Researchers from Yale School of Medicine and Johns Hopkins University have developed an AI program aimed at improving the triage process in emergency rooms. Their study involved 176,648 patients from three northeastern US ERs over three years, demonstrating that AI-assisted triage enhances operational efficiency, leading to reduced patient wait times and overall length of stay. The AI tool also increased nurses' focus on critical patient needs, positively impacting patient care outcomes by facilitating timely interventions and more effective resource management in emergency departments.
Triage is a critical first step in emergency care with profound implications for resource allocation and, ultimately, patient outcomes, including morbidity and mortality.
Nurses using the AI tool were able to move patients through the emergency room process more rapidly, resulting in decreased time in the ER overall.
AI could lead to decreased wait times and ED length of stay, improving triage performance and patient flow.
Nurses with the tool were more attentive to when patients needed critical interventions, such as hospitalization, surgery, or admission to the intensive care unit.
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