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Abstract(s)
O presente trabalho consiste na utilização de um instrumento de monitorização de parâmetros fisiológicos instalado na unidade móvel da Mutualista Covilhanense que faz visitas no domicílio dos utentes. Tem por objetivo melhorar o acompanhamento destes e idealmente
melhorar a qualidade dos dados recolhidos. Estes dados são processados imediatamente pelo
sistema informático que emite um alerta para o médico acerca dos indivíduos potencialmente
em risco acrescido e que necessitam de um acompanhamento mais próximo. Por outro lado,
facilita o estabelecimento mais rápido de um diagnóstico por parte do médico, resultando no
encaminhamento para uma consulta da especialidade, por exemplo.
O instrumento usado será uma aplicação que controla um equipamento. Este
equipamento regista os valores medidos nos utentes na visita ao domicílio, tais como:
- Pressão arterial e Frequência Cardíaca (que são muito importantes para despiste de
doenças do coração);
- Glicose (dada a elevada incidência da diabetes e das suas complicações);
- SpO2 (medição com oxímetro no dedo para avaliar a oxigenação do sangue, importante
para saber como se encontra o aporte de oxigénio);
- Temperatura (algumas doenças podem fazer alterar a temperatura, sendo importante
por exemplo para despistar infeções ativas);
- Peso (devido ao aumento da obesidade e de ser preocupante também pelas doenças
associadas).
Estes dados serão processados e analisados com base num algoritmo que selecionará os
casos que no entender dos investigadores representem risco acrescido e necessitem atenção
imediata evitando por outro lado sobrecarregar o médico com alertas desnecessários.
The present work consists in the use of a physiological parameters monitoring device installed in the mobile unit of Mutualista Covilhanense that makes visits to the home of users. It aims to improve the follow-up of these and ideally should improve the quality of the data being collected. This data is processed immediately by the computer system that issues an alert to the doctor about the individuals potentially at increased risk and in need of a closer monitoring. On the other hand it facilitates the quicker establishment of a diagnosis by the physician, resulting in referral to a specialist consultation, for example. The device used will be an application that controls the equipment. This equipment records the measured values when visiting the patient’s home, such as: - Blood pressure and heart rate (which are very important for screening for heart disease); - Glucose (given the high frequency of onset of diabetes and its complications); - SpO2 (measurement with oximeter in the finger to evaluate the oxygenation of the blood, it is important to know how the oxygen supply is); - Temperature (some diseases can cause the temperature to change, being important for example to miss active infections); - Weight (due to the increase in obesity and the worrying of associated diseases). These data will be processed and analyzed based on an algorithm that will select the cases that in the opinion of the researchers represent an increased risk and need immediate attention while avoiding overloading the doctor with unnecessary alerts.
The present work consists in the use of a physiological parameters monitoring device installed in the mobile unit of Mutualista Covilhanense that makes visits to the home of users. It aims to improve the follow-up of these and ideally should improve the quality of the data being collected. This data is processed immediately by the computer system that issues an alert to the doctor about the individuals potentially at increased risk and in need of a closer monitoring. On the other hand it facilitates the quicker establishment of a diagnosis by the physician, resulting in referral to a specialist consultation, for example. The device used will be an application that controls the equipment. This equipment records the measured values when visiting the patient’s home, such as: - Blood pressure and heart rate (which are very important for screening for heart disease); - Glucose (given the high frequency of onset of diabetes and its complications); - SpO2 (measurement with oximeter in the finger to evaluate the oxygenation of the blood, it is important to know how the oxygen supply is); - Temperature (some diseases can cause the temperature to change, being important for example to miss active infections); - Weight (due to the increase in obesity and the worrying of associated diseases). These data will be processed and analyzed based on an algorithm that will select the cases that in the opinion of the researchers represent an increased risk and need immediate attention while avoiding overloading the doctor with unnecessary alerts.
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Keywords
Cuidado de Proximidade Despiste Precoce Intervenção Na Comunidade Prevenção Telemonitorização