The Box Plot by RPID/Study Description report allows you to analyze dose indices by exam within your facility. This is a good way to identify and analyze high-volume exams for specific scanners in a given time period.


Access the report by selecting Box Plot by RPID/Study Description from the menu, after logging in to the report toolThe report may be filtered by

  • Data Type (unit of measure): CTDIvol, DLP or SSDE; either maximum value across scans or total for the exam

Note: Maximum and total values are the same for single-scan exams

  • Age Group

  • Exam Date range

  • Scanner(s)

  • Exam Type, using either RadLex Playbook IDs (RPIDs) or your facility’s Study Descriptions

Note: For Exam Type, you may select multiple RPIDs or all RPIDs, if desired.


Select your criteria of interest and click Search to generate a report.


The following example illustrates how to identify which exams are the most frequent for the given time period. The sample report, below, was created with the following criteria:

  • Data Type: CTDIvol Max across scans

  • Age Group: Adult only

  • Date Range: October 1, 2017 to present

  • Scanners: All

  • Exam Type: RPID, All

DIR SDIR - Box Plot by RPID Sample 1


The graph shows data for a large number of exams. The Summary Stats table, just below the chart, lists basic statistics for each RPID. The legend below the table indicates RPID criterion #1 corresponds to RPID3, #2 is RPID4, etc. The registry-wide median values for each RPID from the most recent aggregate report are also provided, for comparison with our facility.
DIR SDIR - Box Plot by RPID Sample 2


We next refine the search criteria by picking a single RPID from the Summary Stats table to create a chart showing the distribution of values within a standardized exam name.

DIR SDIR - Box Plot by RPID Sample 3


For this exam, although the distribution is fairly large, the median value for the facility (51) is nearly the same as the median entire registry (50.1) from the most recent aggregate report published in June 2017.


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