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Nursing Surveillance from Invisible to Measurable to Indispensable: The CONCERN Early Warning System Trial
Sarah C Rossetti1, Kenrick Cato2
1Associate Professor, Biomedical Informatics and Nursing, Columbia University, New York, NY.
Abstract:
Excessive documentation burdens undermine nurses' ability to effectively perform their most valuable and lifesaving skill - expert nursing surveillance. This article discusses the development and implementation of the CONCERN Early Warning System, an artificial intelligence algorithm that measures nursing surveillance by predicting deterioration of hospital patients, and then displaying that predictive score to the interdisciplinary care team.
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