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Cobus, Vanessa; Ehrhardt, Bastian; Böll, Susanne; Heuten, Wilko

doi:10.1145/3205873.3210710

Cited by 2 publications

(4 citation statements)

References 4 publications

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“…5 publications use no data at all or do not mention the use of data. This is the case in ( 43 – 47 )…”

Section: Resultsmentioning

confidence: 80%

“…Most of these papers are from Cobus et al since their proposed method includes hardware. These user studies consisted of the testing of the prototype ( 47 , 73 , 76 , 77 ), performance of tasks ( 46 , 47 , 77 ), interviews ( 45 , 58 ), as well as pilot sessions ( 42 ). Not all the papers included the number or the background of the participants in their user study.…”

Section: Resultsmentioning

confidence: 99%

“…This subgroup consists of ( 39 , 44 – 47 , 76 , 77 ). The first publication presents a dynamic system for alarm loudness regulation with respect to ambient noise ( 39 ).…”

Section: Resultsmentioning

confidence: 99%

“…The modalities used are vibration, peripheral light and (bone conduction) sound. They present a vibrotactile wearable alarm system worn on the upper arm ( 47 ) as well as different versions of a head-mounted display for alarm presentation showing an evolution throughout the years 2017 to 2019 ( 45 , 46 , 76 , 77 ). The head-mounted display delivers alarms as well as alarm-relevant information, such as the patient’s vital data, the sensor, the respective patient’s name or its priority.…”

Section: Resultsmentioning

confidence: 99%

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Computational approaches to alleviate alarm fatigue in intensive care medicine: A systematic literature review

Chromik

Klopfenstein

Pfitzner

et al. 2022

Front. Digit. Health

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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.Systematic Review Registration:https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42021233461, identifier: CRD42021233461.

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“…5 publications use no data at all or do not mention the use of data. This is the case in ( 43 – 47 )…”

Section: Resultsmentioning

confidence: 80%

Section: Resultsmentioning

confidence: 99%

“…This subgroup consists of ( 39 , 44 – 47 , 76 , 77 ). The first publication presents a dynamic system for alarm loudness regulation with respect to ambient noise ( 39 ).…”

Section: Resultsmentioning

confidence: 99%