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...

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Bibliographic Details
Main Authors: Gareth Hagger-Johnson, Katie Harron, Rob Aldridge, Bo Fu, Efrosini Setakis, Harvey Goldstein, Ruth Gilbert
Format: Article
Language:English
Published: Swansea University 2017-04-01
Series:International Journal of Population Data Science
Online Access:https://ijpds.org/article/view/316

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

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