ArticleAMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science2014
Electronic health records and disease registries to support integrated care in a health neighbourhood: an ontology-based methodology.
Article in AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
2 citing papers in PubMed.
- Usability of a Digital Registry to Promote Secondary Prevention for Peripheral Artery Disease Patients.Mayo Clinic proceedings. Innovations, quality & outcomes · 2021Article
- Integrated health care systems in Asia: an urgent necessity.Clinical interventions in aging · 2018Article
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Authors and funding
4 authors.
Funding
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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.
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Identifiers
25954577PMC4419761What OpenQuestion holds
Registered trials
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