dc.contributor.author | Taylor, M | |
dc.contributor.author | Wilson, J | |
dc.date.accessioned | 2020-12-22T03:27:49Z | |
dc.date.available | 2020-12-22T03:27:49Z | |
dc.date.issued | 2020 | |
dc.identifier | pii: 5740808 | |
dc.identifier.citation | Taylor, M. & Wilson, J. (2020). Reasonable Expectations of Privacy and Disclosure of Health Data. Medical Law Review, 28 (2), pp.442-443. https://doi.org/10.1093/medlaw/fwaa004. | |
dc.identifier.issn | 0967-0742 | |
dc.identifier.uri | http://hdl.handle.net/11343/257859 | |
dc.description.abstract | In one prominent case, Royal Free London NHS Foundation Trust shared the records of 1.6 million NHS patients with DeepMind for the development and testing of an App for detecting acute kidney injury, it argued, on the basis of implied consent for direct care. This was despite the fact that at the time that the data was shared, no steps were taken to
make patients aware of this fact, and that only a small percentage of the 1.6 million patients would ever develop an acute kidney injury. | |
dc.language | eng | |
dc.publisher | Oxford University Press (OUP) | |
dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | |
dc.title | Reasonable Expectations of Privacy and Disclosure of Health Data | |
dc.type | Journal Article | |
dc.identifier.doi | 10.1093/medlaw/fwaa004 | |
melbourne.affiliation.department | Melbourne Law School | |
melbourne.source.title | Medical Law Review | |
melbourne.source.volume | 28 | |
melbourne.source.issue | 2 | |
melbourne.source.pages | 442-443 | |
dc.rights.license | CC BY | |
melbourne.elementsid | 1454385 | |
melbourne.openaccess.pmc | http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7286746 | |
melbourne.openaccess.status | Published version | |
melbourne.contributor.author | Taylor, Mark | |
dc.identifier.eissn | 1464-3790 | |
melbourne.accessrights | Open Access | |