Artificial Intelligence Technologies for Coping with Alarm Fatigue in Hospital Environments Because of Sensory Overload: Algorithm Development and Validation.

Chrystinne Oliveira Fernandes Simon Miles Carlos José Pereira De Lucena Donald Cowan

Published in: Journal of medical Internet research (2019)

The experimental results strongly suggest that this reasoning algorithm is a useful strategy for avoiding alarm fatigue. Although we evaluated our algorithm in an experimental environment, we tried to reproduce the context of a clinical environment by using real-world patient data. Our future work is to reproduce the evaluation study based on more realistic clinical conditions by increasing the number of patients, monitoring parameters, and types of alarm.

Keyphrases

artificial intelligence
machine learning
deep learning
big data
end stage renal disease
newly diagnosed
ejection fraction
chronic kidney disease
sleep quality
healthcare
depressive symptoms
peritoneal dialysis
social support
acute care
drug induced
data analysis