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 ![RadQA](https://images.g2crowd.com/uploads/product/image/large_detail/large_detail_51fd19dc6c47c83b3e91bcb1285b731a/radqa.svg "RadQA")
](/products/radqa/reviews)

# RadQA Discussions

RadQA is a radiology quality-assurance workstation, currently offered as a pilot to imaging departments and shown on a demo dataset. It connects to a DICOMweb PACS, an HL7 v2 RIS feed, a FHIR R4 server or a local DICOM folder and runs four kinds of check on each study: report QA (laterality conflicts, impression versus findings, critical-result communication, missing follow-up), protocol QA, image QA and RADPEER-style peer review with deterministic sampling. Findings land in a worklist with the evidence quoted from the report; an AI agent can propose next steps, and any write-back needs explicit approval. It runs as a desktop app with local storage. RadQA is a QA assistant, not a diagnostic or medical device. Pricing on request.

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