Using electronic health records to classify risk for adverse safety events with ICU patient Mobility: A Cross-Sectional study.

ABSTRACT:

Background

Integrating early mobility (EM) expert consensus recommendations into an algorithm that uses electronic health record (EHR) data provides an opportunity for ICU nurse decision support.

Objective

This study aimed to compare clinical differences in ICU EM algorithm domains among patients with and without documented EM and examine discordance between algorithm classification and documented EM.

Methods

Secondary analysis of EHR data from adults admitted to the ICU from one health system's electronic data warehouse. We extracted demographic, clinical, and EM data for up to the first three days after ICU admission and applied the algorithm to classify patients as low/high-risk by clinical domain (respiratory, cardiovascular, neurological, activity order, overall)

SUBMITTER: Krupp A 

PROVIDER: S-EPMC12483144 | biostudies-literature | 2025 Feb

REPOSITORIES: biostudies-literature