Inside STAT: Hospitals look to computers to predict patient emergencies before they happen
Hospital command centers have proliferated in recent years, and have allowed hospitals to better track warning signs. Take the example of John S., a patient at the Cleveland Clinic in Ohio. As his heartbeat quickened and signs pointed to cardiac arrest, it was not his nursing team at the hospital that caught the impending crisis to get him the help he needed. Instead, a technician at the hospital’s Central Monitoring Unit several miles away was tracking his vital signs and was able to trigger an emergency response in time to help the patient. But with recent advances in artificial intelligence, hospitals are looking to get even better at predicting when crises can be caught in advance and avoided. STAT’s Casey Ross has more here.
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