Detecting False Alarms by Analyzing Alarm-Context Information: Algorithm Development and Validation.

Chrystinne Oliveira Fernandes Simon Miles Carlos José Pereira De Lucena

Published in: JMIR medical informatics (2020)

Experiments were conducted to demonstrate that by providing an intelligent notification system, we could decide how to identify false alarms by analyzing alarm-context information. The reasoner entity we described in this paper was able to attribute FAP values to alarms based on FAIs and to notify caregivers with a FAP_LABEL indication without compromising patient safety.

Keyphrases

patient safety
quality improvement
health information
machine learning
palliative care
deep learning