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De-Identification Blog

Methods, Tools, and Best Practices for Automated Data De-identification.

DICOM de-identification is workflow-specific because PHI can appear in metadata tags, free-text metadata fields, burned-in image pixels, and encapsulated PDF content. A production pipeline may need to inspect tags, apply...

Clinical de-identification requires removing the 18 HIPAA Safe Harbor identifier categories, the GDPR Article 9 special categories, and the contextual identifiers that make a patient re-identifiable in a longitudinal record....

Every day, healthcare organizations face an impossible balancing act. Clinical teams need AI tools to extract insights from unstructured medical records, validate de-identification results, and accelerate annotation workflows. But every...

TL;DR: Working with clinical text usually means solving two problems at the same time: protecting patient privacy and keeping the information that actually matters. This article walks through new tools that...

Previously, we described how to deploy modern visual LLMs on Databricks environments at Deploying John Snow Labs Medical LLMs on Databricks: Three Flexible Deployment Options. Available options are flexible enough...