Percorrer por autor "Lima, Vinícius Costa"
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- A computational infrastructure for semantic data integration towards a patient-centered database for Tuberculosis carePublication . Lima, Vinícius Costa; Bernardi, Filipe Andrade; Domingues, Michael; Kritski, Afrânio Lineu; Rijo, Rui Pedro Charters Lopes; Alves, DomingosTuberculosis 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.
- Development and evaluation of an interoperable system based on the semantic web to enhance the management of patients’ tuberculosis dataPublication . Pellison, Felipe Carvalho; Rijo, Rui Pedro Charters Lopes; Lima, Vinícius Costa; Lima, Ricardo Roberto de; Martinho, Ricardo; Correia, Ricardo João Cruz; Alves, DomingosTuberculosis (TB), despite all the efforts and progress made in the last decade, continues to be very relevant in Brazil as well as in other Portuguese-speaking countries, so there is the need to join efforts for increasing the effectiveness of the fight against TB. Therefore, the epidemiological surveillance system of TB requires, not only the implementation of basic prevention and care actions, but also the strengthening of the integration between the different health services, programs and levels of care, whose resolvability varies according to financial, technical and human resources, as well as service infrastructure that comprise the network of attention. The deepening and broadening of data management techniques must constantly be carried out to achieve, at a higher level, integration and integrity of the ideal and desirable health care. Then, the goal of this article is to describe the research methods used to develop an information system using systems interoperability techniques based on the Semantic Web paradigm that will contribute to the activities of epidemiological surveillance and the follow-up of TB patients.
- Integrating Tuberculosis data in State of São Paulo over Semantic Web: a proof of conceptPublication . Pellison, Felipe Carvalho; Lima, Vinícius Costa; Rijo, Rui Pedro Charters Lopes; Alves, DomingosAlthough tuberculosis is a curable disease and, in most cases, with low cost drugs, its mortality still is a global concern. This facts turns our attention to management issues and the difficulties related to retrieving data of interest that are powdered on many applications. This work presents a semantic web approach to achieve functional and semantic interoperability between two applications in State of São Paulo that contain tuberculosis data. By combining a theoretical-practical development, the geolocalization tool created is a proof of concept that could help managers to take strategic decisions and develop better health policies by showing the distribution of tuberculosis cases across the state. This work stands out the importance of working in solutions that could improve the quality of data in health field and daily activities of health professionals.