@inproceedings{hussain_mitigating_2016,
	address = {ICST, Brussels, Belgium, Belgium},
	series = {{PervasiveHealth} '16},
	title = {Mitigating {Medical} {Alarm} {Fatigue} with {Cognitive} {Heuristics}},
	isbn = {978-1-63190-051-8},
	url = {http://dl.acm.org/citation.cfm?id=3021319.3021345},
	abstract = {Automated patient monitoring systems suffer 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.},
	urldate = {2018-12-06},
	booktitle = {Proceedings of the 10th {EAI} {International} {Conference} on {Pervasive} {Computing} {Technologies} for {Healthcare}},
	publisher = {ICST (Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering)},
	author = {Hussain, Mustafa and Dewey, James and Weibel, Nadir},
	year = {2016},
	keywords = {alarm fatigue, clinical decision support systems, clinical informatics, cognitive heuristics, decision modeling, distributed cognition, fast-and-frugal trees, patient monitoring systems},
	pages = {178--185},
}

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