Combining deterministic and probabilistic matching to reduce data linkage errors in hospital administrative data
نویسندگان
چکیده
منابع مشابه
Probabilistic linking to enhance deterministic algorithms and reduce linkage errors in hospital administrative data
background The pseudonymisation algorithm used to link together episodes of care belonging to the same patient in England [Hospital Episode Statistics ID (HESID)] has never undergone any formal evaluation to determine the extent of data linkage error. Objective To quantify improvements in linkage accuracy from adding probabilistic linkage to existing deterministic HESID algorithms. Methods Inpa...
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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 (PICANet) database, covering 33 paediatric intensive care units in England, Scotland and Wales. ...
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ژورنال
عنوان ژورنال: International Journal of Population Data Science
سال: 2017
ISSN: 2399-4908
DOI: 10.23889/ijpds.v1i1.316