Applied Intelligence

X-RAY: Quality Application

Repeat Reject Analysis (RRA)
Identify root causes, Enable action

Uncovers the root cause of rejected x-ray exams, enabling targeted training, operational efficiency and can
help reduce unnecessary patient dose.

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

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.
  • add
    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.
   
Contact Us

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):
208-216.

*IDG Enterprise Big Data and Analytics Survey 2015