Mental healthcare, however, has largely remained an exception. Despite significant advances in neuroscience and psychiatric treatment, clinicians often still rely on subjective reports in conversations that occur every few weeks or months, without objective visibility into what happens between visits.1 This creates an important opportunity. Many of the earliest signs of worsening mental health emerge gradually in everyday life, long before they are visible during an office appointment or require hospitalization.2 For individuals living with severe mental illnesses such as schizophrenia or bipolar disorder, some of the earliest indicators of clinical change may first appear as subtle disruptions in sleep, physical activity, or daily routines.3 These behavioral shifts may emerge before symptoms become severe enough to prompt emergency care.1,3 While no single data point can predict a mental health episode, longitudinal trends across multiple behavioral signals may provide valuable context that helps clinicians better understand how a patient is doing between visits.1,2
At Google Health Enterprise, we believe connected health and wellness technologies have the potential to help bridge this gap by bringing meaningful, real-world health information.4 Our collaboration with Amae Health represents an exciting step toward that vision.
Individuals living with a variety of mental illnesses often experience cycles of stability interrupted by periods of worsening symptoms that can lead to hospitalization or crisis.1,3 Historically, clinicians have had relatively few objective tools to monitor these conditions between appointments, making it difficult to identify subtle changes before symptoms become more severe.3
Amae Health has built an innovative outpatient model specifically designed for people living with complex mental health conditions, combining psychiatry, therapy, primary care, nutrition, peer support, and social services into one integrated care team. As Amae Health has expanded, it has partnered with leading health systems across the country including NewYork-Presbyterian, Mass General Brigham, Novant Health, and Cedars-Sinai to help extend access to high-quality outpatient care for people living with severe mental illness. These collaborations reflect a shared commitment to improving continuity of care and reducing unnecessary hospitalizations. Amae Health’s emphasis on longitudinal relationships, whole-person care, measurement-based treatment, and demonstrated clinical outcomes made them an ideal partner to explore how wearable-derived insights can become part of routine psychiatric care.
Throughout our collaboration, both organizations have shared a common goal: equipping clinicians with richer information that complements their clinical expertise. Together, we're exploring how longitudinal signals from Google Fitbit devices, including changes in sleep, activity, and other behavioral patterns, can be integrated alongside patient-reported outcomes and clinical information to give Amae care teams a richer understanding of patient health between visits. This collaboration with Amae Health reflects a broader evolution in how wearable-derived information can be responsibly integrated into healthcare delivery; not simply as consumer insights, but as part of evidence-informed clinical workflows. Both Amae Health and Google Health Enterprise have remained focused on ensuring wearable-derived insights can become a tool to support clinician decision-making while respecting the central role of provider judgment and individualized patient care. By making longitudinal behavioral information available to care teams through this partnership, we hope to help providers move beyond isolated snapshots toward a more complete understanding of patient health.
Healthcare is increasingly moving from reactive treatment toward proactive, continuous care. Mental health deserves to benefit from that same transformation. Moving forward, mental health care providers will likely have the ability to combine multiple sources of information—including clinical expertise, patient-reported outcomes, behavioral data, and emerging digital biomarkers—to provide a more comprehensive understanding of mental health.
For more details about the partnership, read the official press release.
At Google Health Enterprise, we believe connected health and wellness technologies have the potential to help bridge this gap by bringing meaningful, real-world health information.4 Our collaboration with Amae Health represents an exciting step toward that vision.
Individuals living with a variety of mental illnesses often experience cycles of stability interrupted by periods of worsening symptoms that can lead to hospitalization or crisis.1,3 Historically, clinicians have had relatively few objective tools to monitor these conditions between appointments, making it difficult to identify subtle changes before symptoms become more severe.3
Amae Health has built an innovative outpatient model specifically designed for people living with complex mental health conditions, combining psychiatry, therapy, primary care, nutrition, peer support, and social services into one integrated care team. As Amae Health has expanded, it has partnered with leading health systems across the country including NewYork-Presbyterian, Mass General Brigham, Novant Health, and Cedars-Sinai to help extend access to high-quality outpatient care for people living with severe mental illness. These collaborations reflect a shared commitment to improving continuity of care and reducing unnecessary hospitalizations. Amae Health’s emphasis on longitudinal relationships, whole-person care, measurement-based treatment, and demonstrated clinical outcomes made them an ideal partner to explore how wearable-derived insights can become part of routine psychiatric care.
Throughout our collaboration, both organizations have shared a common goal: equipping clinicians with richer information that complements their clinical expertise. Together, we're exploring how longitudinal signals from Google Fitbit devices, including changes in sleep, activity, and other behavioral patterns, can be integrated alongside patient-reported outcomes and clinical information to give Amae care teams a richer understanding of patient health between visits. This collaboration with Amae Health reflects a broader evolution in how wearable-derived information can be responsibly integrated into healthcare delivery; not simply as consumer insights, but as part of evidence-informed clinical workflows. Both Amae Health and Google Health Enterprise have remained focused on ensuring wearable-derived insights can become a tool to support clinician decision-making while respecting the central role of provider judgment and individualized patient care. By making longitudinal behavioral information available to care teams through this partnership, we hope to help providers move beyond isolated snapshots toward a more complete understanding of patient health.
Healthcare is increasingly moving from reactive treatment toward proactive, continuous care. Mental health deserves to benefit from that same transformation. Moving forward, mental health care providers will likely have the ability to combine multiple sources of information—including clinical expertise, patient-reported outcomes, behavioral data, and emerging digital biomarkers—to provide a more comprehensive understanding of mental health.
For more details about the partnership, read the official press release.
