Development and Validation of a Machine Learning Algorithm Using Clinical Pages to Predict Imminent Clinical Deterioration.

ABSTRACT:

Background

Early detection of clinical deterioration among hospitalized patients is a clinical priority for patient safety and quality of care. Current automated approaches for identifying these patients perform poorly at identifying imminent events.

Objective

Develop a machine learning algorithm using pager messages sent between clinical team members to predict imminent clinical deterioration.

Design

We conducted a large observational study using long short-term memory machine learning models on the content and frequency of clinical pages.

Participants

We included all hospitalizations between January 1, 2018 and December 31, 2020 at Vanderbilt University Medical Center that included at least one page message to physicians. Exclusion criteria included patients

SUBMITTER: Steitz BD 

PROVIDER: S-EPMC10817885 | biostudies-literature | 2024 Jan

REPOSITORIES: biostudies-literature