Combining deterministic and probabilistic matching to reduce data linkage errors in hospital administrative data

Combining deterministic and probabilistic matching to reduce data linkage errors in hospital administrative data

ABSTRACT Objectives Data linkage algorithms are used to link together multiple episodes of care belonging to the same patient. For example, the HESID algorithm is used to generate Hospital Episode Statistics (HES) in England. HESID is a deterministic algorithm, requiring identifiers to agree or dis...

Szczegółowa specyfikacja

Opis bibliograficzny
Główni autorzy: Gareth Hagger-Johnson, Katie Harron, Rob Aldridge, Bo Fu, Efrosini Setakis, Harvey Goldstein, Ruth Gilbert
Format: Artykuł
Język:English
Wydane: Swansea University 2017-04-01
Seria:International Journal of Population Data Science
Dostęp online:https://ijpds.org/article/view/316

Internet

https://ijpds.org/article/view/316

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