2026 Nursing Innovation Summit
This session explores how artificial intelligence (AI) tools can be applied to improve clinical workflows in nursing practice. Participants will examine real-world implementations from Duke Health, including nurse-led evaluations of AI tools at the bedside, and consider the practical, ethical, and operational factors that shape successful adoption. Emphasis is placed on the nurse's role in identifying workflow problems, evaluating AI solutions, guiding implementation, and measuring outcomes.
Target Audience
Nurses
Learning Objectives
At the conclusion of this activity, participants will be able to apply prompt engineering techniques to LLMs effectively and identify at least one practical use case within their own clinical or professional workflow.
Participants will confidently identify and articulate opportunities to integrate generative AI LLMs into their daily practice to reduce documentation burden and improve workflow efficiency.
Course summary
- 4.50 ANCC
- 4.50 Attendance
In support of improving patient care, Duke University Health System Clinical Education & Professional Development is accredited by the American Nurses Credentialing Center (ANCC), the Accreditation Council for Pharmacy Education (ACPE), and the Accreditation Council for Continuing Medical Education (ACCME), to provide continuing education for the healthcare team.

Available Credit
- 4.50 ANCC
- 4.50 Attendance

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