Digging Deeper brings EHF staff and trusted partners together to analyze the research topics and health trends that are central to EHF’s vision for a healthier Texas.
Where AI Could Help: Filling the Gaps that Safety-Net, Rural, and Underserved Systems Face Every Day
Artificial intelligence (AI) is rapidly entering health care including safety-net, rural, and underserved settings, where access, capacity, and workforce constraints are most acute. Across the literature, AI is described as a tool that can support clinical decision-making, improve outcomes, and expand access. But those same systems also raise concerns about bias, data limitations, and uneven
The opportunity to advance diabetes prevention through Texas Medicaid and the Rural Health Transformation Fund
EHF’s Shao-Chee Sim examines how new state and federal policy opportunities could help Texas expand and sustain diabetes prevention.
AI in Safety-Net, Rural, and Underserved Health Care: Why the Stakes Are Different
Artificial intelligence (AI) is rapidly entering health care including safety-net, rural, and underserved settings, where access, capacity, and workforce constraints are most acute. Across the literature, AI is described as a tool that can support clinical decision-making, improve outcomes, and expand access. But those same systems also raise concerns about bias, data limitations, and uneven
Food-Related Value-Added Services in Texas Medicaid: A Comprehensive Overview
The passage of HB 26 reflects growing momentum among Texas policymakers, philanthropic organizations, and health advocates to invest in prevention and address non-medical drivers of health.
What We Heard When We Asked—and Why It Matters for Health Philanthropy Now
Listening as a Form of Stewardship
What Makes Diabetes Prevention Interventions Effective?
Results From a Scoping Review of Evidence-Based Behavioral Interventions for Diabetes Prevention in US Adults