Hospitals look to computers to predict patient emergencies before they happen.

Ross C. STAT. May 13, 2019.

Nuisance alarms, interruptions, and insufficient staff availability can hinder effective monitoring and response to acute patient deterioration. This news article reports on how hospital logistics centers are working toward utilizing artificial intelligence to improve clinician response to alarms by proactively identifying hospitalized patients at the highest risk for heart failure to trigger emergency response teams when their condition rapidly declines.

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