Key result
DASH self-regulates alarm loudness based on environmental noise to reduce clinician alarm fatigue.
D.A.S.H. is an engineered dynamic alarm system designed to self-regulate loudness and incorporate learnable alarms to reduce clinician alarm fatigue.
Answers are grounded in this paper and cite their sources.
D.A.S.H. design merits prospective testing; Level 5 evidence leaves open any reduction in alarm fatigue or practice change.
Hospital alarms today indicate urgent clinical need, but they are seldom “true.” False alarms are contributing to the ever-increasing issue of alarm fatigue, or desensitization, among doctors and nurses. Alarm fatigue is a high-priority health care concern because of its potential to compromise health care quality and inflict harm on patients. To address this concern, we have engineered Dynamic Alarm Systems for Hospitals (D.A.S.H.), a dynamic alarm system that self-regulates alarm loudness based on the environmental noise level and incorporates differentiable and learnable alarms. D.A.S.H., with its ability to adapt to environmental noise and encode nuanced physiological information, may improve patient safety and attenuate clinician alarm fatigue.
No takes yet. Share an insight, caveat, or question.
Greer et al. (2018) studied Alarm fatigue. Dynamic Alarm Systems for Hospitals (D.A.S.H.) was evaluated. Dynamic Alarm Systems for Hospitals (D.A.S.H.) was engineered to self-regulate alarm loudness based on environmental noise to attenuate clinician alarm fatigue.
Synapse has enriched 10 related papers. Consider them for comparative context: