Early Warning Scores With and Without Artificial Intelligence.

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 was performed at 7 hospitals in the Yale New Haven Health System. All consecutive adult medical-surgical ward hospital encounters between March 9, 2019, and November 9, 2023, were included.

Exposures

Simultaneous Epic Deterioration Index (EDI), Rothman Index (RI), eCARTv5 (eCART), Modified Early Warning Score (MEWS), National Early Warning Score (NEWS), and NEWS2 scores.

M

SUBMITTER: Edelson DP 

PROVIDER: S-EPMC11544488 | biostudies-literature | 2024 Oct

REPOSITORIES: biostudies-literature