Journal
FRONTIERS IN PUBLIC HEALTH
Volume 10, Issue -, Pages -Publisher
FRONTIERS MEDIA SA
DOI: 10.3389/fpubh.2022.814163
Keywords
privacy; health data; genomic; electronic health records; machine learning; privacy engineering
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This paper examines the application of privacy-enhancing technologies in managing health data privacy and emphasizes the importance of standardizing the application of PETs.
Privacy protection for health data is more than simply stripping datasets of specific identifiers. Privacy protection increasingly means the application of privacy-enhancing technologies (PETs), also known as privacy engineering. Demands for the application of PETs are not yet met with ease of use or even understanding. This paper provides a scope of the current peer-reviewed evidence regarding the practical use or adoption of various PETs for managing health data privacy. We describe the state of knowledge of PETS for the use and exchange of health data specifically and build a practical perspective on the steps needed to improve the standardization of the application of PETs for diverse uses of health data.
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