Artificial Intelligence
Artificial Intelligence
Supporting Innovation in Health

As part of the 2025-2026 Policy Priorities to Achieve Health Equity, the American Academy of Nursing is committed to modernizing and innovating the health care system. The Academy supports evidence-informed policies that adopt modernizations in technologies, treatments, and models of care that are sustainable, reduce burden, and are effective over time. Innovation in the health care industry, including emerging practices and complex technologies, such as artificial intelligence, must be tested before they are advanced to protect patients, providers, and systems.

Policy Actions Taken by the American Academy of Nursing
Federal Comments - National Science Foundation

On March 14, 2025, the Academy sent a letter to the National Science Foundation (NSF) in response to their February 6, 2025, request for information on developing an artificial intelligence (AI) action plan. The letter emphasized the importance of properly addressing ethical issues related to AI use, the impact of AI on patients, providers, and system burdens, the need for data accuracy, validity, and reliability, and the necessity of research investments to monitor the impact of deployed AI.

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Federal Comment Letter - US Department of Health and Human Services

On March 7, 2025, the Academy sent a letter to the Department of Health and Human Services (HHS) regarding the proposed rule to modify the HIPAA Security Rule to strengthen the cybersecurity of electronic protected health information (ePHI). The letter highlighted the need to support cybersecurity measures in conjunction with sustainable patient care flows, address care that occurs outside of traditional settings, and clarify the application of the rule to current and emergent AI technologies. The Academy’s Artificial Intelligence Taskforce along with the Informatics & Technology and Bioethics Expert Panels contributed to the development of the response. 

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Comment Letter - National Academy of Medicine

On May 3, 2024, the Academy sent a letter to the National Academy of Medicine's Artificial Intelligence Code of Conduct Project Steering Committee regarding their request for information on Artificial Intelligence in Health, Health Care, and Biomedical Science: An AI Code of Conduct Principles and Commitments Discussion Draft.

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Federal Comment Letter - Office of the National Coordinator for Health Information Technology

On April 3, 2020, the Academy provided input and recommendations to the Office of the National Coordinator for Health Information Technology regarding their draft 2020-2025 Federal Health Information Technology (Health IT) Strategic Plan. The Academy’s comments emphasized that critical components should be explored to evaluate AI’s impact on health equity; consider ethical issues in regulatory initiatives; invest in AI research; reduce regulatory burdens on daily practice for providers, secure patient privacy protections, evaluate the integration of AI within the broader Health IT infrastructure; and ensure that the development of AI applications includes clear guidance to ensure privacy and transparency of data use related to personal health information.

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Federal Comment Letter - Office of Management and Budget

On March 13, 2020, the Academy provided feedback to the Office of Management and Budget (OMB) on a draft memorandum to the Heads of Executive Departments and Agencies, Guidance for Regulation of Artificial Intelligence Applications. The Academy recommended broadening the concept around the use of AI related to social goals; including attention to ethical issues in all regulatory initiatives related to AI; including an emphasis and investment in research; including data accuracy, validity, and reliability in the evaluation of the risks, benefits, and cost of AI; and clarifying guidance related to the use of personal health information.

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Events Hosted by the American Academy of Nursing

AI Transformation in Policy, Practice, and Education for Nursing and Health Care

This 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 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. 

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Addressing the Challenges and Policy Implications of Virtual Nursing

This dialogue discussed the implementation of virtual nursing models of care and technology-assisted nursing into current health care practices, including virtual nursing’s impact on established competencies, licensure, standards of practice, regulation, evaluation, payment, and the implications for policy. 

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AI Transformation in Policy, Practice & Education for Nursing & Health Care: A Foundational Dialogue

This policy dialogue explored the underlying issues of AI in health care, and addressed ways to work cooperatively with AI in the context of clinical practice, education and research. Meeting's Proceedings for this dialogue will be published in April 2025.

