A Trend-Based Early Warning Score Can Be Implemented in a Hospital Electronic Medical Record to Effectively Predict Inpatient Deterioration.

ABSTRACT:

Objectives

To determine whether a statistically derived, trend-based, deterioration index is superior to other early warning scores at predicting adverse events and whether it can be integrated into an electronic medical record to enable real-time alerts.

Design

Forty-three variables and their trends from cases and controls were used to develop a logistic model and deterioration index to predict patient deterioration greater than or equal to 1 hour prior to an adverse event.

Setting

Two large Australian teaching hospitals.

Patients

Cases were considered as patients who suffered adverse events (unexpected death, unplanned ICU transfer, urgent surgery, and rapid-response alert) between August 1, 2016, and April 1, 2019.

Interventions

The logistic model and

SUBMITTER: Bell D 

PROVIDER: S-EPMC8439669 | biostudies-literature | 2021 Oct

REPOSITORIES: biostudies-literature