Extracting Alarm Events from the MIMIC-III Clinical Database

Jonas Chromik, Bjarne Pfitzner, Nina Ihde, Marius Michaelis, Denise Schmidt, Sophie Anne Ines Klopfenstein, Akira-Sebastian Poncette, Felix Balzer, Bert Arnrich

2022

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.

Paper Citation

in Harvard Style

Chromik J., Pfitzner B., Ihde N., Michaelis M., Schmidt D., Klopfenstein S., Poncette A., Balzer F. and Arnrich B. (2022). Extracting Alarm Events from the MIMIC-III Clinical Database. In Proceedings of the 15th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2022) - Volume 5: HEALTHINF; ISBN 978-989-758-552-4, SciTePress, pages 328-335. DOI: 10.5220/0010767200003123

in Bibtex Style

@conference{healthinf22,
author={Jonas Chromik and Bjarne Pfitzner and Nina Ihde and Marius Michaelis and Denise Schmidt and Sophie Anne Ines Klopfenstein and Akira-Sebastian Poncette and Felix Balzer and Bert Arnrich},
title={Extracting Alarm Events from the MIMIC-III Clinical Database},
booktitle={Proceedings of the 15th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2022) - Volume 5: HEALTHINF},
year={2022},
pages={328-335},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010767200003123},
isbn={978-989-758-552-4},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 15th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2022) - Volume 5: HEALTHINF
TI - Extracting Alarm Events from the MIMIC-III Clinical Database
SN - 978-989-758-552-4
AU - Chromik J.
AU - Pfitzner B.
AU - Ihde N.
AU - Michaelis M.
AU - Schmidt D.
AU - Klopfenstein S.
AU - Poncette A.
AU - Balzer F.
AU - Arnrich B.
PY - 2022
SP - 328
EP - 335
DO - 10.5220/0010767200003123
PB - SciTePress