Decoding Disparity: Leveraging Data and Tech to Address Social Determinants

Focus: Data/Technology + Social Determinants of Health

Exploring how cutting-edge data science and technology are revolutionizing the fight against health inequality. We will examine the critical role of predictive analytics in identifying patient populations most vulnerable to adverse health outcomes due to Social Determinants of Health (SDOH), such as housing instability, food insecurity, and transportation barriers.

The core focus is on interoperability—the necessary linkage between clinical records, community resource databases, and social services. Attendees will learn how leading organizations are overcoming data silos to create a holistic view of the patient, enabling timely, targeted, and measurable interventions.

Key takeaways include:

• Actionable Insights: How to move from raw SDOH data collection to generating prioritized and actionable insights for care teams.
• Closing the Loop: Strategies for establishing effective, bidirectional data exchange between healthcare providers and community-based organizations (CBOs).
• Tech Stack Triumphs: Real-world examples of platforms and tools that successfully integrate social risk data into the standard clinical workflow and drive measurable ROI in health outcomes.
• Ethical Data Use: A discussion on maintaining patient privacy and mitigating bias when leveraging social data for predictive modeling.