Protótipo de equipamento IoT para monitoramento de leitos para gestão hospitalar
Data
2022-07-28
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Trabalho de conclusão de curso
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Com o evento global da recente pandemia viral com fácil propagação pelo ar, os sistemas de saúde foram diretamente impactados pela alta demanda de internações atreladas à infecção decorrente. Todo esse processo sobrecarregou os profissionais da área da saúde, principalmente os responsáveis pelo monitoramento de leitos de unidades de tratamento intensivo. O presente trabalho propõe um protótipo associado com a tecnologia da Internet das Coisas (do inglês, Internet of Things – IoT) voltado para o monitoramento remoto de pacientes em leitos hospitalares, com a perspectiva de facilitar o gerenciamento hospitalar e para alertar a equipe médica de alguma urgência. Dessa forma, foram analisados diferentes hardwares e softwares, sendo considerado o custo-benefício dos módulos para proposta final. O módulo ESP32 mostrou-se um microcontrolador versátil, realizando a aquisição de sinais através de sensores de pulsação e temperatura, além de ter possibilitado a transferência de seus dados na plataforma online Ubidots. A plataforma utilizada apresentou capacidade de customização e acessibilidade por aplicativo em smartphone e computador pessoal. O protótipo mostrou-se promissor sobre as possibilidades de desenvolvimento para aplicação clínica e conta com dados síncronos na nuvem que poderiam ser utilizados para melhor gerenciamento de leitos em hospitais. Acreditamos também que isso permitiria a otimização do tempo para acompanhamento de pacientes, além de poder servir como base para o desenvolvimento de novas pesquisas e investigações relacionadas aos sistemas de saúde personalizada e telemedicina.
With the global event of the recent viral pandemic, easily propagated through the air, health systems were directly impacted by the high demand for hospitalizations linked to the resulting infection. This entire process overloaded health professionals, especially those responsible for monitoring beds in intensive care units. The present work proposes a prototype associated with the Internet of Things (IoT) technology aimed at the remote monitoring of patients in hospital beds, with the perspective of facilitating hospital management and to possibly alert the medical team of some urgency when judged necessary. In order to do that, different hardware and software were analyzed, considering the cost-benefit of the modules for the final proposal. The ESP32 module proved to be a versatile microcontroller, performing the acquisition of signals through pulse and temperature sensors, in addition to having made it possible to transfer its data on the Ubidots online platform. The platform used showed the ability to be customized and accessible by application on smartphones and personal computers. The prototype showed promise regarding the possibilities of development for clinical application and has synchronous data in the cloud that could be used for better management of hospital beds. We also believe that this would allow for the optimization of time for patient follow-up, in addition to being able to serve as a basis for the development of new research and investigations regarding personalized healthcare systems and telemedicine.
With the global event of the recent viral pandemic, easily propagated through the air, health systems were directly impacted by the high demand for hospitalizations linked to the resulting infection. This entire process overloaded health professionals, especially those responsible for monitoring beds in intensive care units. The present work proposes a prototype associated with the Internet of Things (IoT) technology aimed at the remote monitoring of patients in hospital beds, with the perspective of facilitating hospital management and to possibly alert the medical team of some urgency when judged necessary. In order to do that, different hardware and software were analyzed, considering the cost-benefit of the modules for the final proposal. The ESP32 module proved to be a versatile microcontroller, performing the acquisition of signals through pulse and temperature sensors, in addition to having made it possible to transfer its data on the Ubidots online platform. The platform used showed the ability to be customized and accessible by application on smartphones and personal computers. The prototype showed promise regarding the possibilities of development for clinical application and has synchronous data in the cloud that could be used for better management of hospital beds. We also believe that this would allow for the optimization of time for patient follow-up, in addition to being able to serve as a basis for the development of new research and investigations regarding personalized healthcare systems and telemedicine.