What is multimodal de-identification and why is it necessary in healthcare? Healthcare data is inherently multimodal. It spans unstructured clinical notes, structured lab results, scanned PDFs, DICOM medical images, and...
Manual data labelling and slow validation trap AI projects in endless pilots and turn audit readiness into a moving target. Generative AI Lab breaks the cycle with a no-code workspace...
What is consistent obfuscation and why does it matter in healthcare? Consistent obfuscation ensures that each instance of PHI is transformed the same way across all documents and data modalities....
Effortless Clinical Text Analysis with Advanced Pretrained Pipelines This blog post explores Healthcare NLP’s Task-Based Clinical Pretrained Pipelines, showcasing how they streamline clinical text analysis with just one-liner codes. By...
What does “regulatory-grade de-identification” mean in healthcare? Regulatory-grade de-identification refers to a comprehensive approach that transforms or removes Protected Health Information (PHI) to meet the highest standards of privacy laws,...
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