Machine learning-assisted screening for cognitive impairment in the emergency department.

ABSTRACT:

Background/objectives

Despite a high prevalence and association with poor outcomes, screening to identify cognitive impairment (CI) in the emergency department (ED) is uncommon. Identification of high-risk subsets of older adults is a critical challenge to expanding screening programs. We developed and evaluated an automated screening tool to identify a subset of patients at high risk for CI.

Methods

In this secondary analysis of existing data collected for a randomized control trial, we developed machine-learning models to identify patients at higher risk of CI using only variables available in electronic health record (EHR). We used records from 1736 community-dwelling adults age > 59 being discharged from three EDs. Potential CI was determined based on the Blessed Orienta

SUBMITTER: Yadgir SR 

PROVIDER: S-EPMC8904269 | biostudies-literature | 2022 Mar

REPOSITORIES: biostudies-literature