Demand for de-identified free-text data has been steadily increasing as organizations seek to drive research, product development, and organizational...
If your organization is focused on maximizing data value, while also protecting data as a core asset, you may be on the horns of a privacy dilemma. Why?
Imagine if every time you wanted to drive your car, you had to inspect and reinstall the seatbelts, airbags...
Patient, device, or other protected data has emerged as an invaluable resource for many organizations in their quest to develop novel and innovative products and offerings.
Building an AI model can require large amounts of data about people, and this data needs to be appropriately handled and managed.
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: ...
Unstructured data sources—including text, images, audio, and video—are rich sources of information.
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.
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