Timely recognition of deteriorating patients is key to preventing adverse events and improving safety. Although early warning scores and machine learning-based alert systems are common in many healthcare areas, their use in psychiatric and mental health units remains limited. This gap in prediction tools can lead to adverse events such as restraint, seclusion, and harm to patients or staff.