Desenvolvimento de um Protótipo de Coleta de Dados para diagnóstico em Ehealth (Ediagnostic) com IoT

The introduction of Remote Patient Monitoring, combined with the growth of Infor- mation and Communication Technologies (ICTs), has been making healthcare operations more agile, especially in hospital settings. It enables doctors to remotely access patients’ vital signs, such as body temperature,...

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Autor principal: Vieira, Francisco Luciani de Miranda
Outros Autores: Santos, João Paulo Queiroz dos
Formato: Dissertação
Idioma:pt_BR
Publicado em: Universidade Federal do Rio Grande do Norte
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Endereço do item:https://repositorio.ufrn.br/handle/123456789/57981
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Resumo:The introduction of Remote Patient Monitoring, combined with the growth of Infor- mation and Communication Technologies (ICTs), has been making healthcare operations more agile, especially in hospital settings. It enables doctors to remotely access patients’ vital signs, such as body temperature, blood oxygen levels, and heart rate, in real-time, via the internet. This study aims to develop a prototype for the collection of electronic he- alth (Ehealth) data using the Internet of Things (IoT). The prototype, named Ediagnostic, aims to monitor and record essential vital signs in patients at a federal university hospital. This is achieved through the integration of advanced sensors and communication devices that send the collected data to a cloud server. Healthcare professionals can access this data for diagnostic purposes and making informed clinical decisions. The methodology of this study includes a systematic review of the literature, based on scientific databases such as Medline, SCOPUS, and Web of Science. Furthermore, a prototype modeling was proposed to meet the established objectives. The results indicate that the constructed pro- totype has an accuracy of 95 % compared to data collected by equipment approved by the National Health Surveillance Agency, representing a significant advancement in the field of Ehealth and providing a reliable and efficient solution for advanced patient monitoring.