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A computational infrastructure for semantic data integration towards a patient-centered database for Tuberculosis care
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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. | 716.5 KB | Adobe PDF |
Orientador(es)
Resumo(s)
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.
Descrição
Conference 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
Palavras-chave
tuberculosis interoperability semantic web health information systems decision support data integration
Contexto Educativo
Citação
Vinícius 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.
Editora
Elsevier