Mitigating Medical Alarm Fatigue with Cognitive Heuristics
M. Hussain, J. Dewey, und N. Weibel. Proceedings of the 10th EAI International Conference on Pervasive Computing Technologies for Healthcare, Seite 178--185. ICST, Brussels, Belgium, Belgium, ICST (Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering), (2016)
Zusammenfassung
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.
%0 Conference Paper
%1 hussain_mitigating_2016
%A Hussain, Mustafa
%A Dewey, James
%A Weibel, Nadir
%B Proceedings of the 10th EAI International Conference on Pervasive Computing Technologies for Healthcare
%C ICST, Brussels, Belgium, Belgium
%D 2016
%I ICST (Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering)
%K alarm clinical cognition, cognitive decision distributed fast-and-frugal fatigue, heuristics, informatics, modeling monitoring patient support systems, trees,
%P 178--185
%T Mitigating Medical Alarm Fatigue with Cognitive Heuristics
%U http://dl.acm.org/citation.cfm?id=3021319.3021345
%X 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.
%@ 978-1-63190-051-8
@inproceedings{hussain_mitigating_2016,
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.},
added-at = {2019-02-18T07:11:07.000+0100},
address = {ICST, Brussels, Belgium, Belgium},
author = {Hussain, Mustafa and Dewey, James and Weibel, Nadir},
biburl = {https://www.bibsonomy.org/bibtex/285dbac5f440b20ec6107e9a80067f413/weibel},
booktitle = {Proceedings of the 10th {EAI} {International} {Conference} on {Pervasive} {Computing} {Technologies} for {Healthcare}},
file = {ACM Full Text PDF:/Users/weibel/Zotero/storage/JT35H2E8/Hussain et al. - 2016 - Mitigating Medical Alarm Fatigue with Cognitive He.pdf:application/pdf},
interhash = {bce9383ae1badc983ca5dd24e85dab61},
intrahash = {85dbac5f440b20ec6107e9a80067f413},
isbn = {978-1-63190-051-8},
keywords = {alarm clinical cognition, cognitive decision distributed fast-and-frugal fatigue, heuristics, informatics, modeling monitoring patient support systems, trees,},
pages = {178--185},
publisher = {ICST (Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering)},
series = {{PervasiveHealth} '16},
timestamp = {2019-02-18T07:11:07.000+0100},
title = {Mitigating {Medical} {Alarm} {Fatigue} with {Cognitive} {Heuristics}},
url = {http://dl.acm.org/citation.cfm?id=3021319.3021345},
urldate = {2018-12-06},
year = 2016
}