Authors:
Jonas Chromik
1
;
Bjarne Pfitzner
1
;
Nina Ihde
1
;
Marius Michaelis
1
;
Denise Schmidt
1
;
Sophie Anne Ines Klopfenstein
2
;
Akira-Sebastian Poncette
2
;
Felix Balzer
2
and
Bert Arnrich
1
Affiliations:
1
Hasso Plattner Institute, University of Potsdam, Germany
;
2
Charité – Universitätsmedizin Berlin, Berlin, Germany
Keyword(s):
Patient Monitor Alarm, Medical Alarm, Intensive Care Unit, Vital Parameter, Data Cleaning, Data Extraction.
Abstract:
Lack of readily available data on ICU alarm events constitutes a major obstacle to alarm fatigue research.
There are ICU databases available that aim to give a holistic picture of everything happening at the respective
ICU. However, these databases do not contain data on alarm events. We utilise the vital parameters and alarm
thresholds recorded in the MIMIC-III database in order to artificially extract alarm events from this database.
Prior to that, we uncover, investigate, and mitigate inconsistencies we found in the data. The results of this
work are an approach and an algorithm for cleaning the alarm data available in MIMIC-III and extract concrete
alarm events from them. The data set generated by this algorithm is investigated in this work and can be used
for further research into the problem of alarm fatigue.
