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1.    Sendelbach, S., & Funk, M. (2013). Alarm fatigue: a patient safety concern. AACN advanced critical care, 24(4), 378–388.

2.    Johnson, K. R., Hagadorn, J. I., & Sink, D. W. (2017). Alarm Safety and Alarm Fatigue. Clinics in Perinatology, 44(3), 713–728.

3.    Jones, K. (2014). Alarm fatigue a top patient safety hazard. CMAJ: Canadian Medical Association Journal = Journal de l’Association Medicale Canadienne, 186(3), 178. 

4.    Ruskin, K. J., & Hueske-Kraus, D. (2015). Alarm fatigue: Impacts on patient safety. Current Opinion in Anesthesiology, 28(6), 685–690.

5.    Graham, K. C., & Cvach, M. (2010). Monitor Alarm Fatigue: Standardizing Use of Physiological Monitors and Decreasing Nuisance Alarms. American Journal of Critical Care, 19(1), 28–34.

6.    Honan, L., Funk, M., Maynard, M., Fahs, D., Clark, J. T., & David, Y. (2015). Nurses’ Perspectives on Clinical Alarms. American Journal of Critical Care, 24(5), 387–395.

7.    Drews, F. A., Markewitz, B. A., Stoddard, G. J., & Samore, M. H. (2019). Interruptions and Delivery of Care in the Intensive Care Unit. Human factors, 61(4), 564–576.

8.    Bach, T. A., Berglund, L.-M., & Turk, E. (2018). Managing alarm systems for quality and safety in the hospital setting. BMJ Open Qual, 7(3), e000202.

9.    Winters, B. D., Cvach, M. M., Bonafide, C. P., Hu, X., Konkani, A., O’Connor, M. F., Rothschild, J. M., Selby, N. M., Pelter, M. M., McLean, B., Kane-Gill, S. L., & Force, T. S. for C. C. M. A. and A. F. T. (2018). Technological Distractions (Part 2): A Summary of Approaches to Manage Clinical Alarms With Intent to Reduce Alarm Fatigue. Critical Care Medicine, 46(1), 130.

10.    Celi, L. A., Mark, R. G., Stone, D. J., & Montgomery, R. A. (2013). „Big data“ in the intensive care unit. Closing the data loop. American journal of respiratory and critical care medicine, 187(11), 1157–1160.

11.    Zhang, Y. (2007). Real-time development of patient-specific alarm algorithms for critical care. Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference, 2007, 4351–4354.

12.    Schwab, P., Keller, E., Muroi, C., Mack, D.J., Strässle, C. & Karlen, W. (2018). Not to Cry Wolf: Distantly Supervised Multitask Learning in Critical Care. Proceedings of the 35th International Conference on Machine Learning, in PMLR 80:4518-4527

13.    Hever, G., Cohen, L., O’Connor, M. F., Matot, I., Lerner, B., & Bitan, Y. (2020). Machine learning applied to multi-sensor information to reduce false alarm rate in the ICU. Journal of clinical monitoring and computing, 34(2), 339–352.

14.    Eerikäinen, L. M., Vanschoren, J., Rooijakkers, M. J., Vullings, R., & Aarts, R. M. (2016). Reduction of false arrhythmia alarms using signal selection and machine learning. Physiological measurement, 37(8), 1204–1216.

Referenzen & Abkürzungen


BMBF: Bundesministerium für Bildung und Forschung
INALO: Intelligenter Alarmoptimierer für die Intensivstation
ITS: Intensivstation
KI: Künstliche Intelligenz
ML: Machine Learning / maschinelles Lernen

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