Proceedings of The 11th International Conference on Research in Engineering, Science & Technology
DirecionaSUS: Mobile Applications and Stochastic Timed Petri Nets for Referral of Patients and Dimensioning Hospital Beds for Health Services
Paulo Rodrigues de Souza, Diego Rodrigues Andrade Simão, Alice Ramalho Tavares, Anielle Rodrigues da Silva, Anna Zarife Feres Micheletti, Anne Lara Moreira Gomes, Danielle Ruas Santos, Eduarda Luiza Loschi de Araújo, Fernanda Vasconcelos Pacheco, Gabriela Raposo Tavares, Stéphannie Freitas Miranda e Souza, Luiz Melk de Carvalho, Diva de Souza e Silva Rodrigues, Flávio Henrique Batista de Souza
The dimensioning of health services is one of the greatest challenges in the city of Belo Horizonte, especially in times of crisis, such as COVID-19. This research demonstrates a solution that integrates mobile tools, cloud computing and stochastic timed Petri nets to optimize the availability of hospital beds. First, a mobile solution was developed, named DirecionaSUS®, capable of directing the patient to the nearest care unit, with the appropriate medical specialty. The guidance is performed after the patient inserts the symptoms that he is having in the application. The application is connected to a second solution: a data analytics developed in cloud computing, capable of demonstrating information about the main demands, with averages, heat maps of the concentrations of requests and other functionalities. The two tools serve as a reference for a last one: a simulator in stochastic timed Petri nets, capable of simulating hospitals bed demands, considering the times of assistance and the definitions of the Manchester protocol. Experiments with data and real hospitals were carried out and the ability of intelligent bed allocation management in hospitals was demonstrated.
Keywords: Stochastic Timed Petri Nets; Health Services Dimensioning; Cloud Computing; Mobile Applications; Hospital Beds Demands.