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Meetings Proceedings for AI Transformation in Policy, Practice, and Education for Nursing and Health

Thursday, June 12, 2025  

American Academy of Nursing Releases Meeting Proceedings for “AI Transformation in Policy, Practice, and Education for Nursing and Health Care: A Foundational Dialogue”

Proceedings Feature Policy Recommendations and Policy Dialogue Discussion Summaries

Washington, DC (June 12, 2025)—The American Academy of Nursing (Academy) has released the meeting proceedings from the November 2024 Policy Dialogue, “AI Transformation in Policy, Practice, and Education for Nursing and Health Care: A Foundational Dialogue,” hosted by the Academy’s Informatics & Technology Expert Panel. The Academy’s Policy Dialogues convene thought leaders to discuss a pressing topic and to propose policy recommendations that champion the organization’s policy priorities to advance health equity

The Academy’s Expert Panels are the organization’s thought leadership bodies. Through the Expert Panels, Academy Fellows, with subject matter expertise, review the current trends, research, and issues within their field to make informed and evidenced-based recommendations. By hosting Policy Dialogues, Expert Panels lead engaging discussions to further enhance awareness and develop policy proposals that work to achieve the Academy's vision of healthy lives for all people.

The Academy is pleased to release the summary for this Policy Dialogue, centered on the impact of artificial intelligence (AI) in health care and policies that address the integration of AI in clinical practice, education, and research. Participants in this dialogue heard from leading experts about the risks and benefits of AI in health care, ethical implications for AI's use, and policy considerations that must be examined as AI technology is expanded. 

Key takeaways from the dialogue include:

  • AI is Rapidly Transforming Humanity and Nursing Practice;
  • Nursing’s Strengths in Care and Compassion Must be Embedded into Data and Systems;
  • Nursing Expertise is Critical to Patient-Centered Discovery and Innovation in AI; and
  • A Forward-Focused Lens on AI is Critical.

Speakers for the dialogue, listed in order of presenting, included:

  • Connie W. Delaney, PhD, RN, FAAN, FACMI, FNAP, Professor and Dean, University of Minnesota School of Nursing;
  • Richard Booth, PhD, RN, Associate Professor and Research Chair in Digitally-Enabled Health Care, Western University; and
  • Rochelle Prosser, RN, CLNE, Founder and Chief Executive Officer, Orchid Healthcare Solutions.

Based on the discussion, the following policy recommendations were highlighted as key priorities for nursing to champion:

  • Expand and increase federal resources for nurse-led research on AI with an eye on meaningfully capturing the patient and the nurse in data and ensuring AI works for patients and the care workforce.
  • Engage the nursing profession in the development and evolution of data systems and technologies to embed values of human caring, compassion, and equity.
  • Promote nursing workforce development that integrates nursing knowledge into AI health care systems for nurses to lead AI transformation and support nursing models of care that address the technosocial reality.
  • Encourage cross-disciplinary approaches to address gaps in AI development, implementation, and regulation.
  • Examine nurse documentation practices and areas for improvement to continue to guide AI inputs.

Read the entire meeting's proceedings online. Additional Academy Meeting Proceedings are also available to view online. Learn more about the Academy’s Expert Panels.