RadSR
SR/OCRStructured reporting, transformed — not just mapped
RadSR turns native DICOM SR and image-only ultrasound / DEXA worksheets into clean, structured measurements — then goes beyond what structured reporting can do on its own: converting units, classifying results, deriving values, even adding an impression, and dropping it all into your reporting fields.
What it does
RadSR is not a one-to-one mapper. It reads native DICOM Structured Reports and OCRs measurements straight off image-only devices, normalizes them, and delivers them into your PACS form, dictation platform, or API. The real value is what it adds on top: convert millimeters to centimeters, classify a femoral-neck T-score as normal, osteopenia, or osteoporosis, compute obstetric percentiles, reconcile the different names two scanners give the same measurement, or generate a one-line impression from the values — enrichments native structured reporting simply cannot carry. And you can tune any of it in plain language, at any time, without a rebuild and without risking the proven base.
Capabilities
- check_circleExtract from native DICOM SR and OCR of image-only ultrasound / DEXA worksheets
- check_circleTransform on the way through — unit conversions, vendor-synonym reconciliation, formatting
- check_circleClassify and derive — T-score categories, obstetric percentiles, computed values SR can’t hold
- check_circleOptionally add a narrative or impression from the measurements, straight into dictation
- check_circleAdjust it in plain language anytime — no code, no rebuild, base prompt never at risk
- check_circleWebhook / HL7 delivery with per-item status and payload inspection
See RadSR in your workflow
Request a walkthrough and pricing tailored to your environment.
mailRequest a Demo