Desenvolvimento de sistema de informação para monitoramento da esclerose múltipla

• Ano de defesa: 2017
• Autor(a) principal: Souza, Luciana Ferreira de
• Tipo de documento: Dissertação
• Tipo de acesso: Acesso aberto
• Idioma: por
• Instituição de defesa: Universidade Federal da Paraíba; Brasil; Ciências Exatas e da Saúde; Programa de Pós-Graduação em Modelos de Decisão e Saúde; UFPB
• Palavras-chave em Português: Tecnologia da informação; Informática em saúde; Esclerose Múltipla; Tomada de decisão e árvore de decisão; Information technology; Health informatics; Multiple sclerosis; Decision-making and decision tree; CIENCIAS DA SAUDE::SAUDE COLETIVA
• Link de acesso: https://repositorio.ufpb.br/jspui/handle/tede/9053

In the last decades, several countries have directed their actions to the incorporation of innovative technologies, applied in the health field, with the purpose of assisting the performance of professionals and users in the promotion of care, strengthened by public policies. In this context, there is a shortage of technological resources, aimed at comprehensive and multidisciplinary care, directed to patients with Multiple Sclerosis, especially of systems that support decision-making, in the follow-up of this clients, in Reference Centers belonging to the Unified Health System (SUS), this study aims to develop an information system (software prototype) to the monitoring of clinical parameters, indicative of impairment of the functionality of individuals with Multiple Sclerosis. This is a methodological study, of the type applied, involving the production of technology, composed by the stage of the software development process followed by the step of applying the decision tree model. The development of the software prototype followed the steps of the generic software engineering process presented by Pressman, which are: Communication, planning, modeling, construction and delivery. Modeling and prototyping took place from January to September 2016, along with the construction of the prototype's working flow diagram and interfaces. The flowchart was built in the Unified Modeling Language (UML) with the aid of the JUDE tool. The system was developed in PHP (Hipertext Processor) language, which is a script open source language, widely used, and is especially suitable for web development. Therefore, was used a Framework PHP (Laravel 5.2 Open Source), the MySQL as a database technology, and for the development of the screens HTML5, CSS3 and JQUERY were used. For the application of the decision tree model, was used the variables of the 50 patients enrolled in the software, in the Waikato Environment Analyis (WEKA) program, in Version 3.8, specifically the J48 algorithm. The results showed that, although the software prototype still has a path to be covered in future studies that will converge in its validation, it has shown a satisfactory performance for the activity of registration of professionals, patients and research instruments. Regarding the generated decision tree model, this contributed to the identification of the epidemiological and clinical variables associated with the worsening of the disability and also allowed the analysis of the differences of these associations in two distinct groups of treatment of Multiple Sclerosis. Considering all phases and tests of the system, the possibility of generating an electronic registry, which provides agility in the information process and contributes to the planning of the actions to the integrated multiprofessional assistance, as well as, the proposal of application of the decision tree model in order to classify the epidemiological variables associated with worsening disability, using the Expanded Disability Status Scale (EDSS) score, it is expected that the development of this study will awaken the need for further research using decision models that gives opportunity to health teams, especially those facing the complexity of assisting individuals with chronic diseases and progressive degeneration of organic functions.