Dorsal: Ferramenta para Geração de Modelos de Dados para Aplicações voltadas a Saúde e Cuidado de Idosos

• Pedro Oliveira UFC
• Italo Araújo UFC
• Evilasio Junior UFC
• Paulo Duarte UFC
• Ismayle S. Santos UFC
• Rossana M. C. Andrade UFC
• Ivana Cristina H. C. Barreto FIOCRUZ
• Luiz Odorico M. Andrade FIOCRUZ

DOI: https://doi.org/10.5753/sbcas.2020.11549

Abstract

The aging population, combined with a greater interest in health and well-being, has motivated the development of web and mobile applications to provide longevity with a better quality of life. However, since data modeling for elderly health systems is a complex task, in previous work, we created a taxonomy for 7 different types of elderly health systems to help developers to deal with this difficulty. This taxonomy is composed of 21 categories and 87 characteristics that organize the information handled by these systems. For example, there is the “Glucose Control” category with two characteristics, date and glycemia. However, the combination of types of applications, categories, and characteristics generates a large number of possibilities, making it difficult to use the taxonomy. So, the Dorsal tool, proposed in this paper, aims to create data models in Java or Javascript from this taxonomy to reduce the effort in the development of elderly health applications.

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