptive Statistics
          Hospitals, Community
          Picture Archiving and Communication Systems
          Quality Control (Technology)
          Human
      ab: Reject analysis was performed on 288,000 computed radiography (CR) image records collected from a university hospital (UH) and a large community hospital (CH). Each record contains image information, such as body part and view position, exposure level, technologist identifier, and-if the image was rejected-the reason for rejection. Extensive database filtering was required to ensure the integrity of the reject-rate calculations. The reject rate for CR across all departments and across all exam types was 4.4% at UH and 4.9% at CH. The most frequently occurring exam types with reject rates of 8% or greater were found to be common to both institutions (skull/facial bones, shoulder, hip, spines, indepartment chest, pelvis). Positioning errors and anatomy cutoff were the most frequently occurring reasons for rejection, accounting for 45% of rejects at CH and 56% at UH. Improper exposure was the next most frequently occurring reject reason (14% of rejects at CH and 13% at UH), followed by patient motion (11% of rejects at CH and 7% at UH). Chest exams were the most frequently performed exam at both institutions (26% at UH and 45% at CH) with half captured indepartment and half captured using portable x-ray equipment. A ninefold greater reject rate was found for in-department (9%) versus portable chest exams (1%). Problems identified with the integrity of the data used for reject analysis can be mitigated in the future by objectifying quality assurance (QA) procedures and by standardizing the nomenclature and definitions for QA deficiencies.
      pubtype: Academic Journal
      doctype:
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    language: English
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