title: Mapping Local Codes to Read Codes.
abstract: Background &amp; Objectives: Legacy laboratory test codes make it difficult to use clinical datasets for meaningful translational research, where populations are followed for disease risk and outcomes over many years. The Health Informatics Centre (HIC) at the University of Dundee hosts continuous biochemistry data from the clinical laboratories in Tayside and Fife dating back as far as 1987. However, the HIC-managed biochemistry dataset is coupled with incoherent sample types and unstandardised legacy local test codes, which increases the complexity of using the dataset for reasonable population health outcomes. The objective of this study was to map the legacy local test codes to the Scottish 5-byte Version 2 Read Codes using biochemistry data extracted from the repository of the Scottish Care Information (SCI) Store.
  
  
  METHODS
  Data mapping methodology was used to map legacy local test codes from clinical biochemistry laboratories within Tayside and Fife to the Scottish 5-byte Version 2 Read Codes.
  
  
  RESULTS
  The methodology resulted in the mapping of 485 legacy laboratory test codes, spanning 25 years, to 124 Read Codes.
  
  
  CONCLUSIONS
  The data mapping methodology not only facilitated the restructuring of the HIC-managed biochemistry dataset to support easier cohort identification and selection, but it also made it easier for the standardised local laboratory test codes, in the Scottish 5-byte Version 2 Read Codes, to be mapped to other health data standards such as Clinical Terms Version 3 (CTV3); LOINC; and SNOMED CT.
authors.affiliation: Health Informatics Centre, University of Dundee, Dundee, Scotland, United Kingdom.
authors.forename: Wilfred
authors.initials: W
authors.lastname: Bonney
authors.affiliation: Health Informatics Centre, University of Dundee, Dundee, Scotland, United Kingdom.
authors.forename: James
authors.initials: J
authors.lastname: Galloway
authors.affiliation: Health Informatics Centre, University of Dundee, Dundee, Scotland, United Kingdom.
authors.forename: Christopher
authors.initials: C
authors.lastname: Hall
authors.affiliation: Health Informatics Centre, University of Dundee, Dundee, Scotland, United Kingdom.
authors.forename: Mikhail
authors.initials: M
authors.lastname: Ghattas
authors.affiliation: Health Informatics Centre, University of Dundee, Dundee, Scotland, United Kingdom.
authors.forename: Leandro
authors.initials: L
authors.lastname: Tramma
authors.affiliation: Health Informatics Centre, University of Dundee, Dundee, Scotland, United Kingdom.
authors.forename: Thomas
authors.initials: T
authors.lastname: Nind
authors.affiliation: Health Informatics Centre, University of Dundee, Dundee, Scotland, United Kingdom.
authors.forename: Louise
authors.initials: L
authors.lastname: Donnelly
authors.affiliation: Health Informatics Centre, University of Dundee, Dundee, Scotland, United Kingdom.
authors.forename: Emily
authors.initials: E
authors.lastname: Jefferson
authors.affiliation: Health Informatics Centre, University of Dundee, Dundee, Scotland, United Kingdom.
authors.forename: Alexander
authors.initials: A
authors.lastname: Doney
mesh_terms: D002984:Clinical Laboratory Information Systems; D000068598:Data Accuracy; D066289:Data Curation; D006801:Humans; D012606:Scotland; D018511:Systems Integration
keywords: Clinical Datasets; Data Mapping; Health Data Standards; Read Codes