NIHCM Foundation supports health reporting and education projects for journalists that can help health plans, policymakers, health care delivery, health care consumers, and related stakeholders improve the affordability, accessibility, and quality of US health care.

Journalists from national and local print, digital, broadcast, nonprofit, and for-profit news organizations, as well as freelancers, are welcome to apply.

Topic areas of interest:

* Affordability: Reporting or education projects that may inform policymakers, the health care industry, and the public about the many factors that impact the affordability of health care, and/or health care costs.
* Pharmaceuticals: Reporting or education projects that examine the factors influencing drug pricing, patents, pricing transparency, and policy interventions aimed at improving access to affordable medications. We are especially interested in work on GLP-1 agonists and related medications.
Provider consolidation and changing markets: Reporting or education projects that look at the effects of health care competition and consolidation on costs, price variation, quality of care, and patient access.
* Health care delivery: Reporting or education projects that will increase policymaker, industry, and public understanding of the value and challenges of different methods of providing quality health care. Areas of interest include how different models of care may reduce health care costs, while also improving health care efficiency, quality, and patient outcomes.
* Chronic disease management: Reporting or education projects that examine the challenges and opportunities associated with managing chronic diseases and related costs, while improving patient outcomes and health care efficiencies.
* Artificial Intelligence: Reporting or education projects that explore the transformative potential of artificial intelligence and machine learning to improve health care delivery, efficiency, patient outcomes, and/or the potential challenges that AI introduces in terms of costs, quality of care, or security. We are especially interested in research on how the use of AI with electronic health records may be increasing coding intensity in the commercially insured population.