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Additional Resources
 
An Artificial Intelligence Code of Conduct for Health and Medicine: Essential Guidance for Aligned Action
Published 2025 by the National Academy of Medicine

Over the last decade, advances in artificial intelligence (AI) technologies have created transformational opportunities for health, health care, and biomedical science. While new tools are available to improve effectiveness and efficiency in myriad applications in health and health care, challenges persist, including those related to increasing costs of care, staff burnout and shortages, and the growing disease burden of an aging population. The need for new approaches to address these long-standing challenges is evident and AI offers both new hope and new concerns.

An Artificial Intelligence Code of Conduct for Health and Medicine: Essential Guidance for Aligned Action presents a unifying AI Code of Conduct (AICC) framework developed to align the field around responsible development and application of AI and to catalyze collective action to ensure that the transformative potential of AI in health and medicine is realized. Designed to be applied at every level of decision making—from boardroom to bedside and from innovation labs to reimbursement policies—the publication serves as a blueprint for building trust, protecting patients, and ensuring that innovation benefits people.

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Artificial Intelligence Task Force Members
 
Connie Delaney, Chair
PhD, RN, FACMI, FAAN
Professor and Dean, University of Minnesota School of Nursing
 
Jane Carrington
PhD, RN, FAMIA, FAAN
Associate Professor, Dorothy M. Smith Endowed Chair, and Director of Florida Blue Center for Healthcare Quality, University of Florida College of Nursing
 
Michael Cary
PhD, RN, FAAN
Associate Professor and Elizabeth C. Clipp Term Chair of Nursing, Duke University School of Nursing
 
Christopher Coleman
PhD, MS, MPH, FADLN, PMHCNS-BC, FAAN
Professor and Dean, Oakland University School of Nursing
 
Mollie Commins
PhD, RN, FACMI, FAAN
Professor of Nursing and Adjunct Professor of Biomedical Informatics, University of Utah
 
Mary Joy Garcia-Dia
DNP, RN, FHIMSS, FAAN
Program Director, Nursing Informatics, Center for Professional Nursing Practice, New York-Presbyterian Hospital
 
Rosemary Kennedy
PhD, RN, MBA, FAAN
Chief Health Informatics Officer, Connect America
 
Melinda Kidder
DHA, MSN, RN, FAAN
Chief Nursing Officer, Assistant Secretary for Technology Policy, US Department of Health and Human Services
 
Simmy King
DNP, MS, MBA, NI-BC, NE-BC, FAAN
Chief Nursing Informatics and Education Officer, Children's National Hospital
 
Susan McBride
PhD, RN-BC, CPHMIS, FAAN
Professor and Associate Dean of Research, The University of Texas at Tyler School of Nursing
 
Vinciya Pandian
PhD, MSN, MBA, ACNP-BC, FCCM, FAANP, FFNMRCSI, FAAN
Professor and Associate Dean for Graduate Programs, Penn State University College of Nursing
 
Darryl Roberts
PhD, MS, RN, FHIMSS, FAAN
Vice President, Health Informatics Solutions, RELI Group, Inc.
 
Roy Simpson
DNP, RN, DPNAP, FACMI, FAAN
Professor and Assistant Dean for Technology Management, Emory University School of Nursing
 
Gregg Springan
MSN, RN
Nurse Executive, Epic
 
Maxim Topaz
PhD, MA, RN, FAAN
Elizabeth Standish Gill Associate Professor of Nursing, Columbia University School of Nursing
 
Lucia Wocial
PhD, RN, HEC-C, FAAN
Senior Clinical Ethicist and Assistant Director, John J. Lynch, MD Center for Ethics, MedStar Washington Hospital Center
 
Olga Yukasheva
PhD, MSPE, FAAN
Professor, Johns Hopkins University School of Nursing
 
Debra Barksdale, Board Liaison
PhD, RN, FNP-BC, CNE, FAANP, FAAN
Professor and Dean, University of North Carolina Greensboro School of Nursing