A large percentage of alarms are false in an ICU

 Karsten Jensen, Jeff Jopling, 

Adriana Fuentes, Lars Christensen

>80-90% of alarms are false

Alarm Fatigue Medical errors 

Regulation: A lot of solutions to the problem have never been implemented

Each sensor can be adjusted to meetpatient’s individual physiology…

…but also comes with its ownuniquely complicated way of configuring new parameters

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.

  

2.: Develop new algorithm that compares related waveforms   

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 ContextGörges et al. Using the blood pressure waveform to reduce critical false ECG alarmsClifford et al.

Making ICU Alarms Meaningful:a comparison of traditional vs. trend-based algorithmsSchoenberg et al.

Real-Time Development of Patient-Specific Alarm Algorithms for Critical CareYing Zhang