Smartphone Data Predicts Relapse Risk in Psychosis

A study in Schizophrenia Bulletin explored the use of digital phenotyping — collecting passive and active data from smartphones — to monitor individuals with psychotic spectrum disorders. The research followed participants over time, analyzing behavioral and activity patterns captured through their devices.

Findings showed that smartphone data could accurately predict relapse risk, offering clinicians an early warning system before symptoms reached crisis levels. Changes in social activity, communication patterns, and mobility were particularly informative indicators.

Digital phenotyping provides a powerful new tool for managing chronic mental health conditions like schizophrenia. By harnessing everyday technology, clinicians can gain real-time insights that improve care and prevent hospitalizations. The study demonstrates the promise of blending digital monitoring with traditional treatment to deliver proactive, personalized mental health support.