X-RAY: Quality Application

X-ray quality application – Analytics to drive department efficiency.
Repeat Reject Analytics uncovers the root cause of rejected x-ray exams, enabling targeted training, operational efficiency and can help reduce unnecessary patient dose.

Applied Intelligence

Fast Facts

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    Rejected images can be as high as 25%.1
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    40%* have limited availability of skilled employees to analyze data.
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    RRA can help reduce unnecessary radiation exposure to patients; By revealing root cause of rejected x-rays and enabling targeted solutions.
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    Increase productivity of the technologist, QA, and physicist staff.
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    Address state regulations which mandate repeat/reject programs (audit preparedness) Reduce privacy & traditional methods of USB data transfer.
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    Reduce non-value add imaging, increase capacity for diagnostic exams.

Supporting Materials

White Paper - Unleashing the Power of Small Data in Healthcare Organizations
Sell Sheet- X-Ray Quality Application featuring Repeat-Reject Analytics (RRA)Download
15664-X-ray infographic_v8Download

1. Little, Kevin J., et al. "Unified database for rejected image analysis across multiple vendors in radiography." Journal of the American College of Radiology 14.2 (2017):

*IDG Enterprise Big Data and Analytics Survey 2015