Early Warning Scores With and Without Artificial Intelligence.

Dana P Edelson^1,2, Matthew M Churpek³, Kyle A Carey¹, Zhenqui Lin⁴, Chenxi Huang⁴, Jonathan M Siner⁵, Jennifer Johnson⁶, Harlan M Krumholz⁴, Deborah J Rhodes⁷

¹Section of Hospital Medicine, University of Chicago, Chicago, Illinois.

²AgileMD, San Francisco, California.

³Section of Pulmonary and Critical Care Medicine, University of Wisconsin School of Medicine and Public Health, Madison.

⁴Section of Cardiovascular Medicine, Yale School of Medicine, Yale University, New Haven, Connecticut.

⁵Section of Pulmonary, Critical Care and Sleep Medicine, Yale School of Medicine, New Haven, Connecticut.

⁶Care Signature, Yale New Haven Health, New Haven, Connecticut.

⁷Section of General Internal Medicine, Yale School of Medicine, New Haven, Connecticut.

PubMed PMC DOI PDF

Abstract

IMPORTANCE: Early warning decision support tools to identify clinical deterioration in the hospital are widely used, but there is little information on their comparative performance. OBJECTIVE: To compare 3 proprietary artificial intelligence (AI) early warning scores and 3 publicly available simple aggregated weighted scores. DESIGN, SETTING, AND PARTICIPANTS: This retrospective cohort study wa…

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