Rayo lab's interdisciplinary approach improves Code Blue response times
TDAI core faculty Mike Rayo, assistant professor in integrated systems engineering and lead of the Cognitive Systems Engineering Lab, is co-investigator on a study that sought to reduce nurses' response times to Code Blue alarms in hospitals while also alleviating alarm fatigue. The team identified how increasing alarm identifiability while also reducing the rate of alarms per day improves response time.
"I am very excited about this work, as it demonstrates the benefits of a transdisciplinary data analytics, cognitive systems engineering, and clinical approach," Rayo said. "We can use data analytics--in this case, the data collection, data cleaning and statistical analysis methods--grounded in our understanding of the relevant social sciences--in this case, cognitive psychology--to continuously monitor the effects of interventions and detect when new interventions are needed."
- Clinical alarms set designed by CSEL (includes links to audio files and related studies)
- The design ontology used to create the alarms
Feature photo by Ömer Yıldız, Unsplash