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AI Tool Cuts Unexpected Deaths In Hospital By 26%, Canadian Study Finds
An anonymous reader quotes a report from CBC News: Inside a bustling unit at St. Michael's Hospital in downtown Toronto, one of Shirley Bell's patients was suffering from a cat bite and a fever, but otherwise appeared fine -- until an alert from an AI-based early warning system showed he was sicker ...
An anonymous reader quotes a report from CBC News: Inside a bustling unit at St. Michael's Hospital in downtown Toronto, one of Shirley Bell's patients was suffering from a cat bite and a fever, but otherwise appeared fine -- until an alert from an AI-based early warning system showed he was sicker than he seemed. A year-and-a-half-long study on Chartwatch, published Monday in the Canadian Medical Association Journal, found that use of the AI system led to a striking 26 percent drop in the number of unexpected deaths among hospitalized patients. Working in the background alongside clinical teams, the tool monitors any changes in someone's medical record "and makes a dynamic prediction every hour about whether that patient is likely to deteriorate in the future," Verma told CBC News.
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