Forecast UTI: application for predicting Intensive Care Units beds in the context of the covid-19 pandemic

• Autor(a) principal: Neto, Luiz Leduíno de Salles
• Data de Publicação: 2020
• Outros Autores: Martins, Camila Bertini, Chaves, Antônio Augusto, Konstantyner, Thais Cláudia Roma de Oliveira, Yanasse, Horácio Hideki, Campos, Claudia Barbosa Ladeira de, Bellini, Ana Júlia de Oliveira, Butkeraites, Renan Brito, Correia, Leonardo, Magro, Igor Luciano, Soares, Fernando dos Santos
• Tipo de documento: preprint
• Idioma: por
• Título da fonte: SciELO Preprints
• Texto Completo: https://preprints.scielo.org/index.php/scielo/preprint/view/1034
• topic: Infecções por Coronavírus; Vigilância em Saúde Pública; Previsões; Sistema Único de Saúde; Unidades de Terapia Intensiva; Coronavirus Infections; Public Health Surveillance; Forecasting; Unified Health System; Intensive Care Units

In view of the need to manage and forecast the number of beds in the Intensive Care Units for critically ill patients in Covid-19, the Forecast UTI was developed: an open access application that allows the monitoring of hospital indicators based on historical data from the service health and the temporal dynamics of the epidemic. It is also possible to make short-term forecasts of the number of beds occupied daily by the disease and to establish possible care scenarios. This article presents the functions, mode of access and examples of use of Forecast UTI, a computational tool capable of assisting managers of public and private hospitals in the Unified Health System, since they support decision-making quickly, strategically and efficiently.