Using real-time visualization system for data-driven decision support to achieve lung protective strategy: a retrospective observational study.

ABSTRACT:

Background

Although lung protective strategy and adjunctive intervention are associated with improved survival in patients with acute respiratory distress syndrome (ARDS), the implementation of effective therapies remains low. This study aimed to evaluate whether the use of business intelligence (BI) for real-time data visualization is associated with an improvement in lung protective strategy and adjunctive therapy.

Methods

A retrospective observational cohort study was conducted on patients with ARDS admitted between September 2020 and June 2021 at two intensive care units (ICUs) of a tertiary referral hospital in Taiwan. BI was imported for data visualization and integration to assist in clinical decision in one of the ICUs. The primary outcomes were the implementation of

SUBMITTER: Tseng HY 

PROVIDER: S-EPMC9395891 | biostudies-literature | 2022 Aug

REPOSITORIES: biostudies-literature