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dc.contributor.authorYogarajan, Vithyaen_NZ
dc.contributor.authorRagupathy, Rajanen_NZ
dc.date.accessioned2019-04-10T02:14:01Z
dc.date.available2019en_NZ
dc.date.available2019-04-10T02:14:01Z
dc.date.issued2019en_NZ
dc.identifier.citationYogarajan, V., & Ragupathy, R. (2019). Research using electronic health records: not all de-identified datasets are created equal. Journal of Primary Health Care, 11(1), 14–15. https://doi.org/10.1071/hc19010en
dc.identifier.issn1172-6156en_NZ
dc.identifier.urihttps://hdl.handle.net/10289/12455
dc.description.abstractWe read the article Research using electronic health records: balancing confidentiality and public good by Wallis et al. with great interest. The authors note general practices need to trust de-identification processes when releasing patient records.¹ Patients have also expressed concerns about de-identification practices.² De-identification encompasses a wide range of practices, and there are no universally accepted standards.²,³ We propose here a three-step scheme for judging de-identified health records: (1) the de-identification standards used (2) the performance of the de-identification system and (3) additional security measures taken to prevent re-identification. Such a scheme may be useful to ethics committees, researchers planning a project and health providers deciding whether to participate.
dc.format.mimetypeapplication/pdf
dc.language.isoen
dc.publisherCSIRO Publishingen_NZ
dc.rightsThis is an open access article licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License
dc.subjectcomputer scienceen_NZ
dc.titleResearch using electronic health records: not all de-identified datasets are created equalen_NZ
dc.typeJournal Article
dc.identifier.doi10.1071/hc19010en_NZ
dc.relation.isPartOfJournal of Primary Health Careen_NZ
pubs.begin-page14
pubs.elements-id236597
pubs.end-page15
pubs.issue1en_NZ
pubs.publication-statusPublisheden_NZ
pubs.volume11en_NZ


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