Identification of Patients Expected to Benefit from Electronic Alerts for Acute Kidney Injury.

ABSTRACT:

Background and objectives

Electronic alerts for heterogenous conditions such as AKI may not provide benefit for all eligible patients and can lead to alert fatigue, suggesting that personalized alert targeting may be useful. Uplift-based alert targeting may be superior to purely prognostic-targeting of interventions because uplift models assess marginal treatment effect rather than likelihood of outcome.

Design, setting, participants, & measurements

This is a secondary analysis of a clinical trial of 2278 adult patients with AKI randomized to an automated, electronic alert system versus usual care. We used three uplift algorithms and one purely prognostic algorithm, trained in 70% of the data, and evaluated the effect of targeting alerts to patients with higher scores in the

SUBMITTER: Biswas A 

PROVIDER: S-EPMC5989673 | biostudies-literature | 2018 Jun

REPOSITORIES: biostudies-literature