Real-Time AI Alerts Reduce Patient Deaths by 43%, Mount Sinai Study Finds
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Contributed by: Sarah Richardson
Summary
A study from Mount Sinai Hospital indicates that artificial intelligence (AI) can significantly enhance patient outcomes by predicting and preventing health decline. Published in *Critical Care Medicine*, the research involved over 2,700 adult patients split into two groups, with one group receiving real-time AI alerts about potential health deterioration. The intervention group saw a 43% higher likelihood of receiving escalated care and markedly reduced mortality rates. The study suggests that AI algorithms outperform traditional methods like the MEWS by enabling earlier interventions and potentially saving lives. Despite the study's early termination due to the COVID-19 pandemic, a simplified AI system is being used to monitor stepdown unit patients at Mount Sinai, continually improving through reinforcement learning.
