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Beyond the Buzzword: Making Social Drivers of Health Actionable with AI

At AMIA 2025, Radial showcased how AI can drive beneficial SDOH impact.

Emily Huang,
Emily Huang,
Operations Associate
July 21, 2025

The healthcare industry is abuzz with talk of Social Drivers of Health (SDOH) and its critical role in the shift towards value-based care. But as clinicians and informaticists well know, simply collecting data on social risk factors is not enough. The true challenge — and the greatest opportunity — lies in transforming that data into actionable insights that seamlessly integrate into clinical workflows and drive meaningful improvements in patient outcomes.

This important topic was highlighted at the American Medical Informatics Association (AMIA) 2025 National Clinical Informatics Conference in Anaheim, CA, where Kerry Son, Radial's Director of Clinical Innovation, presented a poster that garnered significant interest and sparked some dynamic conversations. The presentation, "Achieving value-based care success with an AI-driven SDOH Actionability Score," highlighted a pivotal shift in how we approach SDOH.

For too long, the focus has been on identifying SDOH needs. While a crucial first step, it often leaves clinicians with a wealth of information but limited guidance on what to do next. This is where the concept of "actionability" becomes paramount. It's about moving beyond the "what" to the "how" — pinpointing the specific interventions that will have the most significant impact on an individual's health.

As we discussed at AMIA, one of the most promising paths forward lies in leveraging the power of Artificial Intelligence. AI-driven tools, like Radial's SDOH Actionability Score, are empowering clinicians to proactively address social risk factors. By employing advanced real-time risk stratification, these sophisticated methods connect individual patient circumstances with environmental factors. This allows for a move from broad-stroke identification of SDOH needs to the pinpointing of precise, actionable interventions for each individual patient.

The presentation underscored several key takeaways for the clinical informatics community:

  • The Critical Need for SDOH Actionability: The conversation is evolving from data collection to data utilization. To succeed in value-based care, insights must be woven into the fabric of clinical workflows, not exist in a separate silo.
  • AI's Transformative Potential in Value-Based Care: AI is no longer a futuristic concept; it's a practical tool. By identifying and prioritizing actionable social risks, AI empowers clinicians to directly impact value-based care performance and, most importantly, patient lives.
  • Transparency is Key to Trust and Efficacy: For any new technology to be adopted, especially one driven by complex algorithms, trust is essential. Providing clear, plain-text explanations of social risk factors is fundamental to building user confidence and enabling more effective and targeted interventions.

The real-world impact of this shift towards actionable SDOH insights is already being felt. By focusing on proactive and targeted support, providers and payers are seeing:

  • Enhanced and More Equitable Screening: Proactively identifying individuals who require support, by significantly increasing screening rates for vital health and social factors. This ensures no patient falls through the cracks.
  • Improved Health Outcomes for All: Systematically addressing disparities by directing resources and tailored interventions to mitigate preventable differences in outcomes and advance health equity.
  • Optimized Connections to Care: A marked increase in enrollment in tailored SDOH programs, ensuring that individuals are not just identified as "at-risk" but are successfully connected to the specific support services they need.

Radial's presence at the AMIA National Clinical Informatics Conference served to reinforce our unwavering commitment to pioneering solutions that empower clinicians and are engineered for success in the dynamic landscape of value-based care. The enthusiastic response to the concept of an AI-driven SDOH Actionability Score is a clear indicator that the industry is ready to move beyond the buzzword and embrace a future where social drivers of health are not just identified, but acted upon with precision and purpose. We are thrilled to be at the forefront of this vital work.

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