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Computed Radiography Dose Data Mining and Surveillance as an Ongoing Quality Assurance Improvement Process

¹ Department of Radiology, School of Medicine, University of Washington, 1959 NE Pacific St., Seattle, WA 98195-7987.
² Department of Radiology, Harborview Medical Center, Seattle, WA.

Abstract

OBJECTIVE. A data-mining program extracts computed radiography (CR) sensitivity-number (S-number) information from the PACS at our institution on a monthly basis as an ongoing quality assurance (QA) improvement project. These data are compared with the previous month's data and departmental S-number goals. The results are presented at monthly QA meetings. The S-number trends are then used by technologists to modify radiographic technique charts to reach the departmental S-number target range goals.

CONCLUSION. This cyclic QA improvement process shows that mining PACS data can be useful in reducing patient radiation dose and interexamination dose variance.

Keywords: ALARA concept • computed radiography • data-mining program • dosimetry • PACS • radiation dose • radiologic physics • S number

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