Category: Digging Deeper

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

EHF’s Shao-Chee Sim examines how new state and federal policy opportunities could help Texas expand and sustain diabetes prevention.

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 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.

Listening as a Form of Stewardship

Results From a Scoping Review of Evidence-Based Behavioral Interventions for Diabetes Prevention in US Adults

When we align policy, financing, clinical care, and community action, Texans get healthier—and the system gets smarter. 

Spotlighting systems, policies, and partnerships that shape the health of Texans