Amae Health is bringing Google Health Enterprise data into its care model for people with complex mental health conditions, using wearables to spot signs of deterioration between visits.
Sleep patterns, physical activity, heart-rate variability and changes in daily routines from the Google Health app and Fitbit devices will be incorporated into Amae’s clinical workflows, giving care teams insight into how patients are functioning between appointments.
Amae treats patients with schizophrenia, bipolar disorder, major depressive disorder and severe personality disorders, combining psychiatry and therapy with primary care. The company says combining behavioral signals with clinical data could help clinicians identify changes earlier and predict relapses.
Dr. Scott Fears, the company’s chief medical officer, notes that psychiatry has never had objective tools to track disease progression or treatment response. Wearable signals, he argues, reveal measurable illness patterns in daily life that can foreshadow worsening symptoms.
Amae is also developing a composite mental health score modeled on cardiac risk scoring, combining wearable behavioral information with biomarkers, EEG data, voice analysis and medication response.
