Sistema para localização e gerenciamento de equipamentos do Hospital Alemão Oswaldo Cruz
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Orientador
Bottene, Alex Camilli
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Citações na Scopus
Tipo de documento
Data
2023
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O Hospital Alemão Oswaldo Cruz é uma instituição filantrópica de 125 anos e muito
renomada no país. Sua unidade principal possui aproximadamente 96.000 m2 e isto dificulta o
transporte e o gerenciamento de diversos ativos hospitalares. São necessárias tecnologias
auxiliares que ajudem os profissionais que trabalham nela a otimizarem suas tarefas e os
atendimentos aos pacientes. Em Agosto de 2022 o time de Engenharia Clínica do hospital
identificou internamente a dificuldade no gerenciamento da disponibilidade das cadeiras de
rodas. Em conjunto com o Insper e a TAMU, iniciou-se um projeto de IoT (Internet of Things
- em português: Internet das Coisas) que visava rastrear as cadeiras de rodas, monitorando sua
localização em conjunto com a sua disponibilidade, e viabilizar estas informações para o time
do hospital. De início, foi utilizada a metodologia de design thinking do diamante triplo e
outras metodologias ágeis para organizar as tarefas do projeto. Para coletar as informações,
foram utilizados: um módulo ESP32, que se comunicava via Wi-Fi para o broker MQTT que
estava hospedado no servidor em nuvem da AWS, e um case, que seria acoplado à cadeira de
rodas e que guardava a placa, as baterias e o switch, utilizado na indicação de disponibilidade
para o sistema. Para apresentar o resultado, foi desenvolvido um dashboard utilizando a
plataforma Node-RED, o qual seria atualizado em tempo real. Esta primeira versão do
protótipo foi testada e validada, contudo, a fim de entender se o desenvolvimento em larga
escala desta tecnologia fazia sentido, os tomadores de decisão do hospital trouxeram o
seguinte questionamento: o problema que estamos solucionando realmente é um problema
relevante? Em Fevereiro de 2023, o segundo time do Insper, que daria continuidade ao projeto
em conjunto com o time da TAMU, partiu desta dúvida para reanalisar os diversos problemas
que poderiam ser resolvidos com a solução proposta na etapa anterior e definir, em conjunto
com os responsáveis do hospital, qual ativo hospitalar tem o problema com mais potencial
para ser resolvido e se a solução já existente de rastreamento será a ideal para solucioná-lo, ou
se deve ser adaptada. O equipamento a ser rastreado nesse projeto é o SEQUEL (compressor
pneumático intermitente), por conta de sua alta circulação e centralização no centro cirúrgico,
local este que apresenta a maior concentração de receita do hospital. A escolha do SEQUEL
foi feita com extensa pesquisa junto ao hospital, equipe de assistência e equipe de inovação. A
conclusão deste projeto viu a adaptação bem-sucedida de ambos os componentes de hardware
e software para acomodar o novo equipamento, o SEQUEL. Isso foi alcançado por meio de
uma série de entrevistas e discussões destinadas a maximizar o potencial impacto financeiro e
operacional do sistema de rastreamento. O feedback coletado da equipe de assistência e da
unidade de inovação do HAOC provou ser inestimável neste processo, orientando os ajustes
necessários no hardware ESP32, no broker MQTT e no painel Node-RED. Os resultados
desses ajustes foram promissores. O sistema de rastreamento demonstrou sua funcionalidade e
confiabilidade em um ambiente hospitalar real, rastreando ativamente a localização do
equipamento SEQUEL. Esta operação bem-sucedida é um testemunho do potencial do
sistema para melhorar a eficiência das operações hospitalares e aprimorar a gestão de
equipamentos críticos.
