Webinar Jan. 24 – Generative AI in Nursing Education

January 11, 2024

Generative AI in Nursing Education

January 24, 2024 – 12PM EDT

Join us for an engaging webinar designed specifically for nurse educators who are eager to stay ahead in a world where Generative Artificial Intelligence (AI) is becoming ubiquitous. An expert panel will discuss how AI technology is rapidly evolving and becoming more integrated into educational settings, and why it’s essential for educators to understand and harness these powerful tools to enhance teaching and learning experiences in nursing.

Whether you’re new to AI or looking to expand your existing knowledge, this webinar will provide you with the necessary resources and ideas to modernize your approach to nursing education.

Topics Covered:

• Overview of generative AI basics
• Tips to implement AI tools
• Strategies to overcome AI challenges

SPEAKERS

Moderator

William M. Detmer, MD, MSc

William M. Detmer, MD, MSc is the president and CEO of Unbound Medicine. Dr. Detmer is a board-certified internist trained at the University of California-San Francisco with a master’s degree in medical information sciences from Stanford University. In 1994 Dr. Detmer created the first web-based search interface to the world’s medical literature. He was vice president of clinical information products for Ovid Technologies before starting Unbound Medicine. Dr. Detmer spends much of his time working on all things Unbound but still finds time to travel and enjoys being with his family.

Panelist

Kimberly D. Acquaviva, PhD, MSW, CSE, FNAP

Kimberly D. Acquaviva, PhD, MSW, CSE, FNAP is the Betty Norman Norris Endowed Professor at the University of Virginia School of Nursing as well as a Provost’s Office Faculty Fellow. Before she was recruited to UVA in August 2019, she spent fifteen years as a faculty member at the George Washington University School of Nursing and the GW School of Medicine and Health Sciences. During her time at GW, she served as both founding faculty and the inaugural Associate Dean for Faculty Affairs in the School of Nursing. The latest subject she’s helping demystify is one that seems to frighten even the heartiest academics: artificial intelligence (AI). A year and a half after she published LGBTQ-Inclusive Hospice & Palliative Care: A Practical Guide to Transforming Professional Practice in 2017, Kim learned that her wife Kathy had ovarian cancer. Kim and Kathy spent the next six months sharing their experiences via social media and giving people a sense of what it’s like to be living while dying.  Shortly after Kathy died in August 2019, a New Yorker documentary film was made about Kim, Kathy, and their son Greyson. ​ Her new book, The Handbook of LGBTQIA-Inclusive Hospice & Palliative Care, was published by Columbia University Press in October 2023.  ​ Dr. Acquaviva has a Ph.D. in Human Sexuality Education from the University of Pennsylvania Graduate School of Education, an M.S.W. from the University of Pennsylvania School of Social Policy and Practice, and a B.A. in Sociology from the University of Pennsylvania College of Arts and Sciences. She is an AASECT-Certified Sexuality Educator.

Panelist

Justin Fontenot DNP, RN, NEA-BC, FAADN

Editor-in-Chief, Teaching and Learning in Nursing [OADN], Associate Professor [Tulane University], Organization for Associate Degree Nursing

Dr. Fontenot, who is a Fellow of the Academy of Associate Degree Nursing (AADN), is an Associate Professor of Nursing at Tulane University School of Medicine and the Editor-in-Chief of Teaching and Learning in Nursing. Dr. Fontenot is currently serving as a founding member and Co-Chair of the OADN Diversity Equity Inclusivity Committee, where he made substantial contributions as an author of the OADN position paper on Racial and Social Equity. He has demonstrated a deep commitment to addressing racism, bias, and oppression in nursing education and practice. Dr, Fontenot is a dedicated advocate for Associate Degree Nursing and serves as a role model for ADN students, nurses, and faculty. He is interested in how AI can help students in their studies and researchers in their work to speed up the transition of evidence in clinical practice.