Hasso-Plattner-Institut
Prof. Dr.-Ing. Bert Arnrich
 

INALO

Intelligent Alarm Optimization for the Intensive Care Unit

Funded by the Federal Ministry of Education and Research.

In cooperation with AICURA medical, Charité – Universitätsmedizin Berlin, and idalab.

Bjarne Pfitzner, Jonas Chromik

The monitoring of vital signs in the intensive care unit (ICU) has significantly improved patient safety by alerting ICU staff when a parameter deviates from the normal range. However, up to 99% of these alarms are false-positive, resulting in desensitization of staff to critical alarms and several deaths per year.

The goal of the INALO project is to develop patient-specific and user-centered software based on Artificial Intelligence (AI) for the intelligent optimization of alarms generated by patient monitors. Alarms from the existing patient monitoring system in ICU can be prioritized in a patient-specific manner and false-positive alarms can be filtered out with the INALO system. For the development, available clinical data from the patient monitoring system and the electronic health record (EHR) will be combined and the latest advances in machine learning will be applied.

The intelligent combination of different data streams and subsequent AI-based processing will generate added value in patient treatment. With this approach, INALO is facing one of the central challenges of digitalization in medicine.

For more information, please visit the project's website: inalo.ai

Publications

  • Computational Approaches to Alleviate Alarm Fatigue in Intensive Care Medicine: A Systematic Literature Review. Chromik, Jonas; Klopfenstein, Sophie Anne Ines; Pfitzner, Bjarne; Sinno, Zeena-Carola; Arnrich, Bert; Balzer, Felix; Poncette, Akira-Sebastian in Frontiers in Digital Health (2022). 4
     
  • Forecasting Thresholds Alarms in Medical Patient Monitors using Time Series Models. Chromik., Jonas; Pfitzner., Bjarne; Ihde., Nina; Michaelis., Marius; Schmidt., Denise; Klopfenstein., Sophie; Poncette., Akira-Sebastian; Balzer., Felix; Arnrich., Bert (2022). 26–34.
     
  • Extracting Alarm Events from the MIMIC-III Clinical Database. Chromik., Jonas; Pfitzner., Bjarne; Ihde., Nina; Michaelis., Marius; Schmidt., Denise; Klopfenstein., Sophie; Poncette., Akira-Sebastian; Balzer., Felix; Arnrich., Bert (2022). 328–335.