Uma abordagem distribuída para o auxílio ao tratamento da pneumonia adquirida na comunidade

Abstract

The Community Acquired Pneumonia (CAP) is a serious lung infection with a great number of events around the world. In Brazil is the fourth cause of overall death most frequent, and in the USA is the leading cause of deaths from infectious diseases with approximately 600,000 hospitalizations per year. Treat CAP is not a trivial task because it involves a variety of factors, so therefore are created medical protocols containing a set of rules, algorithms and stratifications that aim to guide doctors in the treatment of disease. Although useful these protocols, they are complex and extensive, which makes difficult and time-consuming their query. In order to resolve that, softwares that automate these protocols making faster and simpler their query have been proposed. However the vast majority does not exploit features such as data sharing, something widely beneficial if applied to the medical field. As the main objective of this work is presented a distributed system composed of a Android mobile app called SysPAC, which communicates via Wi-Fi securely through the exchange of encrypted messages with a Rest Web Service Java. This system automates a medical treatment protocol of CAP that assists physicians in manage patients with the disease. The methodology used in this study include the use of a systematic review protocol that helped the search for theoretical framework, besides the adoption of iterative and incremental process OpenUP that guided the development of the proposed system. To validate the tool was conducted performance comparison / Storage / data consumption on the network with similar medical softwares, besides being conducted an experiment in a controlled environment that included the presence of 6 volunteers who carried out pre-defined tasks in the tool in order to validate the application usability aspects. As results it was concluded that the tool uses a few resources from Android compared to other similar tools, and has a quick learning progression seen the evolution of the users performance as performed tasks. Moreover, with the use of a questionnaire submitted to users in order to get their perception about the tool, it was concluded that the application met its purpose.