This article is the latest in the Health Affairs Forefront series, Accountable Care for Population Health, featuring analysis and discussion of how to understand, design, support, and measure ...

This article presents challenges and solutions regarding health care–focused large language models (LLMs) and summarizes key recommendations from major regulatory and governance bodies for LLM ...

Generative AI models can identify social determinants of health (SDOH) in doctors’ notes, a new study finds. SDOH like housing and income are major drivers of health outcomes. But these factors are ...

During the past year, the pandemic strained the entire health care system. Many health care providers experienced significant disruptions with reductions in use and lower revenue. Some providers were ...

Google has introduced Health AI Developer Foundations (HAI-DEF), a public resource for healthcare developers that provides open-weight models to help them build healthcare applications, initially ...

A survey of all Arizona physicians found that accountable care organization, clinically integrated network, or integrated delivery network participation was associated with higher use of health ...

At its core, public health communication is about connecting with people—not just delivering facts, but designing messages that reflect what people need, fear and value. What’s often overlooked is ...

AI can give out bad mental health advice. This can occur due to initial training. A new technique uses knowledge localization ...

Despite the ability to collect and analyze far richer health data than ever before, public health and medical experts have failed to use that information to develop new conceptual models for health.

A new review of the theoretical models used around the world to assess, diagnose, research, and treat mental health problems has highlighted the vast array of approaches which exist. Theoretical ...