Enhancing Diagnosis Through Technology: Decision Support, Artificial Intelligence, and Beyond

Authors

Language

English

Publication Date

1-1-2022

Journal

Critical Care Clinics

DOI

10.1016/j.ccc.2021.08.004

PMID

34794627

PMCID

PMC8608279

PubMedCentral® Posted Date

1-1-2023

PubMedCentral® Full Text Version

Author MSS

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

Published Open-Access

yes

Recommended Citation

, "Enhancing Diagnosis Through Technology: Decision Support, Artificial Intelligence, and Beyond" (2022). Faculty, Staff and Student Publications. 550.
https://digitalcommons.library.tmc.edu/uthshis_docs/550