Navegando por Autor "Pereira, Gustavo Magalhães"

Filtrar resultados informando o último nome do autor
Agora exibindo 1 - 1 de 1
  • Imagem de Miniatura
    Item
    Suporte à decisão multicritério em aplicativos de saúde sob demanda
    (2019) Pereira, Gustavo Magalhães; Albuquerque Júnior, Gabriel Alves de; Falcão, Taciana Pontual da Rocha; http://lattes.cnpq.br/5706959249737319; http://lattes.cnpq.br/1399502815770584; http://lattes.cnpq.br/6456769669695121
    Health on demand applications have the main purpose of finding a doctor and take him to your home to provide home care for those who have limited mobility and seek a more convenient medical service, who do not want to face waiting lines and who wish to avoid to go to a hospital to treat basic illnesses. The technological advance has transformed the way traditional services are offered on demand, which is increasingly popular in Brazil. The Federal Council of Medicine (CRM), knowing the impact of technological advances in the practice of medicine, published a resolution No. 2178/2017, which seeks to regulate the operation of applications that offer medical consultation at home. According to the resolution, all applications that offer this service are required to provide a list of physicians available to the patient to choose the best doctor to take care of their case, but the applications do not offer patient assistance in the decision and is in need of a computational solution. In this work was carried out the planning and development of a recommendation system using the methodology to support multi-criteria decision analysis. It was used as a case study the application Clinio, a product of health on demand developed by Epitrack. The solution applied to recommend the best physicians has the purpose of helping the users of the application in choosing the professional that best fits their needs and preferences. To do so, it was used recommendation algorithms to select doctors based on symptoms and geolocation and the Analytical Hierarchical Process (AHP), based on criteria to classify them such as the value of the consultation, the distance between the doctor and the patient, and the age of the physician. The system was implemented using a database of 143 doctors from Pernambuco who work in 10 clinical cases. Through the tests performed it was observed in the recommendation obtained by the users that the system assists in the process of choosing the best professional for a case through the preferences definitions.