Faculty, Staff and Student Publications
Publication Date
1-1-2022
Journal
Critical Care Clinics
Abstract
Patient care in intensive care environments is complex, time-sensitive, and data-rich, factors that make these settings particularly well-suited to clinical decision support (CDS). A wide range of CDS interventions have been used in intensive care unit environments. The field needs well-designed studies to identify the most effective CDS approaches. Evolving artificial intelligence and machine learning models may reduce information-overload and enable teams to take better advantage of the large volume of patient data available to them. It is vital to effectively integrate new CDS into clinical workflows and to align closely with the cognitive processes of frontline clinicians.
Keywords
Artificial Intelligence, Critical Care, Decision Support Systems, Clinical, Humans, Intensive Care Units, Machine Learning
DOI
10.1016/j.ccc.2021.08.004
PMID
34794627
PMCID
PMC8608279
PubMedCentral® Posted Date
1-1-2023
PubMedCentral® Full Text Version
Author MSS
Published Open-Access
yes
Included in
Artificial Intelligence and Robotics Commons, Bioinformatics Commons, Biomedical Informatics Commons, Critical Care Commons
