Artificial Intelligence (AI) technologies are increasingly shifting how information and evidence is discovered, accessed, and utilized in academic health education teaching and instruction environments by both educators and learners. This shift extends to both the curriculum and clinical levels within evidence-based health education programs and represents opportunities and risks that librarians and health information professionals must be aware of and address to continue effectively meeting educator and learner support needs.
Join University of Kansas Medical Center (KUMC) librarians Peter Johnson, Prasanna Vaduvathiriyan, and Perry Weidling as they discuss the foundational knowledge of AI, specific roles and benefits AI can bring to health education, and the ethical concerns, trends, and risk mitigations librarians and information professionals should remain aware of as they continue to teach and support learning within health education spaces.
Speaker Information
Peter Johnson, MISLT serves as the Head of Research and Learning at the University of Kansas Medical Center (KUMC) in Kansas City, KS. His work encompasses outreach and integration oversight of the Research and Learning department’s resources and services with KUMC students, staff, and faculty instruction and research support, as well as the supervision of the Research and Learning Librarians who support research and instruction within KUMC’s Schools of Medicine, Nursing, and Health Professions.
Prasanna Vaduvathiriyan, MLS, AHIP-D, is a biomedical librarian who liaises with the School of Health Professions at the University of Kansas Medical Center.
Perry T. Weidling BSN, MLIS serves as a Research and Learning Librarian at the University of Kansas Medical Center in Kansas City, KS. Her work supports the School of Medicine programs serving medical students, residents, graduate students, faculty and staff.
This presentation supports the NNLM goal to provide educational programing that empowers health and information professionals, enabling them to deliver robust biomedical and health information services.
This class is for educational and informational purposes in alignment with NNLM goals and does not offer medical advice.
By registering for this class, you are agreeing to the NNLM Code of Conduct
1. Examine artificial intelligence (AI) and AI literacy and its applications in health education.
2. Identify the present applications of artificial intelligence and its advantages within healthcare and medical education environments.
3. Comprehend ethical concerns, trends, and risk mitigations of strategies associated with AI deployment.