Data-Driven Measurement and Monitoring to Enhance Care Quality

Research shows that the consistent tracking of behavioral health symptoms, progress, and outcomes using brief, standardized questionnaires improves outcomes, supports earlier interventions, and reduces costs. Despite its proven benefits, this approach is not yet deployed throughout mental health care. AI can reduce the burdens associated with measurement and enable greater use of measurement-informed care as a key component of everyday practice.¹