Nursing Education in the AI Era
Springer International Publishing (Verlag)
978-3-032-12401-2 (ISBN)
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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.
Dr. Delaney La Rosa, EdD, MSN Ed., RN, is a pioneering educator and entrepreneur at the forefront of artificial intelligence integration across healthcare, education, and business sectors. As a Teaching Professor at Florida State University's College of Nursing and founder of the AI Nurse Nexus, they lead transformative initiatives that bridge the gap between AI innovation and equitable healthcare delivery.
Dr. La Rosa's unconventional career trajectory, spanning clinical practice, pharmaceutical industry, research administration at Yale University, leading clinical education at Mayo Clinic, healthcare entrepreneurship, and academic leadership, provides them with rare cross-sector expertise that informs their visionary approach to AI in healthcare. Since 2014, they have worked with AI applications from smart patient rooms and translation technologies to educational tools and business systems, and served as beta tester for pre-market AI models, including OpenAI's ChatGPT. This hands-on experience, combined with their technical expertise in AI development, positions them as a cross-industry strategic thinker with technical expertise.
As a member of the Health Equity Influencers (HEIP) program, Dr. La Rosa offers an ongoing series on responsible AI implementation. Their research on inclusive pedagogy resulted in the development of a novel instrument for curricular and programmatic evaluation, and their AI-centered research is producing data on the impact of AI-supported research on student learning. Their body of scholarly work encompasses AI-supported research, experiential learning studies, curricula, and industry white papers.
In addition to their professorship, Dr. La Rosa supports Florida State University's Nursing and Artificial Intelligence Innovation Consortium (NAIIC). A former Steinbronn Endowed Professor in Artificial Intelligence and sought-after speaker across business, technology, healthcare, and higher education sectors, they share insights on AI trends and implications through keynote presentations and their social media publication, where they analyze current developments in AI research and policy.
As first editor of Nursing Education in the AI Era: Practical Guidance for Educators to Provide Equitable Care, Dr. La Rosa brings together leading voices in the field, synthesizing diverse expertise to help nurses and healthcare educators harness AI's potential while preserving care and promoting the profession of nursing.
As a Native American, they firmly believe in ethical technologies as a means to sustain both culture and care.
Dr. Danica Fulbright Sumpter, PhD, RN, CNE, FADLN, is a nationally recognized nurse educator, consultant, and health equity advocate with over a decade of experience transforming nursing education. As Chief Education, Equity, and Wellness Officer at CS Innovations and Access, Connect
Foreword.- AI in Healthcare and Education.- Current Applications of Artificial Intelligence (AI) in Nursing Education.- Ethical Considerations in AI Integration.- Developing AI Literacy for Nurse Leaders and Educators.- Integrating AI into the Nursing Curriculum.- A.I. s Impact on Nursing Practice and Care.- Future Trends in AI for Nursing Education.- Cutting Edge Exemplars and Promising Practices.- Nursing Education in the AI Era; A Summary.- Afterward.
| Erscheint lt. Verlag | 9.2.2026 |
|---|---|
| Zusatzinfo | VI, 163 p. 3 illus. in color. |
| Verlagsort | Cham |
| Sprache | englisch |
| Maße | 155 x 235 mm |
| Themenwelt | Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik |
| Medizin / Pharmazie ► Pflege | |
| Technik | |
| Schlagworte | Academic Integrity • Artificial Intelligence • Health Informatics • Nursing Education Technology • predictive analytics |
| ISBN-10 | 3-032-12401-8 / 3032124018 |
| ISBN-13 | 978-3-032-12401-2 / 9783032124012 |
| Zustand | Neuware |
| Informationen gemäß Produktsicherheitsverordnung (GPSR) | |
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