Using electronic health record collected clinical variables to predict medical intensive care unit mortality.

ABSTRACT:

Background

Clinical decision support systems are used to help predict patient stability and mortality in the Intensive Care Unit (ICU). Accurate patient information can assist clinicians with patient management and in allocating finite resources. However, systems currently in common use have limited predictive value in the clinical setting. The increasing availability of Electronic Health Records (EHR) provides an opportunity to use medical information for more accurate patient stability and mortality prediction in the ICU.

Objective

Develop and evaluate an algorithm which more accurately predicts patient mortality in the ICU, using the correlations between widely available clinical variables from the EHR.

Methods

We have developed an algorithm, AutoTriage, whi

SUBMITTER: Calvert J 

PROVIDER: S-EPMC5037117 | biostudies-literature | 2016 Nov

REPOSITORIES: biostudies-literature