In 2024, we shared several short articles about de-identified or anonymized data. Here, we take a look at how they intersect.
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: ...
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
Many organizations are familiar with statistical assessments of identifiability, like Expert Determinations under HIPAA or anonymization assessments under other regulations like the GPDR.
Sensitive data can be reused in many ways to improve healthcare services, uncover new insights and opportunities...
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 ...
Many healthcare organizations pool datasets from different sources to build a more complete picture of a patient’s health and treatment.
Here are seven micro-stories showcasing how our clients are safely and effectively unlocking value from structured and unstructured data.
Anonymized data can be a valuable resource for advancing research and achieving socially and organizationally beneficial outcomes.
There is a tremendous opportunity to use data safely and responsibility to the benefit of people and society.
“Making healthcare big data & AI work for everyone, every day” was held on November 21 2018 at Au Premier in Zürich, Switzerland.
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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