Model establishment based on clinical data from patient monitors: Optimising night-time alarms in intensive care units.

Objectives: The purpose of this study is to establish a model correlating the number of alarms and effective alarms on a monitor, and to use this model to optimise night-time alarm issues in intensive care units in order to reduce alarm fatigue among night shift nurses.

Methods: A retrospective study method was used to track 1,843 samples. Based on partial experimental design analysis, a model for 'alarm frequency' and 'effective alarms' was established for the monitor, which was then optimised using the composite centre factorial (CCF) method. The performance of the model was evaluated using random sampling and night-time model application.

Results: We can model based on three factors: 'APACHE II score,' 'Alarm time period,' and 'Nurse ICU work years.' After using this model, the average number of alarms decreased by 11.86%, and the average proportion of effective alarms increased by 4%.

Conclusions: We can use CCF modeling to manage monitors and help reduce patient and nurse fatigue.

Implications for clinical practice: The number of monitor alarms and effective alarms related to the patient's condition, working time period, and the nurse's experience. We can tailor the management strategy of the monitor based on clinical conditions, reducing the number of night-time alarms while ensuring patient safety, increasing the effectiveness of alarms, and reducing nurse alarm fatigue. The longer the length of service in critical care, the less significant the improvement in monitor alarm performance.