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Abstract(s)
Em Portugal, a população está a envelhecer. Como tal, os serviços de prestação de cuidados de
saúde ao domicílio estão a tornar-se numa importante área de investigação.
Os cuidados domiciliários têm vindo a constituir uma resposta organizada às necessidades de
tratar, cuidar e apoiar as pessoas com dependência, inseridas no seu meio, procurando promover
nelas a melhor qualidade de vida possível. Este serviço de saúde pode ser prestado por equipas de
enfermeiros dos Centros de Saúde. Usualmente, as visitas são planeadas de forma manual e sem
apoio computacional.
Neste trabalho pretende-se realizar o planeamento automático das visitas domiciliárias, de uma
Unidade de Saúde de Bragança, com o objetivo de minimizar o tempo total despendido pelos enfermeiros
e, consequentemente, reduzir os custos envolvidos. Para tal foram desenvolvidas e testadas
várias modelações matemáticas e as mesmas foram aplicadas ao Algoritmo Genético, um método
de programação global.
A metodologia desenvolvida foi codificada em MatLab e permitiu resolver o problema de forma
eficiente, obtendo diversas soluções de planeamento das visitas domiciliárias para os diversos dados
apresentados. Em todos os horários das visitas domiciliárias a realizar pelos enfermeiros, apresentados
pelo algoritmo genético, verificou-se uma redução significativa no tempo despendido dos
enfermeiros, bem como, no tempo de espera dos pacientes.
In Portugal the population is ageing. So, the provision of the home health care services is becoming an important research area. Home visits have come organized to the need of treatment, care and support dependence people, inserted in their city, trying to promote them the best possible life quality. This health service can be provided by nurses teams of the Health Centers. Usually, the visits are manually planned and without computer support. The main of this work is to carry out the automatic planning of home visits, of one Bragança Health Unit, in order to minimize the nurses spent time and, consequently, reduce the costs involved. For this were developed and tested various mathematical modeling and the same applied to the Genetic Algorithm, a global programming method. The developed methodology was codified in MatLab and allowed to solve the problem efficiently, obtaining several planning solutions of home visits for the presented data. All solutions presented by genetic algorithm have a significant reduction in nurse time spent, as well as the patients waiting time.
In Portugal the population is ageing. So, the provision of the home health care services is becoming an important research area. Home visits have come organized to the need of treatment, care and support dependence people, inserted in their city, trying to promote them the best possible life quality. This health service can be provided by nurses teams of the Health Centers. Usually, the visits are manually planned and without computer support. The main of this work is to carry out the automatic planning of home visits, of one Bragança Health Unit, in order to minimize the nurses spent time and, consequently, reduce the costs involved. For this were developed and tested various mathematical modeling and the same applied to the Genetic Algorithm, a global programming method. The developed methodology was codified in MatLab and allowed to solve the problem efficiently, obtaining several planning solutions of home visits for the presented data. All solutions presented by genetic algorithm have a significant reduction in nurse time spent, as well as the patients waiting time.
Description
Keywords
Algoritmo genético Cuidados domiciliários Otimização