Study protocol for the design, implementation, and evaluation of the STRATIFY clinical decision support tool for emergency department disposition of patients with heart failure.

ABSTRACT:

Background

In the emergency department (ED), clinicians often make challenging, high-pressure decisions within a short time frame. Clinical decision support (CDS) tools integrated into the electronic health record can provide evidence-based support. Yet, numerous implementation barriers limit the broad use of such tools in ED settings. CDS tools could be particularly helpful for patients presenting to the ED with an acute exacerbation of heart failure (AHF), a common and costly medical condition for which patients are typically admitted to the hospital. We developed and implemented STRATIFY, a validated risk prediction model that effectively identifies AHF patients at low risk of 30-day adverse events who could potentially be discharged home from the ED.

Methods

This article

SUBMITTER: Kripalani S 

PROVIDER: S-EPMC12535060 | biostudies-literature | 2025 Oct

REPOSITORIES: biostudies-literature