Explore how John Snow Labs delivers HIPAA- and GDPR-compliant de-identification through consistent PHI obfuscation, deterministic tokenization, and multimodal linking, enabling secure, regulatory-grade data use in healthcare AI, research, and analytics.
What is regulatory-grade de-identification in healthcare? Regulatory-grade de-identification refers to the process of systematically transforming or removing Protected Health Information (PHI) to comply with laws like HIPAA and GDPR. It...
For years, the NLP Lab empowered healthcare teams with a no-code platform to develop and manage AI in a secure environment. It enabled organizations to create domain-specific models, label data,...
The Challenges of Regulatory-Grade De-Identification at Scale Healthcare organizations face a critical dilemma: vast volumes of patient data: free-text notes, structured fields, clinical images, even audio/video are invaluable for research,...
Why is it hard to use clinical guidelines during patient care? Clinical guidelines are foundational to evidence-based care, yet their length and complexity often make them impractical to consult during...
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