Related Experiment Video
Updated: Jul 8, 2025
A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
Published on: January 11, 2020
A narrative review of the development and performance characteristics of electronic delirium-screening tools
Eamonn Eeles1, David Duc Tran2, Jemima Boyd3
1Internal Medicine Services, The Prince Charles Hospital, Brisbane, Queensland, Australia; Northside Clinical School, School of Medicine, University of Queensland, Australia; Critical Care Research Group, School of Clinical Sciences, Queensland University of Technology, Department of Mental Health, Caboolture Hospital, University of Queensland, Faculty of Medicine, Brisbane, Queensland, Australia; UQ Centre for Clinical Research, Faculty of Medicine, The University of Queensland, Queensland, Australia.
Background:
Electronic delirium-screening tools are an emergent area of research.
Objective:
The objective of this study was to summarise the development and performance characteristics of electronic screening tools in delirium.
Methods:
Searches were conducted in Pubmed, Embase, and CINAHL Complete databases to identify electronic delirium-screening tools.
Results:
Five electronic delirium-screening tools were identified and reviewed. Two were designed for and tested within a medical setting, and three were applied to intensive care. Adaptive design features, such as skip function to reduce test burden, were variably integrated into instrument design. All tools were shown to have acceptable psychometric properties, but validation studies were largely incomplete.
Conclusions:
Electronic delirium-screening tools are an exciting area of development and may offer hope for improved uptake of delirium screening.
More Related Videos
04:33Author Spotlight: Unveiling the Connection Between Sleep Disorders and Cognitive Symptoms in Depression
Published on: April 26, 2024
07:02A Computerized Test Battery to Study Pharmacodynamic Effects on the Central Nervous System of Cholinergic Drugs in Early Phase Drug Development
Published on: February 11, 2019