How Machine Learning Can Reduce False Alarms in Continuous Hospital Patient Monitoring

A study of 2,325 hospital patients suggests machine learning can distinguish dangerous deterioration from routine vital-sign fluctuations more effectively than fixed thresholds. The findings could reduce alarm fatigue, but the model was tested retrospectively, not as a live clinical alarm system, and still needs independent prospective validation.