TY  - JOUR
A1  - Chromik, Jonas
A1  - Klopfenstein, Sophie Anne Ines
A1  - Pfitzner, Bjarne
A1  - Sinno, Zeena-Carola
A1  - Arnrich, Bert
A1  - Balzer, Felix
A1  - Poncette, Akira-Sebastian
T1  - Computational approaches to alleviate alarm fatigue in intensive care medicine: a systematic literature review
JF  - Frontiers in digital health
N2  - 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.
KW  - alarm fatigue
KW  - alarm management
KW  - alarm optimisation
KW  - intensive care unit
KW  - IT system
KW  - patient monitoring
KW  - ICU
KW  - critical care
Y1  - 2022
U6  - https://doi.org/10.3389/fdgth.2022.843747
SN  - 2673-253X
VL  - 4
PB  - Frontiers Media
CY  - Lausanne
ER  -