One well-recognized way to protect patient privacy is to de-identify health data. However, trends around increases in publicly-available personal data, data linking and aggregation, big data analytics, and computing power are challenging traditional de-identification models. While traditional de-identification techniques may mitigate privacy risk, the possibility remains that such data may be coupled with other information to reveal the identity of the individual.
Last month, a JAMA article demonstrated that an artificial intelligence algorithm could re-identify ...
Blog Editors
Recent Updates
- The Proposed HHS Budget for 2027: Key Takeaways
- Contractor to Pay More Than $17 Million in First DOJ False Claims Act Settlement Alleging Illegal DEI
- Listen: DOJ’s Bulk Sensitive Data Transfer Rule: Key Insights for Health Care Compliance Teams – Diagnosing Health Care
- FDA Launches Home Innovation Challenge for Medical Device Technologies
- FDA Meeting Invites Stakeholders to Weigh in on Dietary Supplement Ingredients