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dc.contributor.authorRagupathy, Rajanen_NZ
dc.contributor.authorYogarajan, Vithyaen_NZ
dc.coverage.spatialNew Zealanden_NZ
dc.date.accessioned2019-03-07T20:06:54Z
dc.date.available2018-07-13en_NZ
dc.date.available2019-03-07T20:06:54Z
dc.date.issued2018en_NZ
dc.identifier.citationRagupathy, R., & Yogarajan, V. (2018). Applying the Reason Model to enhance health record research in the age of ‘big data’. New Zealand Medical Journal, 131(1478), 65–67.en
dc.identifier.urihttps://hdl.handle.net/10289/12399
dc.description.abstractThere is considerable international interest in applying powerful data research techniques (‘big data’) to health records.¹ This will become increasingly viable in New Zealand as previously siloed records held by private primary providers and public secondary institutions become accessible at the regional level—such as through the Midland Clinical Portal—and perhaps eventually even at the national level. Such research could, for instance, uncover the real-world safety and effectiveness of new health technologies, identify health disparities or optimise application of international guidelines in New Zealand.
dc.format.mimetypeapplication/pdf
dc.language.isoenen_NZ
dc.rightsThis article is published in the New Zealand Medical Journal. © NZMA. Used with permission.
dc.titleApplying the Reason Model to enhance health record research in the age of 'big data'.en_NZ
dc.typeJournal Article
dc.relation.isPartOfNew Zealand Medical Journalen_NZ
pubs.begin-page65
pubs.elements-id230536
pubs.end-page67
pubs.issue1478en_NZ
pubs.publication-statusPublished onlineen_NZ
pubs.volume131en_NZ
dc.identifier.eissn1175-8716en_NZ


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