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Quality Problem or Issue: Up to 13 July 2020, >12 million laboratory-confirmed cases of coronavirus disease of 2019 (COVID-19) infection have been reported worldwide, 1 864 681 in Brazil. We aimed to assess an intervention to deal with the impact of the COVID-19 pandemic on the operations of a rapid response team (RRT)., Initial Assessment: An observational study with medical record review was carried out at a large tertiary care hospital in Fortaleza, a 400-bed quaternary hospital, 96 of which are intensive care unit beds. All adult patients admitted to hospital wards, treated by the RRTs during the study period, were included, and a total of 15 461 RRT calls were analyzed., Choice of Solution: Adequacy of workforce sizing., Implementation: The hospital adjusted the size of its RRTs during the period, going from two to four simultaneous on-duty medical professionals., Evaluation: After the beginning of the pandemic, the number of treated cases in general went from an average of 30.6 daily calls to 79.2, whereas the extremely critical cases went from 3.5 to 22 on average. In percentages, the extremely critical care cases went from 10.47 to 20%, with P < 0.001. Patient mortality remained unchanged. The number of critically ill cases and the number of treated patients increased 2-fold in relation to the prepandemic period, but the effectiveness of the RRT in relation to mortality was not affected., Lessons Learned: The observation of these data is important for hospital managers to adjust the size of their RRTs according to the new scenario, aiming to maintain the intervention effectiveness., (© The Author(s) 2020. Published by Oxford University Press on behalf of International Society for Quality in Health Care. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.)

Objective: To measure the effectiveness of the bed management process that uses a web-based application with Kanban methodology to reduce hospitalization time of hospitalized patients., Design: Before-after study was performed., Setting: The study was conducted between July 2013 and July 2017, at the Unimed Regional Hospital of Fortaleza, which has 300 beds, of which 60 are in the intensive care unit (ICU). It is accredited by International Society for Quality in Healthcare., Population: Patients hospitalized in the referred period., Intervention: Bed management with an application that uses color logic to signal at which stage of high flow the patients meet, in which each patient is interpreted as a card of the classical Kanban theory. It has an automatic user signaling system for process movement, and a system for monitoring and analyzing discharge forecasts., Main Outcome Measures: Length of hospital stay, number of customer complaints related to bed availability., Results: After the intervention, the hospital's overall hospital stay time was reduced from 5.6 days to 4.9 days (P = 0.001). The units with the greatest reduction were the ICUs, with reduction from 6.0 days to 2.0 (P = 0.001). The relative percentage of complaints regarding bed availability in the hospital fell from 27% to 0%., Conclusion: We conclude that the use of an electronic tool based on Kanban methodology and accessed via the web by a bed management team is effective in reducing patients' hospital stay time.