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Data Integration in the Brazilian Public Health System for Tuberculosis: Use of the Semantic Web to Establish Interoperability

2020-07-06Journal article Open access
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datacite.subject.fosCiências Médicas::Ciências da Saúde
datacite.subject.fosCiências Naturais::Ciências da Computação e da Informação
datacite.subject.sdg07:Energias Renováveis e Acessíveis
datacite.subject.sdg09:Indústria, Inovação e Infraestruturas
datacite.subject.sdg11:Cidades e Comunidades Sustentáveis
dc.contributor.authorPellison, Felipe Carvalho
dc.contributor.authorRijo, Rui Pedro Charters Lopes
dc.contributor.authorLima, Vinicius Costa
dc.contributor.authorCrepaldi, Nathalia Yukie
dc.contributor.authorBernardi, Filipe Andrade
dc.contributor.authorGalliez, Rafael Mello
dc.contributor.authorKritski, Afrânio
dc.contributor.authorAbhishek, Kumar
dc.contributor.authorAlves, Domingos
dc.date.accessioned2025-09-09T11:31:37Z
dc.date.available2025-09-09T11:31:37Z
dc.date.issued2020-07-06
dc.description.abstractBackground: Interoperability of health information systems is a challenge due to the heterogeneity of existing systems at both the technological and semantic levels of their data. The lack of existing data about interoperability disrupts intra-unit and inter-unit medical operations as well as creates challenges in conducting studies on existing data. The goal is to exchange data while providing the same meaning for data from different sources. Objective: To find ways to solve this challenge, this research paper proposes an interoperability solution for the tuberculosis treatment and follow-up scenario in Brazil using Semantic Web technology supported by an ontology. Methods: The entities of the ontology were allocated under the definitions of Basic Formal Ontology. Brazilian tuberculosis applications were tagged with entities from the resulting ontology. Results: An interoperability layer was developed to retrieve data with the same meaning and in a structured way enabling semantic and functional interoperability. Conclusions: Health professionals could use the data gathered from several data sources to enhance the effectiveness of their actions and decisions, as shown in a practical use case to integrate tuberculosis data in the State of São Paulo.eng
dc.description.sponsorshipThis research is supported by Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq) of the Ministry of Science, Technology, Innovations and Communications (process: 440758/2018-1) and the Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES), a foundation of the Ministry of Education of Brazil and the Ministry of Health (process: 88887.141211/2017-00).
dc.identifier.citationPellison F, Rijo R, Lima V, Crepaldi N, Bernardi F, Galliez R, Kritski A, Abhishek K, Alves D Data Integration in the Brazilian Public Health System for Tuberculosis: Use of the Semantic Web to Establish Interoperability JMIR Med Inform 2020;8(7):e17176 URL: https://medinform.jmir.org/2020/7/e17176 DOI: https://doi.org/10.2196/17176.
dc.identifier.doi10.2196/17176
dc.identifier.eissn2291-9694
dc.identifier.urihttp://hdl.handle.net/10400.8/14015
dc.language.isoeng
dc.peerreviewedyes
dc.publisherJMIR Publications
dc.relation.hasversionhttps://medinform.jmir.org/2020/7/e17176
dc.relation.ispartofJMIR Medical Informatics
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjecthealth information systems
dc.subjecttuberculosis
dc.subjectontology
dc.subjectinteroperability
dc.subjectelectronic health records
dc.subjectsemantic web
dc.titleData Integration in the Brazilian Public Health System for Tuberculosis: Use of the Semantic Web to Establish Interoperabilityeng
dc.typejournal article
dspace.entity.typePublication
oaire.citation.endPage15
oaire.citation.issue7
oaire.citation.startPage1
oaire.citation.titleJMIR Medical Informatics
oaire.citation.volume8
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85
person.familyNameRijo
person.givenNameRui
person.identifier.orcid0000-0002-9348-0474
person.identifier.scopus-author-id36861366200
relation.isAuthorOfPublicatione69d7599-392c-4f8f-a96a-bf0a0d15c8b1
relation.isAuthorOfPublication.latestForDiscoverye69d7599-392c-4f8f-a96a-bf0a0d15c8b1

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Background: Interoperability of health information systems is a challenge due to the heterogeneity of existing systems at both the technological and semantic levels of their data. The lack of existing data about interoperability disrupts intra-unit and inter-unit medical operations as well as creates challenges in conducting studies on existing data. The goal is to exchange data while providing the same meaning for data from different sources. Objective: To find ways to solve this challenge, this research paper proposes an interoperability solution for the tuberculosis treatment and follow-up scenario in Brazil using Semantic Web technology supported by an ontology. Methods: The entities of the ontology were allocated under the definitions of Basic Formal Ontology. Brazilian tuberculosis applications were tagged with entities from the resulting ontology. Results: An interoperability layer was developed to retrieve data with the same meaning and in a structured way enabling semantic and functional interoperability. Conclusions: Health professionals could use the data gathered from several data sources to enhance the effectiveness of their actions and decisions, as shown in a practical use case to integrate tuberculosis data in the State of São Paulo.
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