Record linkage for routinely collected health data in an African health information exchange

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dc.contributor.authorMutemaringa, Themba
dc.contributor.authorHeekes, Alexa
dc.contributor.authorTiffin, Nicki
dc.date.accessioned2023-06-21T07:38:41Z
dc.date.available2023-06-21T07:38:41Z
dc.date.issued2023
dc.description.abstractThe Patient Master Index (PMI) plays an important role in management of patient information and epidemiological research, and the availability of unique patient identifiers improves the accuracy when linking patient records across disparate datasets. In our environment, however, a unique identifier is seldom present in all datasets containing patient information. Quasi identifiers are used to attempt to link patient records but sometimes present higher risk of over-linking. Data quality and completeness thus affect the ability to make correct linkages. This paper describes the record linkage system that is currently implemented at the Provincial Health Data Centre (PHDC) in the Western Cape, South Africa, and assesses its output to date.en_US
dc.identifier.citationMutemaringa, T. et al. (2023). Record linkage for routinely collected health data in an African health information exchange. International Journal of Population Data Science, 8(1), 07. https://doi.org/10.23889/ijpds.v8i1.1771en_US
dc.identifier.issn2399-4908
dc.identifier.urihttps://doi.org/10.23889/ijpds.v8i1.1771
dc.identifier.urihttp://hdl.handle.net/10566/9127
dc.language.isoenen_US
dc.publisherSwansea Universityen_US
dc.subjectBioinformaticsen_US
dc.subjectSouth Africaen_US
dc.subjectPopulation studiesen_US
dc.subjectHealth dataen_US
dc.subjectHealth information systemsen_US
dc.titleRecord linkage for routinely collected health data in an African health information exchangeen_US
dc.typeArticleen_US

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