预测尿路感染：在新冠疫情背景下预测重症监护病房床位的应用。
Forecast UTI: application for predicting intensive care unit beds in the context of the COVID-19 pandemic.
作者信息
Salles Neto Luiz Leduíno 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
机构信息
Universidade Federal de São Paulo, Instituto de Ciência e Tecnologia, São José dos Campos, SP, Brasil.
Universidade Federal de São Paulo, Escola Paulista de Medicina, São Paulo, SP, Brasil.
出版信息
Epidemiol Serv Saude. 2020 Sep 25;29(4):e2020391. doi: 10.1590/S1679-49742020000400023. eCollection 2020.
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.
鉴于需要管理和预测用于治疗新冠肺炎重症患者的重症监护病房（ICU）床位数量，开发了“预测UTI”开放获取应用程序，以便根据过去的健康数据和新冠病毒疫情的时间动态进行医院指标监测。“预测UTI”还能够对新冠肺炎患者每日占用的床位数进行短期预测，并确定可能的护理方案。本文介绍了“预测UTI”的功能、访问方式和使用示例，这是一种计算工具，旨在通过支持快速、战略和高效的决策，协助巴西国家卫生系统内的公立和私立医院管理人员。
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