A study conducted at The Mount Sinai Hospital showed that using AI-generated alerts based on machine learning algorithms to signal adverse changes in patient health can improve clinical care outcomes. The study found that patients who received real-time alerts were more likely to have their care escalated, leading to improved interventions and lower mortality rates. These alerts were found to outperform traditional methods of predicting clinical deterioration and allowed for earlier intervention, ultimately saving more lives. The use of AI in clinical decision-making was shown to be effective in improving patient outcomes and is seen as a step towards becoming a learning health system.
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AI can help doctors make better decisions and save lives
