HealthSimulator: uma plataforma de simulação para o desenvolvimento de aplicações de saúde

• Ano de defesa: 2019
• Autor(a) principal: Rocha, Renato Nolasco da
• Tipo de documento: Dissertação
• Tipo de acesso: Acesso aberto
• Idioma: por
• Instituição de defesa: Universidade Federal do Espírito Santo; BR; Mestrado em Informática; Centro Tecnológico; UFES; Programa de Pós-Graduação em Informática
• Palavras-chave em Português: Internet das Coisas; Saúde; Simulador; Internet of Things; Health; Simulator; subject.br-rjbn; Ciência da Computação
• Link de acesso: http://repositorio.ufes.br/handle/10/13839

Remote patient monitoring (RPM) in the home environment has been a commonly used practice to monitor an individual’s health condition and treatment compliance proposed by the medical team. In addition to improving the quality of care offered, this approach has proven to be effective in reducing health care expenses, as it allows to automate tasks once performed by humans, as well as reducing episodes of hospitalization and unnecessary visits to hospitals and medical clinics. Reproducing real-world scenarios for testing health applications is a complex and challenging task, particularly in the RPM scenario, given the small number of open and standardized databases available for use. One technique employed to perform tests in this scenario is the simulation of the biological patient’s data. Several tools have been proposed to support this, but they have several gaps, mainly related to scalability and data sources used for simulation. This paper presents the HealthSimulator, a simulator for evaluation of Health applications focused on RPM applications. HealthSimulator seeks to simplify the simulation of biomedical patient data to provide support for evaluating infrastructure and services for Health applications. System validation tests focused on scalability, and real-world database use have proven the potential for HealthSimulator application to validate RPM applications. practice to monitor an individual’s health condition and treatment compliance proposed by the medical team. In addition to improving the quality of care offered, this approach has proven to be effective in reducing health care expenses, as it allows to automate tasks once performed by humans, as well as reducing episodes of hospitalization and unnecessary visits to hospitals and medical clinics. Reproducing real-world scenarios for testing health applications is a complex and challenging task, particularly in the RPM scenario, given the small number of open and standardized databases available for use. One technique employed to perform tests in this scenario is the simulation of the biological patient’s data. Several tools have been proposed to support this, but they have several gaps, mainly related to scalability and data sources used for simulation. This paper presents the HealthSimulator, a simulator for evaluation of Health applications focused on RPM applications. HealthSimulator seeks to simplify the simulation of biomedical patient data to provide support for evaluating infrastructure and services for Health applications. System validation tests focused on scalability, and real-world database use have proven the potential for HealthSimulator application to validate RPM applications.