Research Focus
Acute deterioration prediction: Developing predictive models to help analyze electronic health records to better serve hospitalized patients at risk for sepsis or other critical deterioration.
Precision population health: Developing data infrastructure, predictive models and care models to help improve outcomes for behavioral/mental health and asthma by collecting data, identifying at-risk individuals and implementing proactive interventions to prevent emergency department visits and hospitalizations.
Clinician and health system efficiency: Developing HIPAA-compliant infrastructure; regulatory framework for AI models, notifications and education; and AI-based triaging based on patient/family communications to increase efficiency within hospitals and across care networks.
Objectives
- Move toward a “whole child” approach to care delivery; rethinking how we understand illness so we may treat and empower patients to experience illness without being defined by it; and transitioning to an integrated healthcare delivery system that includes children and caregivers as part of the treatment process.
- Provide children and adolescents with the tools they need to understand their own health and well-being. This pillar supports health education and engagement, targeting children without strong health education programs in school to encourage children to build healthy habits and recognize the importance of preventative measures to avoid illness.
Meet the Team
John Constantino, MD
PTC Pillar 2 Co-Lead