title: Electronic health records and 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 (CDM). However, unlike national registries which are specialised data collections, they are usually specific to an EHR or organization such as a medical home. 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 systematically and accurately identify patients in an EHR or data repository of EHRs, assess intrinsic data quality and fitness for use by members of the multidisciplinary integrated care team. We report on this approach as applied to routinely collected data in an electronic practice based research network in Australia.
authors.affiliation: University of New South Wales, Australia ; SW Sydney Local Health District, Australia ; Ingham Institute of Applied Medical Research.
authors.forename: Siaw-Teng
authors.initials: ST
authors.lastname: Liaw
authors.affiliation: University of New South Wales, Australia.
authors.forename: Jane
authors.initials: J
authors.lastname: Taggart
authors.affiliation: University of New South Wales, Australia.
authors.forename: Hairong
authors.initials: H
authors.lastname: Yu
authors.affiliation: University of New South Wales, Australia.
authors.forename: Alireza
authors.initials: A
authors.lastname: Rahimi
keywords: EHR; data quality; data repository; health neighbourhood; integrated care; patient registries; routinely collected data