title: Quality assessment of automatically extracted data from GPs' EPR.
abstract: There are many secondary benefits to collecting routine primary care data, but we first need to understand some of the properties of this data. In this paper we describe the method used to assess the PPV and sensitivity of data extracted from Belgian GPs' EPR (diagnoses, drug prescriptions, referrals, and certain parameters), using data collected through an electronic questionnaire as a gold standard. We describe the results of the ResoPrim phase 2 project, which involved 4 software systems and 43 practices (10,307 patients). This method of assessment could also be applied to other research networks.
authors.affiliation: Research Institute for Health and Society, UCL, Belgium. Etienne.DeClercq@UCLouvain.be
authors.forename: Etienne
authors.initials: E
authors.lastname: de Clercq
authors.forename: Sarah
authors.initials: S
authors.lastname: Moreels
authors.forename: Viviane
authors.initials: V
authors.lastname: Van Casteren
authors.forename: Nathalie
authors.initials: N
authors.lastname: Bossuyt
authors.forename: Geert
authors.initials: G
authors.lastname: Goderis
authors.forename: Stefaan
authors.initials: S
authors.lastname: Bartholomeeusen
mesh_terms: D001530:Belgium; D057225:Data Mining; D057286:Electronic Health Records / Q000592:standards* / Q000706:statistics & numerical data*; D058006:General Practice / Q000592:standards* / Q000706:statistics & numerical data*; D019983:Guideline Adherence / Q000706:statistics & numerical data*; D055991:Health Records, Personal