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Open Pseudonymisation Project Julia Hippisley-Cox, 2011 www.openpseudonymisation.org.

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Presentation on theme: "Open Pseudonymisation Project Julia Hippisley-Cox, 2011 www.openpseudonymisation.org."— Presentation transcript:

1 Open Pseudonymisation Project Julia Hippisley-Cox, 2011 www.openpseudonymisation.org

2 QData Linkage Project QResearch database already linked toQResearch database already linked to deprivation datadeprivation data cause of death datacause of death data Very useful for researchVery useful for research better definition & capture of outcomesbetter definition & capture of outcomes Health inequality analysisHealth inequality analysis Improved performance of QRISK and similar scoresImproved performance of QRISK and similar scores Decided to link to additional data sourcesDecided to link to additional data sources

3 QResearch Linkage Project Data source Content

4 New approach pseudonymisation Need approach which doesn’t extract identifiable data but still allows linkageNeed approach which doesn’t extract identifiable data but still allows linkage Legal ethical and NIGB approvalsLegal ethical and NIGB approvals Secure, ScalableSecure, Scalable Reliable, AffordableReliable, Affordable Generates ID which are Unique to projectGenerates ID which are Unique to project Potential to be used NHS wide as Open Source Common SpecificationPotential to be used NHS wide as Open Source Common Specification

5 Pseudonymisation: method Scrambles NHS number BEFORE extraction from clinical systemScrambles NHS number BEFORE extraction from clinical system Takes NHS number + project specific encrypted ‘salt code’Takes NHS number + project specific encrypted ‘salt code’ One way hashing algorithm (SHA2-256)One way hashing algorithm (SHA2-256) Applied twice in to separate locations before data leaves EMISApplied twice in to separate locations before data leaves EMIS Apply identical software to external datasetApply identical software to external dataset Allows two pseudonymised datasets to be linkedAllows two pseudonymised datasets to be linked Cant be reversed engineeredCant be reversed engineered

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