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Exploring Semantics in Clinical Data Interoperability

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Autor(es):
do Espirito Santo, Jacqueline Midlej ; de Paula, Erich Vinicius ; Medeiros, Claudia Bauzer ; Guizzardi, G ; Gailly, F ; Maciel, RSP
Número total de Autores: 6
Tipo de documento: Artigo Científico
Fonte: ADVANCES IN CONCEPTUAL MODELING, ER 2019; v. 11787, p. 10-pg., 2019-01-01.
Resumo

The increasing amount of digital clinical information has prompted research in interoperating across numerous clinical data sources. Most solutions to this problem follow one of two main directions: (a) adoption of Electronic Health Records (EHR) standards, or (b) structuring medical knowledge via Knowledge Organizations Systems (KOS). Related research sometimes addresses the combination of the two directions but does not explore the knowledge of KOS, which are just used to define and disambiguate concepts. This paper discusses the solution for clinical data interoperability that we designed and implemented. It is a two step process - (a) we provide initial integration via mediators to provide mappings across heterogeneous sources, and (b) KOS to extend navigation possibilities across data sources. This paper is centered in the second part, discussing the challenges of semantic query expansion for clinical data analysis. We illustrate our solution through a real case study from one of Brazil's largest hospital complexes. (AU)

Processo FAPESP: 16/14172-6 - Investigação de aspectos fisiopatológicos e novas abordagens terapêuticas em doenças tromboembólicas
Beneficiário:Joyce Maria Annichino-Bizzacchi
Modalidade de apoio: Auxílio à Pesquisa - Temático
Processo FAPESP: 13/08293-7 - CECC - Centro de Engenharia e Ciências Computacionais
Beneficiário:Munir Salomao Skaf
Modalidade de apoio: Auxílio à Pesquisa - Centros de Pesquisa, Inovação e Difusão - CEPIDs