1. A large percentage of alarms are false in an ICU Karsten Jensen, Jeff Jopling, Adriana Fuentes, Lars Christensen

2. >80-90% of alarms are false Alarm Fatigue  Medical errors

3. Regulation: A lot of solutions to the problem have never been implemented Each sensor can be adjusted to meet patient’s individual physiology… …but also comes with its own uniquely complicated way of configuring new parameters

4. 1.: Automatic proposal for alarm settings A function that based on the trended data from the patient gives a proposal for the alarm threshold, which the nurse can then accept.

5. 2.: Develop new algorithm that compares related waveforms

6. Patient Monitors in Critical Care: Lessons for Improvement Frank A. Drews, PhD Improving Alarm Performance in the Medical Intensive Care Unit Using Delays and Clinical Context Görges et al. Using the blood pressure waveform to reduce critical false ECG alarms Clifford et al. Making ICU Alarms Meaningful: a comparison of traditional vs. trend-based algorithms Schoenberg et al. Real-Time Development of Patient-Specific Alarm Algorithms for Critical Care Ying Zhang