Data De-identification
Segmed Incognito
Our fully automated pipeline identifies and redacts protected health information (PHI) from DICOMs and medical text reports.
DICOMs, de-identified
Detect:
At a high level, Incognito uses OCR to detect text (including burnt text & handwritten notes) on DICOM images.
Redact:
Automatically black-out identifying information from DICOM images, ensuring the image is safe to use.
Text data, de-identified
We de-identify medical text reports using our proprietary language transformer model.
Direct and indirect patient and institution identifiers are redacted to ensure effective de-identification.
Direct and indirect patient and institution identifiers are redacted to ensure effective de-identification.
99.97% success rate of text de-id under HIPAA Safe Harbor standards
Get in touch
Learn more:
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How is it made available?
Our technology is configurable - we offer de-identification as a hosted service, and as standalone SaaS.
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Who is Incognito for?
Enterprise orgs, startups, research groups, universities, hospitals and more!
Anyone who needs to adhere to regulations and de-identify their data.
Anyone who needs to adhere to regulations and de-identify their data.
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How can I get started?
Get in touch with our team to schedule a demo. You can also take a look at and test our LLM-based de-id playground.
Accelerate your algorithm development pipeline
Curate your training & validation datasets on Segmed Insight today!
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