Medicina intensiva
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The COVID-19 pandemic has threatened to collapse hospital and ICU services, and it has affected the care programs for non-COVID patients. The objective was to develop a mathematical model designed to optimize predictions related to the need for hospitalization and ICU admission by COVID-19 patients. ⋯ The mathematical model is capable of providing predictions on the evolution of the COVID-19 sufficiently in advance as to anticipate the peaks of prevalence and hospital and ICU care demands, and also the appearance of periods in which the care for non-COVID patients could be intensified.
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Based on some of the recommendations of the SEMICYUC working groups, we developed a checklist and applied it in 2 periods, analyzing their behavior as a tool for improving safety. ⋯ The checklist used to assess compliance with a selection of recommendations of the SEMICYUC applied and moderated by a prompter was seen to be a useful instrument allowing us to identify points for improvement in the management of Intensive Care Unit patients, increasing the quality and safety of care.