Addressing contemporary threats in anonymised healthcare data using privacy engineering.
review · Level V
Where this comes from
- Record sourced from PubMed, PMID 40050672.
- Also identified by DOI 10.1038/s41746-025-01520-6 and PMC identifier 11885643.
- Licence recorded as CC BY-NC-ND.
- Because redistribution is not established, this page shows the abstract only. Follow the links below for the full text.
Abstract
Cyber-attacks on healthcare entities and leaks of personal identifiable information (PII) are a growing threat. However, it is now possible to learn sensitive characteristics of an individual without PII, by combining advances in artificial intelligence, analytics, and online repositories. We discuss privacy threats and privacy engineering solutions, emphasizing the selection of privacy enhancing technologies for various healthcare cases. Future solutions must consider dynamic flows of data throughout their lifecycle.