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dc.contributor.authorWillison, Donald
dc.contributor.authorTrowbridge, Joslyn
dc.contributor.authorSullivan, Francis
dc.contributor.authorKeshavjee, Karim
dc.contributor.authorGreiver, Michelle
dc.date.accessioned2018-11-14T16:30:07Z
dc.date.available2018-11-14T16:30:07Z
dc.date.issued2018-09-14
dc.identifier.citationWillison , D , Trowbridge , J , Sullivan , F , Keshavjee , K & Greiver , M 2018 , Principles and operational model for governing Diabetes Action Canada’s data repository for patient-oriented research . in International Journal of Population Data Science . vol. 3 , 594 , Swansea University , International Population Data Linkage Conference (IPDLN 2018) , Banff , Alberta , Canada , 12/09/18 . https://doi.org/10.23889/ijpds.v3i4.594en
dc.identifier.citationconferenceen
dc.identifier.otherPURE: 256459424
dc.identifier.otherPURE UUID: 4037b631-581c-45ba-9a06-2118d3986919
dc.identifier.urihttp://hdl.handle.net/10023/16459
dc.description.abstractDiabetes Action Canada is developing a data repository andregistry of potential research participants to support research,QI, and service to improve diabetes care. Central to the repositoryare pseudonymised linkable electronic medical records (EMRs) from family practices that are participating in theCanadian Primary Care Sentinel Surveillance Network (CPCSSN).
dc.format.extent1
dc.language.isoeng
dc.publisherSwansea University
dc.relation.ispartofInternational Journal of Population Data Scienceen
dc.rightsSeptember 2018 © The Authors. Open Access under CC BY-NC-ND 4.0 (https://creativecommons.org/licenses/by-nc-nd/4.0/deed.en)en
dc.subjectQA75 Electronic computers. Computer scienceen
dc.subjectRA0421 Public health. Hygiene. Preventive Medicineen
dc.subjectT Technologyen
dc.subjectNSen
dc.subject.lccQA75en
dc.subject.lccRA0421en
dc.subject.lccTen
dc.titlePrinciples and operational model for governing Diabetes Action Canada’s data repository for patient-oriented researchen
dc.typeConference itemen
dc.description.versionPublisher PDFen
dc.contributor.institutionUniversity of St Andrews.Population and Behavioural Science Divisionen
dc.contributor.institutionUniversity of St Andrews.School of Medicineen
dc.identifier.doihttps://doi.org/10.23889/ijpds.v3i4.594


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