Advancing Health Equity Through Artificial Intelligence: An Educational Framework for Preparing Nurses in Clinical Practice and Research.

The integration of artificial intelligence (AI) into health care offers the potential to enhance patient care, improve diagnostic precision, and broaden access to health-care services. Nurses, positioned at the forefront of patient care, play a pivotal role in utilizing AI to foster a more efficient and equitable health-care system. However, to fulfil this role, nurses will require education that prepares them with the necessary skills and knowledge for the effective and ethical application of AI. This article proposes a framework for nurses which includes AI principles, skills, competencies, and curriculum development focused on the practical use of AI, with an emphasis on care that aims to achieve health equity. By adopting this educational framework, nurses will be prepared to make substantial contributions to reducing health disparities and fostering a health-care system that is more efficient and equitable.

A participatory action research pilot study of urban health disparities using rapid assessment response and evaluation.

Healthy People 2010 made it a priority to eliminate health disparities. We used a rapid assessment response and evaluation (RARE) to launch a program of participatory action research focused on health disparities in an urban, disadvantaged Black community serviced by a major south Florida health center. We formed partnerships with community members, identified local health disparities, and guided interventions targeting health disparities. We describe the RARE structure used to triangulate data sources and guide intervention plans as well as findings and conclusions drawn from scientific literature and epidemiological, historic, planning, clinical, and ethnographic data. Disenfranchisement and socioeconomic deprivation emerged as the principal determinants of local health disparities and the most appropriate targets for intervention.