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As plans were being drawn for Duke Medicine’s new Multidimensional Imaging Lab, its quality control program was ready. The cornerstone of this program-- the error log -- is based on the age-old wisdom Sildamax that improvement happens through recognizing mistakes.

Multidimensional imaging produces extraordinary images of anatomy and pathology, as well as quantitative data. Clinicians may use this information for diagnosis and presurgical planning of vascular disorders, tumor treatment, or trauma disorders.

Yet despite the advanced technology, creation of those images still depends on the abilities of the 3D technologist.

“We’ve developed a program for delivering the highest quality images, while reducing the potential for errors,” says Laura Pierce, MPA, RT (CT), Duke Radiology’s administrative director of multidimensional imaging. “And the center of this training program is based on error types.”

In the imaging lab, a log is kept that records the types of errors and what caused them. At the end of the month, the log is reviewed and training is scheduled based on specific needs.

For example, the segmentation error: “We segment tissues we don’t need to image,” says Pierce. “In that segmentation process, the technologist may cut out too much, so that tissue we need to see is not in the image. Or, the technologist may cut too little, so that there is tissue covering what we need to see. So we might decide that a refresher course for that part of the anatomy is necessary.”

The improvement can be dramatic. At her previous post at another academic medical center, a three-month observation period following by a three-month training intervention period showed an over 50 percent reduction in the error rate.

“We are implementing the same quality assurance program at Duke at our new Multidimensional Imaging Lab,” says Pierce.


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