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A computational infrastructure for semantic data integration towards a patient-centered database for Tuberculosis care

2022Comunicação em conferência Acesso aberto
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datacite.subject.fosCiências Naturais::Ciências da Computação e da Informação
datacite.subject.sdg03:Saúde de Qualidade
datacite.subject.sdg07:Energias Renováveis e Acessíveis
datacite.subject.sdg11:Cidades e Comunidades Sustentáveis
dc.contributor.authorLima, Vinícius Costa
dc.contributor.authorBernardi, Filipe Andrade
dc.contributor.authorDomingues, Michael
dc.contributor.authorKritski, Afrânio Lineu
dc.contributor.authorRijo, Rui Pedro Charters Lopes
dc.contributor.authorAlves, Domingos
dc.date.accessioned2026-04-27T11:36:33Z
dc.date.available2026-04-27T11:36:33Z
dc.date.issued2022
dc.descriptionConference name - 2021 International Conference on ENTERprise Information Systems, CENTERIS 2021 / ProjMAN 2021 - International Conference on Project MANagement / HCist 2021 and International Conference on Health and Social Care Information Systems and Technologies 2021; Conference date - 13 October 2021 - 15 October 2021; Conference code - 176140
dc.description.abstractTuberculosis is an infectious disease that is among the top 10 causes of death in the world and Brazil ranks in the top 30 high TB burden countries. In this scenario, data integration and sharing are crucial to the construction of efficient and effective evidence-based decision-making tools and to enable data-driven research. Through a socio-technical approach, this work proposes a computational infrastructure composed of a functional and semantic interoperability layer and security mechanisms to integrate national level health information systems towards a patient-centered unified database to provide a broad view of a patient across several isolated databases. The CMIID, a medical information identifier for data harmonization, developed by the University of Porto, was used for the linkage of patients across these health information systems and to perform records anonymization for privacy of personal health information. Through the integration of such systems, it is possible to gather, summarize and visualize TB data in a single system, which can be useful for health professionals and managers. Therefore, this work sought to promote the integration of disparate systems and the availability of data to support decision-making and research, which are fundamental for improving the quality of TB services in Brazil.eng
dc.description.sponsorshipThis study is supported by the São Paulo Research Foundation (FAPESP) - grant number 2020/01975-9, coordinated by author D.A and is under development in the Bioengineering Postgraduate Program (EESC/FMRP/IQSC) of the University of São Paulo.
dc.identifier.citationVinícius Costa Lima, Filipe Andrade Bernardi, Michael Domingues, Afrânio Lineu Kritski, Rui Pedro Chaters Lopes Rijo, Domingos Alves, A computational infrastructure for semantic data integration towards a patient-centered database for Tuberculosis care, Procedia Computer Science, Volume 196, 2022, Pages 434-438, ISSN 1877-0509, https://doi.org/10.1016/j.procs.2021.12.033.
dc.identifier.doi10.1016/j.procs.2021.12.033
dc.identifier.eissn1877-0509
dc.identifier.urihttp://hdl.handle.net/10400.8/16199
dc.language.isoeng
dc.peerreviewedyes
dc.publisherElsevier
dc.relation.hasversionhttps://www.sciencedirect.com/science/article/pii/S1877050921022560?via%3Dihub
dc.relation.ispartofProcedia Computer Science
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjecttuberculosis
dc.subjectinteroperability
dc.subjectsemantic web
dc.subjecthealth information systems
dc.subjectdecision support
dc.subjectdata integration
dc.titleA computational infrastructure for semantic data integration towards a patient-centered database for Tuberculosis careeng
dc.typeconference paper
dspace.entity.typePublication
oaire.citation.conferenceDate2021-10
oaire.citation.conferencePlaceBraga, Portugal
oaire.citation.endPage438
oaire.citation.startPage434
oaire.citation.titleProcedia Computer Science
oaire.citation.volume196
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85
person.familyNameRijo
person.givenNameRui Pedro Charters Lopes
person.identifier.ciencia-idE71D-3237-849C
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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Tuberculosis is an infectious disease that is among the top 10 causes of death in the world and Brazil ranks in the top 30 high TB burden countries. In this scenario, data integration and sharing are crucial to the construction of efficient and effective evidence-based decision-making tools and to enable data-driven research. Through a socio-technical approach, this work proposes a computational infrastructure composed of a functional and semantic interoperability layer and security mechanisms to integrate national level health information systems towards a patient-centered unified database to provide a broad view of a patient across several isolated databases. The CMIID, a medical information identifier for data harmonization, developed by the University of Porto, was used for the linkage of patients across these health information systems and to perform records anonymization for privacy of personal health information. Through the integration of such systems, it is possible to gather, summarize and visualize TB data in a single system, which can be useful for health professionals and managers. Therefore, this work sought to promote the integration of disparate systems and the availability of data to support decision-making and research, which are fundamental for improving the quality of TB services in Brazil.
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