Five AI triage tactics to calm wearable alarms

Wearable risk scores rank alerts into Low, Medium, High, and Urgent, catching 30 of 39 deteriorations yet false positives persist.

A 39-patient study found adaptive thresholds could raise sensitivity or reduce alarm rate, but evidence is mostly hospital-based.

Context-aware filters use activity, audio, location, and room or vital-sign context to time notifications, mostly for timing and triage.

Human reviewers turn acknowledged alerts into actions, but direct snooze-or-dismiss retraining evidence is thin.

Grouping and refractory rules suppress duplicate alerts, mostly in ICU or seizure-monitoring wearables.