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 the data will be used, where it will ...

Data Privacy Considerations for DICOM Anonymization

Across industries, demand for medical images is on the rise. This is due to increased use cases, such as AI, which can support applications for diagnostics, tracking disease progression, and planning ...

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. In these ...

Differential Privacy and Risk Metrics

Sensitive data can be reused in many ways to improve healthcare services, uncover new insights and opportunities that can influence healthcare strategies, and develop data products that address ...

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. The resulting datasets are invaluable for gathering insights ...

7 Effective Ways Providers and Payers Improve Healthcare with Sensitive Data

Here are seven micro-stories showcasing how our clients are safely and effectively unlocking value from structured and unstructured data.

Good Governance for Anonymized Data

Anonymized data can be a valuable resource for advancing research and achieving socially and organizationally beneficial outcomes. Effective and responsible use of anonymized data entails the ...

Advancing Privacy-Enhancing Technologies

There is a tremendous opportunity to use data safely and responsibility to the benefit of people and society. We see an increasing need for the integration and deployment of suites of tools that are ...

Making healthcare big data & AI work for everyone, every day: Business Brunch in Zurich

“Making healthcare big data & AI work for everyone, every day” was held on November 21 2018 at Au Premier in Zürich, Switzerland.

A Primer on Protecting Health Information

With the growing use of electronic medical records, prevalence of electronic insurance claims processing and other hospital software systems, the amount of health data being collected is burgeoning. ...

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