CMS's Proposed New Requirement on Excessive Radiation Dose or Inadequate Image Quality for CT

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Here's what to know about the new CMS reporting Requirements:

In April, CMS announced proposed additions to their electronic clinical quality measures (eCQM) roster, increasing the number of reportable eCQMs by three. Additionally, CMS has proposed that hospitals and critical care centers participating in the Hospital Inpatient Quality (IQR) program adopt three new eCQMs.
One of the proposed eCQMs is titled: “Excessive Radiation Dose or Inadequate Image Quality for Diagnostic Computed Tomography (CT) in Adults (Hospital Level—Inpatient)”. This measure will require the participant to report the:

  • Number of diagnostic CT scans that have a size-adjusted radiation dose greater than the threshold defined for the specific CT category.
  • CT scans with a noise value greater than a threshold specific to the CT category.
  • Number of all diagnostic CT scans performed on patients 18 years and older during the one-year measurement period which have an assigned CT category.

See full proposed CMS rule here
About Mock

Here's how ProAqCT perfectly aligns with the proposed CMS requirements

ProAqCT is your all-in-one solution for comprehensive measurements of global noise and size-adjusted patient dose in every CT exam. By leveraging our industry-leading algorithm, ProAqCT provides a turn-key solution that perfectly aligns with the proposed CMS requirement. Say goodbye to manual categorization and tedious data analysis. With ProAqCT, you can streamline your image quality optimization and effortlessly meet the new reporting requirements.

Let ProAqCT be your trusted partner for CMS Reporting!

Don't settle for outdated solutions or struggle to meet the CMS requirement alone.

While other dose monitoring platforms are just catching up or lack the means to fulfill this requirement, ProAqCT has been at the forefront of robust image quality monitoring since 2018. Throughout these years, we have continuously enhanced our global noise measurements by leveraging machine-learning organ segmentation to implement the global noise index (GNI) methodology by Ahmad et al. (MD Anderson). This approach enables us to offer GNI benchmarking specific to each exam type or CT category, alert notifications for image quality deviations, and intuitive dashboards that offer valuable insights for optimizing image quality.

As you consider options to meet the new reporting requirements, we hope you will consider ProAqCT as a cost effective solution that not only satisfies the current requirements but also drives innovation.

Users can easily compare performance of an exam/procedure between sites and scanners and drill down to the scanner protocol level to identify variances in performance. Starting with the exam/procedure, users can compare mean doses and image quality across various sites. Users can drill down by clicking the column of the bar graph to see the breakdown across scanners within that site. Doses and image quality can be drilled down even further by clicking the scanner column and seeing the dose breakdown by scanner protocol. Dropdowns on each plot allow users to change the quality index used for the drill down analysis.


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