Data linkage errors in hospital administrative data when applying a pseudonymisation algorithm to paediatric intensive care records

OBJECTIVES: Our aim was to estimate the rate of data linkage error in Hospital Episode Statistics (HES) by testing the HESID pseudoanonymisation algorithm against a reference standard, in a national registry of paediatric intensive care records. SETTING: The Paediatric Intensive Care Audit Network (...

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Detalles Bibliográficos
Autores principales: Hagger-Johnson, Gareth, Harron, Katie, Fleming, Tom, Gilbert, Ruth, Goldstein, Harvey, Landy, Rebecca, Parslow, Roger C
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2015
Materias:
Research Methods
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4550723/
https://www.ncbi.nlm.nih.gov/pubmed/26297363
http://dx.doi.org/10.1136/bmjopen-2015-008118

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4550723/
https://www.ncbi.nlm.nih.gov/pubmed/26297363
http://dx.doi.org/10.1136/bmjopen-2015-008118

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