Percorrer por autor "Bernardi, Filipe Andrade"
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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.
- Data Integration in the Brazilian Public Health System for Tuberculosis: Use of the Semantic Web to Establish InteroperabilityPublication . Pellison, Felipe Carvalho; Rijo, Rui Pedro Charters Lopes; Lima, Vinicius Costa; Crepaldi, Nathalia Yukie; Bernardi, Filipe Andrade; Galliez, Rafael Mello; Kritski, Afrânio; Abhishek, Kumar; Alves, DomingosBackground: 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.
- Mais do que palavras: uma análise das emoções brasileiras durante a COVID-19Publication . Bernardi, Filipe Andrade; Lima, Vinicius Costa; Rijo, Rui Pedro Charters Lopes; Alves, DomingosEste estudo teve como objetivo investigar e analisar as emoções do público frente aos eventos relacionados ao coronavírus no Brasil. A ciência de dados pode ajudar a explicar os fatos e reduzir o ruído que interfere na compreensão do real impacto de surtos virais em nossas vidas. A rede social Twitter foi analisada para verificar a reação da população ao isolamento social e à quarentena. Para explorar as preocupações do público em relação à evolução da COVID-19 e as posturas governamentais adotadas, uma amostra diária de tweets em língua portuguesa foi coletada para realização de análises de sentimentos e emoções. Ressalta-se a importância da disponibilidade e confiabilidade da informação, da decorrente necessidade da transparência de sistemas de informação e do empoderamento de profissionais de saúde e gestores locais para a tomada das melhores decisões de vigilância e/ou clínicas de forma transversal aos diferentes setores da saúde.
- Mental health indicators in the hospitalization process in a Brazilian psychosocial care networkPublication . Lima, Inacia Bezerra de; Alves, Domingos; Vinci, Andre Luiz Teixeira; Rijo, Rui Pedro Charters Lopes; Martinho, Ricardo; Yamada, Diego Bettiol; Bernardi, Filipe Andrade; Furegato, Antonia Regina FerreiraWe aim to present the use and viability of mental health indicators at a Brazilian reference psychiatric hospital. We elaborated a Business Process Model and Notation based model of the patients' hospitalization process based on semi-structured interviews with managers and professionals of the hospital. We analyzed the model and selected a set of 6 mental health indicators, based on evidence-based practice from other countries, using information from several Health Information Systems regarding hospitalizations from 2013 to 2017. In Brazil, there is a lack of methods for the manager to measure the actions carried out in mental health. Thus, the method proposed in this article can be used as metrics to assess the impact of public policy implementation and to assist planning and decision-making based on evidence in mental health.
- The perception of health providers about an artificial intelligence applied to Tuberculosis video-based treatment in Brazil: a protocol proposalPublication . Santos, Luiz Ricardo Albano dos; Bernardi, Filipe Andrade; Prado, Gabriela Cristina Silva; Lima, Vinicius Costa; Crepaldi, Nathalia Yukie; Marçal, Matheus Angerami; Galliez, Rafael Mello; Ruffino-Netto, Antonio; Alves, Domingos; Rijo, Rui Pedro Charters LopesTuberculosis (TB) is an infectious-contagious disease that affects mainly the lungs, ranking in the 10 main causes of death in the world. Non-adherence or non-treatment of TB may prolong transmissibility, increase the risk of drug resistance and lead to patient death. One step forward is the use of smartphones for monitoring the medication intake via video (VDOT). VDOT is a more acceptable and cost-effective option than the traditional DOT (in person). However, the VDOT system requires a professional (verifying agent) to check all medication intake daily. Based on an initiative that aims to replace the verifying agent with an artificial intelligence tool capable of validating it automatically through computer vision techniques (AI-based VDOT), the main goal of this work is to measure the acceptance and perception of Brazilian health professionals on the AI-Based VDOT before implementing this technology by using a quantitative questionnaire as instrument. To achieve this, we have developed a proposal of study protocol that describes the steps to create, apply and validate this research
- Proposal for a health information management model based on Lean thinkingPublication . Teixeira, Jéssica Cristina Caretta; Bernardi, Filipe Andrade; Rijo, Rui Pedro Charters Lopes; Alves, DomingosAlthough assessing quality in the health field is a prominent challenge, there is unanimity among managers that it is necessary to select appropriate assessment systems and methods to assist the administration of services and provide decision-making with the least degree of uncertainty possible. Lean, also known as lean philosophy, is a management model that has been used in the area of Health. The management of data, knowledge, and health services must be carefully performed, so that quality care can be offered. at all levels of care. In this way, when implementing Lean strategies in Information Technology, it is necessary to evaluate all its processes within the institution to eliminate waste, structure functions within the applied methodology and measure improvement at all levels of the organization. Thus, the general objective of this article is that of a study that leads to a health information management model based on Lean thinking in the municipality of Ituverava. The highly heterogeneous, and sometimes ambiguous, nature of the medical language and its constant evolution, the high amount of data generated constantly by the automation of processes and the emergence of new technologies constitute the foundation for the inevitable computerization of health to promote the production and management of knowledge. Adopting Lean thinking in health may seem a challenge initially for managers and team members, but as the first results begin to appear, profound and concrete changes are visible for positive transformation for improvements in the quality of the service provided, until the culture can be learned completely in order to have the perfect care.
- TBI Score - use of a mobile score system to aid the diagnosis of tuberculosis in children in BrazilPublication . Bernardi, Filipe Andrade; Lima, Vinicius Costa; Sampaio, Danilo Maglio; Santos, Marcelo Cordeiro dos; Rijo, Rui Pedro Charters Lopes; Alves, DomingosTuberculosis (TB) is a bacterial infectious disease that mainly affects the lungs and remains as one of the biggest public health problems in the world. The treatment methods currently available can cure almost all cases. Due to the difficulty of bacteriological confirmation of TB in children, the Brazilian Ministry of Health recommended the use of a scoring system for the diagnosis of pulmonary TB in childhood, covering aspects of clinical, radiological and epidemiological data. The general objective of this work is the development and availability of a mobile application based on the score described in the Manual of Recommendations for TB Control in Brazil. The application was organized to make the questionnaire flow linear, while maintaining the accordance with the structure presented in the manual. The score adapted to the Brazilian context allows health professionals to underpin their decisions with reliable information.