| Radworks™ Quality Control Module v5.1® |
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In many cases, acquired data requires some quality assurance post-processing before it can be permanently stored for general use in a (PACS) archive. This task is generally performed at workstations located between acquisition devices and the hospitals network. These Quality Control workstations fulfill a 'gatekeeper' function by ensuring that acquired images and studies are correct and have the right patient information associated with them before they are made available at other locations on the network. Some examples when post-processing is needed are:
The Quality Control module has been developed for just these situations. It can be added to any of the Viewing workstations. Click to Enlarge |
Consistent Information The Quality Control software provides extremely powerful features to enter or to modify almost any study or patient information prior to permanent archiving. This helps ensure that patient information is consistent throughout the hospital. In addition to patient demographics, all DICOM information, image order, window level settings and annotation be modified. When used correctly, this can save your organization a great deal of work, but it requires very strict control procedures in order to minimize potential risk due to error. Some Applications Because you can modify almost any DICOM field, the Quality Control Module can be used for educational purposes, to change patient data for privacy reasons, to change and update John and Jane Does, and for quality assurance and the post-processing of images. Integration The Quality Control Module has built-in DICOM modality worklist management support and through this and other worklist support it can copy and/or match patient data from HIS/RIS or previous workstation data entries. Automatic Matching is also available in the Quality Control Module (Standard, Review, or Diagnostic level). This facilitates the matching of patient demographics with image data without user interaction. This powerful matching capabilities ensure that patient data from one particular person remains exactly the same for different studies. This function also enhances the 'quality' of the study by importing data for empty fields.
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