J Emerg Med
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Remediation of medical trainees is a universal challenge, yet studies show that many residents will need remediation to improve performance. Current literature discusses the importance and processes of remediation and investigates how to recognize residents needing remediation. However, little is known about trainees' attitudes and perception of remediation. ⋯ Trainees have limited knowledge and understanding of remediation and strong negative perceptions and attitudes toward the remediation process. Trainees suggested that reframing of remediation using more positive terminology and including residents in creating individualized plans, may improve attitudes and perceptions of this process.
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The COVID-19 pandemic presents a significant challenge to the global health care system. Implementing timely, accurate, and cost-effective screening approaches is crucial in preventing infections and saving lives by guiding disease management. ⋯ This study developed and validated three machine learning prediction models for COVID-19 mortality based on accessible clinical features. The RF model showed the best performance among the three models. The nine variables identified in the models may warrant further investigation as potential prognostic indicators of severe COVID-19.