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Machine Predicts Inpatient Sepsis 5 Hours Sooner


“One of the things that excites me about this research is that it represents an evolution in the way we’re using informatics in medicine,” said Ethan Cumbler, from the CU School of Medicine. “If we can start using this form of artificial intelligence to not just store information within the electronic health record, but to derive from electronic health records new ways of understanding the data, we’ve created an entirely new way for medical informatics to support clinicians.”