Articles

Data Privacy, AI, De-identification, and Anonymization: Putting It All Together

In 2024, we shared several short articles about de-identified or anonymized data. Here, we take a look at how they intersect.

Why Context Matters When Anonymizing Data

If you’ve been involved in anonymization projects (such as Expert Determinations under HIPAA), you may have been asked to describe the data context in detail: ...

How to Work Safely with Unstructured Text Data

Unstructured data sources—including text, images, audio, and video—are rich sources of information.

Motivated Intruder Testing – What, How, and Why?

Many organizations are familiar with statistical assessments of identifiability, like Expert Determinations under HIPAA or anonymization assessments under other regulations like the GPDR.

10 Best Practices for Re-identification Risk Determinations

Re-identification Risk Determinations (RRDs) are assessments where an expert applies generally accepted statistical methods to determine how identifiable individuals are in a dataset.

Learn the Basics of Data Tokenization and Linkage

Increasingly, organizations are looking to link different data assets at the level of specific people to drive benefits for both business and society.

Managing Risks Associated with Linking De-identified Datasets

When linking datasets from different sources to build out a rich and detailed data lake, some less obvious privacy and compliance impacts can arise, even if the datasets being linked are ...

Understanding Re-identification Risk when Linking Multiple Datasets

Many healthcare organizations pool datasets from different sources to build a more complete picture of a patient’s health and treatment.

3 Questions Healthcare Provider Organizations Need to Consider when Implementing Pixel Tracking Technologies

Online tracking technologies, such as pixels, have become a common feature of the modern web and app ecosystem. Pixels and other online tracking technologies...

Filter by Data Type

Categories