X-RAY: Quality Application


Rejected X-rays lead to: Unnecessary patient dose, decreased throughput, lost revenue potential, wasted staff resources & time

RRA is a Quality Control (QC) practice :Calculate reject rate, identify root causes, address reject drivers, offer targeted training, modify protocols or system and monitor over time

Applied Intelligence

Fast Facts

  • Redo
    Rejected images can be as high as 25%.1
  • statistics
    40%* have limited availability of skilled employees to analyze data.
  • thumbsup
    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.
  • planner
    Address state regulations which mandate repeat/reject programs (audit preparedness) Reduce privacy & traditional methods of USB data transfer.
  • Dashboard
    Reduce non-value add imaging, increase capacity for diagnostic exams.

Supporting Materials

White Paper - Unleashing the Power of Small Data in Healthcare OrganizationsDownload
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