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De-Identification Blog

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

Using Spark NLP to De-Identify Doctor Notes in the German Language

Intro Clinical documents and doctor’s notes are significant resources for clinical and pharma research. There are many publications and examples about clinical notes de-identification using rule-based and machine learning /...

Large-scale data de-identification enables healthcare data monetization

Healthcare providers and well-established players in the healthcare space possess vast amounts of unstructured patient-level data. This data has tremendous value, yet it stays primarily untapped due to the sensitivity...

John Snow Labs De-Identification Solution Enables Data Monetization and Healthcare Innovation

Healthcare Organizations Can Now Leverage Larger and More Diverse Datasets to Improve Operations and Care John Snow Labs, the Healthcare AI and NLP company and developer of the Spark NLP...

De-identification under HIPAA: 5 Frequently Asked Questions

Introduction  If you were a doctor consulting with another doctor, you might naturally say, “I had a case like that three years ago, and here’s what I did.” You wouldn’t...

Accurate Medical Data De-identification with John Snow Labs’ De-identification Service

Modern-day wise folks say that “data is the new oil”. Data supports cutting-edge research, drives innovation, and helps with the development of solutions to real-world problems. This is especially true...