The Hospital Alemão Oswaldo Cruz is a philanthropic institution with a 125-year history and a strong reputation in the country. Its main unit spans approximately 96,000 𝑚 2 which complicates the transportation and management of various hospital assets. Auxiliary technologies are needed to assist the professionals working there in optimizing their tasks and patient care. In August 2022, the hospital's Clinical Engineering team internally identified a difficulty in managing the availability of wheelchairs. In conjunction with Insper and TAMU, an IoT (Internet of Things) project was initiated to track wheelchairs, monitoring their location in conjunction with their availability, and making this information available to the hospital team. Initially, the triple diamond design thinking methodology and other agile methodologies were used to organize the project tasks. To collect the information, the following were used: an ESP32 module, which communicated via Wi-Fi to the MQTT broker hosted on the AWS cloud server, and a case, which would be attached to the wheelchair and which housed the board, batteries, and switch, used to indicate availability to the system. To present the result, a dashboard was developed using the Node-RED platform, which would be updated in real time. This first version of the prototype was tested and validated, however, in order to understand whether large-scale development of this technology made sense, the hospital's decision-makers brought up the following question: is the problem we are solving really a relevant problem? In February 2023, the second Insper team, which would continue the project in conjunction with the TAMU team, started from this doubt to reanalyze the various problems that could be solved with the solution proposed in the previous stage and to define, in conjunction with the hospital's responsible parties, which hospital asset has the problem with the most potential to be solved and whether the existing tracking solution is ideal to solve it, or whether it should be adapted. The equipment to be tracked in this project is the SEQUEL (intermittent pneumatic compressor), due to its high circulation and centralization in the surgical center, a location that has the highest concentration of hospital revenue. The choice of SEQUEL was made with extensive research with the hospital, assistance staff, and innovation team. The conclusion of this project saw the successful adaptation of both hardware and software components to accommodate the new equipment, the SEQUEL. This was achieved through a series of interviews and discussions aimed at maximizing the potential financial and operational impact of the tracking system. The feedback collected from the assistance team and the HAOC innovation unit proved invaluable in this process, guiding the necessary adjustments to the ESP32 hardware, the MQTT broker, and the Node-RED dashboard. The results of these adjustments were promising. The tracking system demonstrated its functionality and reliability in a real hospital environment, actively tracking the location of the SEQUEL equipment. This successful operation is a testament to the system's potential to improve the efficiency of hospital operations and enhance the management of critical equipment.
The Hospital Alemão Oswaldo Cruz is a philanthropic institution with a 125-year history and a strong reputation in the country. Its main unit spans approximately 96,000 𝑚 2 which complicates the transportation and management of various hospital assets. Auxiliary technologies are needed to assist the professionals working there in optimizing their tasks and patient care. In August 2022, the hospital's Clinical Engineering team internally identified a difficulty in managing the availability of wheelchairs. In conjunction with Insper and TAMU, an IoT (Internet of Things) project was initiated to track wheelchairs, monitoring their location in conjunction with their availability, and making this information available to the hospital team. Initially, the triple diamond design thinking methodology and other agile methodologies were used to organize the project tasks. To collect the information, the following were used: an ESP32 module, which communicated via Wi-Fi to the MQTT broker hosted on the AWS cloud server, and a case, which would be attached to the wheelchair and which housed the board, batteries, and switch, used to indicate availability to the system. To present the result, a dashboard was developed using the Node-RED platform, which would be updated in real time. This first version of the prototype was tested and validated, however, in order to understand whether large-scale development of this technology made sense, the hospital's decision-makers brought up the following question: is the problem we are solving really a relevant problem? In February 2023, the second Insper team, which would continue the project in conjunction with the TAMU team, started from this doubt to reanalyze the various problems that could be solved with the solution proposed in the previous stage and to define, in conjunction with the hospital's responsible parties, which hospital asset has the problem with the most potential to be solved and whether the existing tracking solution is ideal to solve it, or whether it should be adapted. The equipment to be tracked in this project is the SEQUEL (intermittent pneumatic compressor), due to its high circulation and centralization in the surgical center, a location that has the highest concentration of hospital revenue. The choice of SEQUEL was made with extensive research with the hospital, assistance staff, and innovation team. The conclusion of this project saw the successful adaptation of both hardware and software components to accommodate the new equipment, the SEQUEL. This was achieved through a series of interviews and discussions aimed at maximizing the potential financial and operational impact of the tracking system. The feedback collected from the assistance team and the HAOC innovation unit proved invaluable in this process, guiding the necessary adjustments to the ESP32 hardware, the MQTT broker, and the Node-RED dashboard. The results of these adjustments were promising. The tracking system demonstrated its functionality and reliability in a real hospital environment, actively tracking the location of the SEQUEL equipment. This successful operation is a testament to the system's potential to improve the efficiency of hospital operations and enhance the management of critical equipment.
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Projeto realizado para a empresa Hospital Alemão Oswaldo Cruz - Mentora na empresa: Elisa Habiro
Membros da banca
Bottene, Alex Camilli
Durão, Luiz Fernando Cardoso dos Santos
Ferrão, Rafael Corsi
Avelino, Rodolfo da Silva
Área do Conhecimento CNPQ
CIENCIAS SOCIAIS APLICADAS