Predicting Patient Deterioration: A Review of Tools in the Digital Hospital Setting.

ABSTRACT:

Background

Early warning tools identify patients at risk of deterioration in hospitals. Electronic medical records in hospitals offer real-time data and the opportunity to automate early warning tools and provide real-time, dynamic risk estimates.

Objective

This review describes published studies on the development, validation, and implementation of tools for predicting patient deterioration in general wards in hospitals.

Methods

An electronic database search of peer reviewed journal papers from 2008-2020 identified studies reporting the use of tools and algorithms for predicting patient deterioration, defined by unplanned transfer to the intensive care unit, cardiac arrest, or death. Studies conducted solely in intensive care units, emergency departments, or single d

SUBMITTER: Mann KD 

PROVIDER: S-EPMC8517822 | biostudies-literature | 2021 Sep

REPOSITORIES: biostudies-literature