dc.contributor.author
Chromik, Jonas
dc.contributor.author
Klopfenstein, Sophie Anne Ines
dc.contributor.author
Pfitzner, Bjarne
dc.contributor.author
Sinno, Zeena-Carola
dc.contributor.author
Arnrich, Bert
dc.contributor.author
Balzer, Felix
dc.contributor.author
Poncette, Akira-Sebastian
dc.date.accessioned
2023-04-13T13:47:57Z
dc.date.available
2023-04-13T13:47:57Z
dc.identifier.uri
https://refubium.fu-berlin.de/handle/fub188/38880
dc.identifier.uri
http://dx.doi.org/10.17169/refubium-38596
dc.description.abstract
Patient monitoring technology has been used to guide therapy and alert staff when a vital sign leaves a predefined range in the intensive care unit (ICU) for decades. However, large amounts of technically false or clinically irrelevant alarms provoke alarm fatigue in staff leading to desensitisation towards critical alarms. With this systematic review, we are following the Preferred Reporting Items for Systematic Reviews (PRISMA) checklist in order to summarise scientific efforts that aimed to develop IT systems to reduce alarm fatigue in ICUs. 69 peer-reviewed publications were included. The majority of publications targeted the avoidance of technically false alarms, while the remainder focused on prediction of patient deterioration or alarm presentation. The investigated alarm types were mostly associated with heart rate or arrhythmia, followed by arterial blood pressure, oxygen saturation, and respiratory rate. Most publications focused on the development of software solutions, some on wearables, smartphones, or headmounted displays for delivering alarms to staff. The most commonly used statistical models were tree-based. In conclusion, we found strong evidence that alarm fatigue can be alleviated by IT-based solutions. However, future efforts should focus more on the avoidance of clinically non-actionable alarms which could be accelerated by improving the data availability.
dc.rights.uri
https://creativecommons.org/licenses/by/4.0/
dc.subject
Alarm fatigue
en
dc.subject
alarm management
en
dc.subject
alarm optimisation
en
dc.subject
critical care
en
dc.subject
intensive care unit
en
dc.subject
patient monitoring
en
dc.subject.ddc
600 Technik, Medizin, angewandte Wissenschaften::610 Medizin und Gesundheit::610 Medizin und Gesundheit
dc.title
Computational approaches to alleviate alarm fatigue in intensive care medicine: A systematic literature review
dc.type
Wissenschaftlicher Artikel
dcterms.bibliographicCitation.articlenumber
843747
dcterms.bibliographicCitation.doi
10.3389/fdgth.2022.843747
dcterms.bibliographicCitation.journaltitle
Frontiers in Digital Health
dcterms.bibliographicCitation.originalpublishername
Frontiers Media SA
dcterms.bibliographicCitation.volume
4
refubium.affiliation
Charité - Universitätsmedizin Berlin
refubium.resourceType.isindependentpub
no
dcterms.accessRights.openaire
open access
dcterms.bibliographicCitation.pmid
36052315
dcterms.isPartOf.eissn
2673-253X