Manual logs are expensive, inefficient, error-prone and not sustainable.
Instant access to 30+ technical parameters of images: TE, TR, NEX, SAR, resolution, sequence name, etc
Ready for any question or pattern analysis.
“If you can’t measure it, you can’t improve it”
Monitoring and driving the increased number
of fast scans with data
“ The platform was key in reducing sedation by 20%, having an impact not only on the bottom line but also on the patient experience & health ”
Retire your notebook and your manual logs. We are extracting, cleaning, harmonizing and organizing all the data you need from the scanner data itself (DICOM) and from other sources.
While DICOM provides a basic standard for describing the geometry of images for radiological interpretation, it fails at providing an ontology that describes imaging exams - it was designed for a different purpose and has been incompatibly extended by different vendors.
After years of R&D, Quantivly has built an ontology that starts from DICOM and, using data intelligence and machine learning, builds upon it to construct the first real-time, unified, vendor-agnostic description of imaging exams.