Aplicação Web Progressiva (PWA) para Apoio à Consulta de Medicamentos e Dosagens em Animais de Estimação Não Convencionais
Aplicação Web Progressiva (PWA) para Apoio à Consulta de Medicamentos e Dosagens em Animais de Estimação Não Convencionais
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DOI: https://doi.org/10.22533/at.ed.166112517038
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Palavras-chave: Desenvolvimento Multiplataforma, Aplicativos Móveis, Progressive Web Applications, Animais Domésticos Não Convencionais, Medicina Veterinária, Consulta de Medicamentos.
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Keywords: Cross-Platform Development, Mobile Applications, Progressive Web Applications, Unconventional Pets, Veterinary Medicine, Drug Reference.
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Abstract: With the growing demand for cross-platform technologies, web and mobile development has stood out for its flexibility and ability to connect users across various devices such as smartphones, tablets, and desktops. Research indicates that users spend about 80% of their time on smartphones using just five apps, predominantly native and focused on social media. Furthermore, around 60% of apps available in digital stores are never installed. In this context, the market has been directing investments toward Progressive Web Applications (PWAs), aiming to regain efficiency and positive results through the advantages this technology offers in the development and use of applications. At the same time, the market for unconventional pets has shown significant growth and demands solutions to optimize veterinary care for these increasingly common patients. However, there is a noticeable lack of applications that specifically meet this need. This work proposes the development of a PWA-based application to assist in the consultation of medications and dosages for unconventional domestic animals, offering a meaningful contribution to this field. The application was evaluated by 25 veterinarians and veterinary students using the System Usability Scale (SUS) questionnaire, achieving an average score of 92.5, which demonstrates the system’s feasibility and potential benefits for its intended purpose.
- Maurício Massaru Arimoto
- Daniel Grando