Collection of annotated data in a clinical validation study for alarm algorithms in intensive care--a methodologic

Sylvia Siebig1, Silvia Kuhls, Michael Imhoff

  • 1Department of Internal Medicine I, Hospital of the University of Regensburg, D-93042 Regensburg, Germany. sylvia.siebig@klinik.uni-r.de

Summary

Critically ill patients generate numerous false alarms, reducing ICU staff alertness. A new system using real-time data and video annotations aims to develop smarter alarms, improving patient safety by reducing alarm fatigue.

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