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.
In the evolving landscape of data enablement, the need to leverage data for driving efficiency, spurring innovation, and fostering collaboration has never been greater.
I wrote in our September newsletter about how trial sponsors are well advised to view transparency as much more than just a box that has to be checked off.
Privacy Analytics is wholly committed to the global effort to respond to COVID-19.
Compliance is important, and the first step for many transparency programs needing to satisfy EMA Policy 0070 and new Health Canada guidance.
Should sponsors integrate risk-based anonymization across both documents and structured individual patient data (S-IPD)?
Unstructured data, such as medical notes, pose unique challenges with regards to anonymization.
Health Canada has introduced new regulatory guidance for anonymizing clinical study reports.
Privacy Rights in the Digital Era was the headline theme for this event.
“Making healthcare big data & AI work for everyone, every day” was held on November 21 2018 at Au Premier in Zürich, Switzerland.
A not-for-profit organization founded in 2007, with corporate offices in Frisco, Texas, the HITRUST Alliance champions programs that safeguard sensitive information...
Presented by Corinium Global Intelligence, and sponsored in part by Privacy Analytics, among a distinguished list of global organizations...
HITRUST 2018 is the only event dedicated to exploring all aspects of risk management, information security, privacy and utilization...
Privacy Analytics is pleased to partner with Vivli: a new, groundbreaking digital platform where researchers can request and analyze clinical trial data...
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