Effectiveness of an Artificial Intelligence-Enabled Intervention for Detecting Clinical Deterioration.

ABSTRACT:

Importance

Inpatient clinical deterioration is associated with substantial morbidity and mortality but may be easily missed by clinicians. Early warning scores have been developed to alert clinicians to patients at high risk of clinical deterioration, but there is limited evidence for their effectiveness.

Objective

To evaluate the effectiveness of an artificial intelligence deterioration model-enabled intervention to reduce the risk of escalations in care among hospitalized patients using a study design that facilitates stronger causal inference.

Design, setting, and participants

This cohort study used a regression discontinuity design that controlled for confounding and was based on Epic Deterioration Index (EDI; Epic Systems Corporation) prediction model scores. Com

SUBMITTER: Gallo RJ 

PROVIDER: S-EPMC10964159 | biostudies-literature | 2024 May

REPOSITORIES: biostudies-literature