• X-ray reject rates can be as high as 25%1




  • Patient positioning is the #1 cause of X-ray rejects leading to unnecessary patient dose and impacting department bottom line1,2
  • Can take up to 7 hrs and 230 mouse clicks to access reject data3



X-Ray Quality Application helps enable you to deliver positive outcomes

  • Operational

    • Increase throughput within radiography suite
    • Reduce non-value imaging and increase capacity for diagnostic exams
    • Address state regulations which mandate repeat/reject programs

  • Clinical

    • Help reduce unnecessary radiation exposure to patients
    • Enable targeted solutions for root causes of rejected X-rays
    • Shorter exam time and increased patient comfort

  • Financial

    • Increase productivity of staff
    • Reduce time spent to manually collect and calculate RRA
    • Enable an increased capacity for reimbursable exams
product benefits

Better data. Better outcomes.

  • Visualizing trends


    Drill down to root causes and enable actionable insights with X-Ray Quality App’s visual dashboards

  • View rejected images

    Access to actual rejected images to help you identify root causes and complete your analysis

  • Technologist
    name from RIS

    Access to actual technologist name for every accession number to enable targeted training

  • ROI dashboard

    Displays potential impact of rejected images in terms of opportunity lost of billable exams.

  • Multiple vendors

    Rely on consistent and comprehensive data collected from 6 different vendors

  • On-premise enterprise solution

    Eliminates privacy and security risks from USB data transfers

  • EI/DI evaluation

    Helps reduce dose by displaying exposure/deviation indices for easy analysis

  • QAP tracking

    Tracks detector quality with visual dashboards to show trends and test results

Customer testimonials

X-Ray Quality Application helps customers reduce their repeat/reject rate

  • An academic hospital reduced department repeat/reject rate by 3% in less than 9 months4

  • A new technologist at University of Washington reduced their repeat/reject rate by 20.6% to 6.9%5
  • Humber River technologist reported an individual reduction from 12% to 3% in a 1 month period6,7

Image Gallery

  • X-Ray Quality Application Overview Sketch

    This overview highlights X-ray challenges, GE Healthcare’s X-Ray Quality Application’s solution to these challenges and positive customer outcomes after using X-Ray Quality Application.

  • Analytics X-Ray Ingestion Service (AXIS)

    Automatically pulls and gathers data from compatible and other vendor-connected devices throughout the network, eliminating the time spent manually collecting and analyzing data.

  • Summary report

    Quickly review your facility’s reject rate to determine if it’s improving or getting worse while examining the top contributing factors of rejected X-rays.

  • Detailed report

    Dive deep into the causes of rejected X-rays by operator, time, exam, reject reason, and more. This gives you the flexibility to use an operator name from the X-ray system or from a HIS/RIS data source.

  • RRA technologist view

    The technologist view dashboard provides each technologist with a personal performance report without revealing their colleagues' data.

  • Rejected images

    Access rejected images for further analysis and enable centralized training using actual images without having to go to each X-ray system.

  • Out of desired DI range by technologist

    Measures the exposure level for each type of acquisition by highlighting the outliers by technologist.

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.
2. ASRT, Best Practices in Digital Radiography, ASRT White Paper, (2012). Available at: https://www.asrt.org/docs/default-source/whitepapers/asrt12_bstpracdigradwhp_final.pdf
3. Unleashing the Power of Small Data in Healthcare Organizations, GE Healthcare White Paper, (2017).
4. GE Healthcare data on file.
5. AAPM Presentation “Implementation of An Automated Real-Time Approach to X-Ray Reject Data Analysis and Presentation”, August 8, 2018; D Zamora, B Walton, K Kanal, University of Washington, Seattle, WA.
6. Quote from Dolores Dimitropoulus, Clinical Manager Imaging, Humber River Hospital.

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