title: EHR-based disease registries to support integrated care in a health neighbourhood: an ontology-based methodology.
abstract: Disease registries derived from Electronic Health Records (EHRs) are widely used for chronic disease management. We approached registries from the perspective of integrated care in a health neighbourhood, considering data quality issues such as semantic interoperability (consistency), accuracy, completeness and duplication. Our proposition is that a realist ontological approach is required to accurately identify patients in an EHR or data repository, assess data quality and fitness for use by the multidisciplinary integrated care team. We report on this approach with routinely collected data in a practice based research network in Australia.
authors.affiliation: UNSW Medicine Australia.
authors.forename: Siaw-Teng
authors.initials: ST
authors.lastname: Liaw
authors.affiliation: UNSW Medicine Australia.
authors.forename: Jane
authors.initials: J
authors.lastname: Taggart
authors.affiliation: UNSW Medicine Australia.
authors.forename: Hairong
authors.initials: H
authors.lastname: Yu
mesh_terms: D001315:Australia / Q000453:epidemiology; D064229:Biological Ontologies; D002908:Chronic Disease / Q000145:classification* / Q000453:epidemiology*; D057286:Electronic Health Records / Q000458:organization & administration*; D006801:Humans; D016247:Information Storage and Retrieval / Q000379:methods*; D008498:Medical Record Linkage / Q000379:methods*; D009323:Natural Language Processing; D012042:Registries; D018511:Systems Integration