Predictive Adverse Event Detection and Proactive Clinical Intervention: Real-Time AI Architectures for Patient Safety Enhancement in Acute Care
Keywords:
predictive adverse event detection, proactive clinical intervention, real-time ai architectures, patient safety enhancement, machine learningAbstract
Although there has been a rapid increase in morbidity and mortality rates due to adverse events in healthcare settings, it has been difficult to properly monitor them because the number of sensors installed to cover various areas has increased, and monitoring has become more complicated. In this regard, there have been attempts to monitor healthcare settings using machine learning, which is a data-driven approach.Downloads
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