AI in Clinical Practice Under Shifting Laws: A Jurisprudence and Advocacy Workshop for Frontline Protections

Presentation Type: Workshop
Not recorded for AMIA Now

Presentation Time: 10:30 AM - 12:30 PM

Abstract Keywords: Health Policy, Reimbursement and Affordability, and Sustainability, Ethics, Workforce Automation, Communication, and Workflow Efficiency
Working Group: Nursing Informatics Working Group
Primary Track: Driving Change at Scale through Effective Leadership and Governance


Recent legal and regulatory developments, court decisions, and state-level AI legislation are reshaping the landscape in which nurses encounter AI and generating a new body of nursing jurisprudence that clarifies how law assigns accountability to nurses and organizations, yet rarely names nursing autonomy or competencies explicitly.(1–3) This fragmented landscape underprepares nurses to navigate or influence AI-related laws.(2,3) AI adoption in healthcare is accelerating, reshaping nursing practice. Reviews of AI in clinical care and policy emphasize that safe integration of AI-enabled tools depends on clear regulatory frameworks, assurance mechanisms, and clinician competency in interpreting AI outputs.(4–6) Recent nursing literature raises concerns about privacy, surveillance, professional judgment, and emerging ethical tensions, and calls for balancing innovation with strong protections rather than casting AI as simply good or bad.(3,7,8) Yet most nurses receive little formal education in jurisprudence or AI-related regulation, leaving them with limited skills to apply relevant laws and to judge when they can safely use, question, or refuse AI tools.(1–3)
This 2-hour instructional workshop provides: building practical AI jurisprudence literacy for nurses and informatics professionals. Through framing and guided small-group work, participants will (1) identify an AI-related bill, regulation, or policy document; (2) analyze key provisions using a nursing-focused systems placemat and complete a model-card “nutritional label” for an AI tool operating under that policy; (3) use an advocacy conversation card to formulate nursing-focused questions and an actionable advocacy step they can use with a stakeholder in their own context to support safe AI use.

Speaker(s):
Benjamin Galatzan, PhD
University of Alabama

Elizabeth Johnson, PhD, MS-CRM, RN
Montana State University

Christina Baker, PhD,RN, NCSN, NI-BC
University of Colorado, Anschutz, College of Nursing

Ann Wieben, PhD, RN NI-BC FAMIA
University of Wisconsin-Madison School of Nursing

Katherine Dudding, PhD, RN, RNC-NIC, CNE
The University of Alabama

Carolyn Sun, PhD
Hunter College

Author(s):
Benjamin Galatzan, PhD - University of Alabama; Elizabeth Johnson, PhD, MS-CRM, RN - Montana State University; Christina Baker, PhD,RN, NCSN, NI-BC - University of Colorado, Anschutz, College of Nursing; Ann Wieben, PhD, RN NI-BC FAMIA - University of Wisconsin-Madison School of Nursing; Katherine Dudding, PhD, RN, RNC-NIC, CNE - The University of Alabama; Carolyn Sun, PhD - Hunter College;

---