SEPRES: Intensive Care Unit Clinical Data Integration System to Predict Sepsis.

ABSTRACT:

Background

The lack of information interoperability between different devices and systems in the intensive care unit (ICU) hinders further utilization of data, especially for early warning of specific diseases in the ICU.

Objectives

We aimed to establish a data integration system. Based on this system, the sepsis prediction module was added to compose the Sepsis PREdiction System (SEPRES), where real-time early warning of sepsis can be implemented at the bedside in the ICU.

Methods

Data are collected from bedside devices through the integration hub and uploaded to the integration system through the local area network. The data integration system was designed to integrate vital signs data, laboratory data, ventilator data, demographic data, pharmacy data, nursing data,

SUBMITTER: Chen Q 

PROVIDER: S-EPMC9876660 | biostudies-literature | 2023 Jan

REPOSITORIES: biostudies-literature