Author: Salles Neto, Luiz LeduÃno de; Martins, Camila Bertini; Chaves, Antônio Augusto; Konstantyner, Thais Cláudia Roma de Oliveira; Yanasse, Horacio Hideki; Campos, Claudia Barbosa Ladeira de; Bellini, Ana Júlia de Oliveira; Butkeraites, Renan Brito; Correia, Leonardo; Magro, Igor Luciano; Soares, Fernando Dos Santos
Title: Forecast UTI: application for predicting intensive care unit beds in the context of the COVID-19 pandemic. Cord-id: 4vm083ur Document date: 2020_1_1
ID: 4vm083ur
Snippet: In view of the need to manage and forecast the number of Intensive Care Unit (ICU) beds for critically ill COVID-19 patients, the Forecast UTI open access application was developed to enable hospital indicator monitoring based on past health data and the temporal dynamics of the Coronavirus epidemic. Forecast UTI also enables short-term forecasts of the number of beds occupied daily by COVID-19 patients and possible care scenarios to be established. This article presents the functions, mode of a
Document: In view of the need to manage and forecast the number of Intensive Care Unit (ICU) beds for critically ill COVID-19 patients, the Forecast UTI open access application was developed to enable hospital indicator monitoring based on past health data and the temporal dynamics of the Coronavirus epidemic. Forecast UTI also enables short-term forecasts of the number of beds occupied daily by COVID-19 patients and possible care scenarios to be established. This article presents the functions, mode of access and examples of uses of Forecast UTI, a computational tool intended to assist managers of public and private hospitals within the Brazilian National Health System by supporting quick, strategic and efficient decision-making.
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