Research Article
Mitigating Medical Alarm Fatigue with Cognitive Heuristics
@INPROCEEDINGS{10.4108/eai.16-5-2016.2263326, author={Mustafa Hussain and James Dewey and Nadir Weibel}, title={Mitigating Medical Alarm Fatigue with Cognitive Heuristics}, proceedings={10th EAI International Conference on Pervasive Computing Technologies for Healthcare}, publisher={ACM}, proceedings_a={PERVASIVEHEALTH}, year={2016}, month={6}, keywords={cognitive heuristics fast-and-frugal trees patient monitoring systems alarm fatigue}, doi={10.4108/eai.16-5-2016.2263326} }- Mustafa Hussain
James Dewey
Nadir Weibel
Year: 2016
Mitigating Medical Alarm Fatigue with Cognitive Heuristics
PERVASIVEHEALTH
EAI
DOI: 10.4108/eai.16-5-2016.2263326
Abstract
Automated patient monitoring systems su er from several design problems. Among them, alarm fatigue is one of the most critical issues, as evidenced by the Sentinel Event Alert that The Joint Commission - the U.S. hospital-accrediting body - recently issued. In this study, we explore fast-and-frugal heuristics that may be used to prioritize patient alarms, while continuing to monitor patient physiological state. By using a combination of human factors methodologies and the theory of Distributed Cognition (DCog), we studied alarm fatigue and its relationship to the underlying hospital systems. We identified three specific factors that we envision to be helpful for clinical personnel: ventilator presence, number of intravenous drips, and number of medications. We discuss their application in daily hospital operation.
