Automated Identification of Adults at Risk for In-Hospital Clinical Deterioration.

ABSTRACT:

Background

Hospitalized adults whose condition deteriorates while they are in wards (outside the intensive care unit [ICU]) have considerable morbidity and mortality. Early identification of patients at risk for clinical deterioration has relied on manually calculated scores. Outcomes after an automated detection of impending clinical deterioration have not been widely reported.

Methods

On the basis of a validated model that uses information from electronic medical records to identify hospitalized patients at high risk for clinical deterioration (which permits automated, real-time risk-score calculation), we developed an intervention program involving remote monitoring by nurses who reviewed records of patients who had been identified as being at high risk; results of this m

SUBMITTER: Escobar GJ 

PROVIDER: S-EPMC7787261 | biostudies-literature | 2020 Nov

REPOSITORIES: biostudies-literature