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Crit Care Clin ; 34(2): 199-207, 2018 Apr.
Article in English | MEDLINE | ID: mdl-29482900

ABSTRACT

Electronic medical records can be used to mine clinical data (big data), providing automated analysis during patient care. This article describes the source and potential impact of big data analysis on risk stratification and early detection of deterioration. It compares use of big data analysis with existing methods of identifying at-risk patients who require rapid response. Aggregate weighted scoring systems combined with big data analysis offer an opportunity to detect clinical changes that precede rapid response team activation. Future studies must determine if this will decrease transfers to intensive care units and cardiac arrests on the floors.


Subject(s)
Electronic Health Records , Environmental Monitoring/methods , Heart Arrest/diagnosis , Hospital Rapid Response Team/organization & administration , Risk Assessment/methods , Statistics as Topic/methods , Vital Signs/physiology , Humans
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