Addressing contemporary threats in anonymised healthcare data using privacy engineering
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....
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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Nature Portfolio
2025-03-01
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| Series: | npj Digital Medicine |
| Online Access: | https://doi.org/10.1038/s41746-025-01520-6 |
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| _version_ | 1850252346844512256 |
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| author | Sanjiv M. Narayan Nitin Kohli Megan M. Martin |
| author_facet | Sanjiv M. Narayan Nitin Kohli Megan M. Martin |
| author_sort | Sanjiv M. Narayan |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-bee208fb4cbd401fb3c07df5c4904702 |
| institution | OA Journals |
| issn | 2398-6352 |
| language | English |
| publishDate | 2025-03-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | npj Digital Medicine |
| spelling | doaj-art-bee208fb4cbd401fb3c07df5c49047022025-08-20T01:57:40ZengNature Portfolionpj Digital Medicine2398-63522025-03-018111010.1038/s41746-025-01520-6Addressing contemporary threats in anonymised healthcare data using privacy engineeringSanjiv M. Narayan0Nitin Kohli1Megan M. Martin2Stanford University, School of MedicineUniversity of California Berkeley, Center for Effective Global ActionUniversity of California Berkeley, School of Information ScienceAbstract 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.https://doi.org/10.1038/s41746-025-01520-6 |
| spellingShingle | Sanjiv M. Narayan Nitin Kohli Megan M. Martin Addressing contemporary threats in anonymised healthcare data using privacy engineering npj Digital Medicine |
| title | Addressing contemporary threats in anonymised healthcare data using privacy engineering |
| title_full | Addressing contemporary threats in anonymised healthcare data using privacy engineering |
| title_fullStr | Addressing contemporary threats in anonymised healthcare data using privacy engineering |
| title_full_unstemmed | Addressing contemporary threats in anonymised healthcare data using privacy engineering |
| title_short | Addressing contemporary threats in anonymised healthcare data using privacy engineering |
| title_sort | addressing contemporary threats in anonymised healthcare data using privacy engineering |
| url | https://doi.org/10.1038/s41746-025-01520-6 |
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