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T hroughout the COVID-19 pandemic, health care systems around the world have been confronted with, and at times overwhelmed by, high numbers of critically ill patients. 1,2 For every critically ill patient in the emergency department, several less severely ill patients present for care; in some cases, their condition deteriorates later, which places additional pressure on resources. Accurate, disease-specific mortality prediction is needed to inform shared decision-making with patients and their families around the patients' goals of care. Disease-specific mortality prediction can also allow health care systems to allocate resources in the most transparent, objective and fair manner possible to save as many lives as possible and facilitate timely access to palliative care, if needed. [3][4][5]