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Nursing education in the AI era practical guidance for educators to advance equitable care Delaney Wright La Rosa, Danica Fulbright Sumpter, Sally Carlisle, Kenya V. Beard, editors
- Format:
- Book
- Language:
- English
- Subjects (All):
- Nursing--Study and teaching.
- Nursing.
- Artificial intelligence--Educational applications.
- Artificial intelligence.
- Physical Description:
- 1 online resource
- Place of Publication:
- Cham, Switzerland Springer [2026]
- Summary:
- "This book provides a groundbreaking approach to integrating artificial intelligence (AI) in ways that enhance learning, bridge the gap between theory and clinical practice, and ultimately prepare learners to deliver safe, equitable, and high-quality patient care. With structured, practical guidance tailored to the needs of nurse educators and administrators, it offers solutions to critical challenges in nursing education and practice, such as reducing medical errors, promoting equity, and enhancing practice readiness. Through clear organization and real-world case studies, the book provides actionable insights into using AI-driven tools that include adaptive learning platforms, virtual patient simulations, and AI-based tutoring systems to foster critical thinking, enhance clinical decision-making, and support targeted skill development.By highlighting the opportunities and challenges of AI in nursing, each chapter provides critical competencies, ethical considerations, and practical tools, empowering educators to effectively adopt AI. Real-world case studies, evidence-based approaches, and scenario-based learning exercises illustrate how to teach skills while leveraging AI tools in ways that promote justice, equity, diversity, and inclusion. This integrated approach ensures that learners employ AI technology responsibly, preparing them to provide socially just and equitable care in a rapidly changing healthcare arena.Filling a critical gap for nursing professionals navigating the rapidly changing landscape of AI. This book combines ethics with innovation ensuring that AI use aligns with nursing’s core values. One of the first texts to comprehensively address AI in nursing education with a focus on health equity, it stands out as an essential resource for developing future-ready nursing professionals. Whether seasoned AI users or newcomers, readers will benefit from this book’s emphasis on actionable insights, accessible AI literacy, and its commitment to advancing nursing education. Indeed this book is an invaluable resource for those committed to shaping a more innovative and equitable future in nursing by ensuring that AI enhances rather than disrupts the vital human element at the core of nursing"-- Springer Nature Link
- Contents:
- Current applications of artificial intelligence (AI) in nursing education / Olga Kagan, Lilly Mathew
- Ethical considerations in AI integration / Renee McLeod-Sordjan
- Developing AI literacy for nurse leaders and educators / Mary Joy Garcia-Dia
- Integrating AI into the nursing curriculum / Delaney Wright La Rosa, Jennifer Adrian Rossetti
- A.I.’s impact on nursing practice and care / Rachel Rae Walker, Seyyedehmahdiyeh Khastar, Francis Kuehnle, Miaomiao Shen
- Future trends in AI for nursing education / Kellie Bryant, Michael J. Jabbour, Delaney Wright La Rosa
- Cutting edge exemplars and promising practices / Rachel Cox Simms, Karen Hunt, Rebecca Hill
- Notes:
- Includes bibliographical references
- Online resource; title from PDF title page (Springer Nature Link, viewed February 4, 2026)
- Other Format:
- Print version Nursing education in the AI era
- ISBN:
- 9783032124029
- 3032124026
- OCLC:
- 1569121367
- Access Restriction:
- Restricted for use by site license
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