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Machine Learning Improves Emergency Dispatch Prioritization During Ambulance Shortages
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A Swedish emergency dispatch trial demonstrates that machine learning-assisted risk assessment can help nurses more accurately identify and prioritize high-risk patients when ambulance demand exceeds availability.
Original paper: Machine learning assisted differentiation of low acuity patients at dispatch: The MADLAD randomized controlled trial. — PLoS medicine. 10.1371/journal.pmed.1004770
